Robotic medical assistants observe patient essential statistics and notify the nurses if there is any requirement for a human presence in the ward, enabling nurses to observe multiple patients at one time. Such robotic assistants even enter the data into the patient’s digital health record. Robots are even facilitating in surgery, enabling doctors to perform surgery via a tiny incision rather than an inches-long incision. Application of artificial intelligence in India is creating a huge influence in various spheres of medicine.

Although rising opportunities are rare to knock up without any heavy investment, artificial intelligence is a cost-effective tool engine for healthcare. If we talk about workforces and employment, this sphere has been rapidly transforming with time and is going to consistently emerge to build on the suitable utilization of amalgamation of humans and AI. Artificial Intelligence possesses the power to mitigate the burden on doctors and provide them the appropriate equipment to cope with their tough jobs in a better manner.

AI is no longer a science fiction as robots have arrived in the big picture. Let us see the recent AI healthcare innovations which are revolutionizing the sector.

1. daVinci

Let us start with probably the most prevalent of AI robots for Robot Assisted Surgery.

This is basically a machine which obliterates the line between “robot” and “medical equipment”. The system is usually within the complete management of the surgeon, though the enhancements it is emboldening are phenomenal.

With the daVinci system, operations will be performed with only some small incisions and greater accuracy that result in minimized bleeding, quicker healing, and a decreased threat of infection.

2. Actuated and sensory prostheses

Recently scientists at the MIT Bio mechatronics lab have built rotationally activated robotic limbs which have the potential of tracking the position in 3-D space and moving their joints in an upward direction at about 750 times per second.

Moreover, they have invented bionic skins as well as neural implant systems which connect with the nervous system enabling the customer to get the appropriate feedback from the prosthetic.

3. Endoscopy-Bot

An endoscopy is a very uncomfortable and delicate procedure where a tiny camera or say a tool with an elongated wire is passed into the body to a find out any damage, or foreign objects, or any signs disease. AI has given slender and flexible mini robo-cameras here to discover the exact location which doctor requires.

AI has even provided “capsule endoscopies” where the patient swallows a pill-sized robot which travels via their digestive tract collecting information and capturing pictures which are sent straight to a processor for diagnosing the issue.

4. Disinfectant bots

The infelicitous truth is that the premises of hospitals are highly dirty places. And thus they might become a ground for few of the worst bacteria spreading around.

Which is why it is extremely significant that hospital rooms must be clean, and why we should leave that for humans when robots are there to do that job? Modern disinfecting robots walk on their own in patients’ wards, which are showered with UV rays for multiple minutes until no microorganism is probably alive.

5. Robotic nurses

Nurses are usually over-worked and so robotic nurses have arrived in the picture. There are robots which might do digital paperwork, estimations of vital signs and observe a patient’s state. Robots are hence performing the work of nurses at a basic level.

6. Robotic Assisted Biopsy

This is an astonishing and basically a life-saving enhancement move by a project called MURAB (MRI and Ultrasound Robotic Assisted Biopsy.)

It is medically a technique for detecting early signs of cancer where a robotically controlled transducer is diverted to a biopsy site with a help of MRI/Ultrasound combination technique.

It even scans the area to attain complete information on it and then a surgeon will pick from a 3D image build exactly where the biopsy is needed to be done. Later, the robot comes out from the same way it got in.

7. AI epidemiology

Robots are excellent at noticing patterns and creating predictions from information and that is why epidemiology has been a logical target for our AI-driven system.

Such body-less robots scrutinize the info on disease from the doctors and various references with the given medical databases to estimate about the outbreak taking place and to stop it from spreading.

However several objects are involved in this area, one of them is AIME system that has got deployed against signs of dengue fever in Malaysia few months ago with about 85% rate of prediction, saving millions of lives as well as dollars.

8. Antibacterial nanorobots

Antibacterial nanorobots are small machines which are developed from gold nanowires and painted with platelets as well as red blood cells which might even remove bacterial infections straight from a patient’s blood. They carry out this procedure by simply copying a bacterium target, then capturing them in the nanowire mesh once the bacteria is close. They are also passed via a patient’s body with some ultrasounds to accelerate the clearance procedure and to do the treatment of various infections. Nanorobots are utilized in place of several antibiotics that will have a great influence in our battle against the rising antibiotic-resistant diseases.

Collecting all the thoughts

This is going to be the monumental leap in the consolidation of man and machine, and a big source of promising service for millions of patients. Artificial Intelligence will facilitate hospitals in taking a broad and comprehensive approach for all the disease management, coordinating plans and facilitating patients to suitably handle even long-term patient treatment programs.

The post Are Robots Joining Healthcare Forces? appeared first on Cyfuture Blog.

Decision-making ability of Self-Driving Cars

However, self-driving cars are anticipated to decrease the amount of accidents taking place on roads as McKinsey & Company reports have claimed. Accidents can still take place and we have to contemplate how to code robots. In addition to this, we have to understand who is accountable for taking decisions regarding how to code various devices no matter if it is for customers, politicians, marketplace, insurance industries or many more. If a self-driving car faces a hindrance going down the road, it will reply in several ways and save it and its passengers from risking or hitting the swerving lanes which ends up harming various passengers.

So, is the decision regarding the lane to diverge relying upon the influence of the people sitting in the cars? Perhaps the person who can get killed might be a parent or even a prominent scientist. And what if there are some small children sitting in the self-driving car? Conceivably, at this point the decision here can be taken by avoiding the hindrance or by simply a flipping a coin or serendipitously selecting from any of the features. These are basically all the core perplexities we have to resolve as we create and model AI-driven systems. Another fold in these decision-making algorithms requires one to entails accidents which can cause damages like brain or spinal injury and various disabilities.

Military drones drowning out targets

As we have talked about various spheres, the world of weaponization includes rising fields of artificial intelligence and robotic process automation. It has been estimated that more or less 30 nations have been reported about investing in armed drones, however these are basically operated remotely. Various drones possess the capability to fly and then land autonomously although any amalgamation of these weapons is completely commanded by operators. Advancement in the applications of Artificial Intelligence in India enhances the performance of future-driven weapons which can discover, recognize and determine the engagement of targets automatically.

AI-based weapons which would discover their targets are going to be the ultimate step in the coming decades when we talk about the enhancement in the field of automation in weaponization. Since the age of World War II, countries have used “fire-and-forget” weapons like torpedoes and missiles which will not be stopped once they are launched.

On the contrary, autonomous weapons, although, they will not decide about the targets and their engagement. The humans basically take the decision to destroy or finish the target and the weapons simply perform the action. Various weapons even utilize automation to facilitate humans in taking the decision of firing the concerned targets. In the present era, radars utilize automation to assist in classifying objects, however humans yet take the decision to bore people in supermarkets the maximum number of times.

Robots With Mortality: Can Life And Death Decisions Be Coded?

Recently, Microsoft have disclosed the complexity of building morality-driven robots. Chatbot Tay, which was recently created to speak similar to a teenage girl, has started behaving like a Nazi-loving racist even less than twenty four hours on social media. Therefore we can say here that, Tay was not made with a feature to be completely moral. However, loads of robots are indulged in the work which has simple ethical consequences.

Since robots are becoming highly precocious, their moral decision-making capability can become highly complicated. However this awakens a question for coding morals into robots, along with a question that can we trust robots when it comes to moral decisions?

To be clear, there exist mainly two approaches for building a moral robot. The primary one is to decide over a particular morality law (increase happiness, for an instance), create an algorithm for that law, and design a robot which perfectly obeys the code. However the complexity is technically about the correct morality based rule. Every ethical law, in fact the above mentioned, has a multitude of exceptions as well as plenty of examples.

The secondary is to build a machine-learning robot and then train it perfectly respond to several scenarios for arriving with a desired output. This is pretty much similar to the ways by which humans learn ethics, however it raises a question that either humans are the best ethics teacher or not. If those humans who communicated with Tay train an AI-driven robot, then it is likely that it will not build the right morality-oriented features.

Putting theories into action

How to design morality-driven robots is not just a speculative theory; numerous philosophers as well as programmers are recently working this project and anticipate the coming decades will have the desired result.

Georgia Institute of Technology is currently operating to create robots obey with global humanitarian law. If we talk about this scenario, there exist a large set of laws as well as instructions for robots to obey, that have been designed by us and thus approved by international states. However several cases are not much like others, GIT believes that their project can be successful in the upcoming decades.

They discovered that if a robot has been trained with an ethical response for about 4 respective scenarios, it was capable to expand and take a suitable moral decision in the rest 14 cases. It is highly possible to design robots with respective moral-based features, however should we track that goal?

Humans can also make some mistakes. In fact, it is doubtful, that robots will be capable to resolve the complicated moral decisions for the predictable future. And till today, humans are not sure that we should hand over the reign of decision making to robots, especially when the cost could be human lives.

The post Should Robots Be Allowed To Take Life-Death Decisions appeared first on Cyfuture Blog.

Scientific and fictional movies have always conveyed one message to the world that it is usually a bad and alarming signal when a robot has started getting dreams or some visions. 

Dreaming robots will categorize data which they have analyzed and process the most suitable way to resolve issues which they confronted in the day and thus, it is assisting them to adapt in a way humans do.

A good night’s sleep is not just regarding getting relaxed, when we dream, our sub-conscious minds work out various events from the day. This might mean undergoing a sentimental experience in terms of several past memories, or probably discovering a solution about some topic which troubled humans in the day.

However, what can we say about robots?

Can AI bots really dream?

Can AI replace human jobs in the near future?

Ho profitable can chatbots be for a business?

There are a lot of variables associated with their existence.

As robots are unable to dream regarding flying in the sky, a team of researchers is operating to offer them the similar capability to create various observations in the night sleep time.

Therefore, what is the challenging scenario here for robots? If we talk about the present time, the world’s highly Artificial Intelligence scientists are simply cutting their teeth over this fantasized application of Artificial Intelligence.

The Scenario

A Robot basically never operates with its own brain. As a matter of fact, irrespective of the fact it is gifted with a brain by its God (we can say its creator or human), a robot will never possess its own mind. A robot can be defined as a machine which works in a similar way in which humans do.

Robots do get confused like humans and thus their dreams can be troubling too. Dreaming of robot can signal to loads of things, but all it depends on how we, the humans interpret them.

So how scientists can help with dreaming? They can provide the robots with various training programs of some rules as well as parameters that they will later on verify with overnight. This path must lead to a better and highly proficient track in the upcoming future.

However for AI-driven scientists, the complete idea is nothing although a nightmare situation. As a matter of fact, dreaming might be a chief solution for building Artificial Intelligence systems, agents as well as robots which learn quicker and with depth — which is, just in the way we do.

Natalia Díaz Rodríguez, a researcher for the Paris-based research initiative, Project DREAM, is working on this challenge and explains her take on this scenario.

“What our team is attempting to do is basically include sleep as well as dream driven phenomenon into a cognitive framework of robots”.

A flood of latest studies recommends that sleep as well as dreaming researches facilitates the human brain go through entire day’s experiences to amalgamate and even insert the significant ones with depth. In the same way, by providing robots as well as Artificial Intelligence machines off periods, technically where they will incorporate what we have provided them to learn, Project DREAM is going to enable such robots to provide some latest data and to get trained and adjust to dynamical events. Artificial Intelligence in India is yet to hit on this subject although NASA is ruling it at present.

So our next question is: what robots basically dream about?

While a robot decides to sleep, can you wonder what it basically dreams about? Video games, may be? Or Flying in a Sky?

Before robots start actually dreaming, scientists are training robots and teaching them to learn through reinforcement techniques which is via a collection of rewards along with penalties.

They are taking one of the highly significant initiative regarding Artificial Intelligence as well as deep learning targeting to combine reinforcement driven unstructured learning along with already defined “off times” similar to sleep and even dreaming, while robots will examine and collect what they have been trained about.

Google’s DeepMind: Helping robots to have the ability to dream

Google is no behind when it comes to Artificial Intelligence. Google’s prime success with DeepMind arrived by means of standard video games. Games such as Breakout as well as Asteroids enhanced Artificial Intelligence, the much easier sequences needed for those respective game, however even located the base for supervised learning techniques utilized at present.

Thus, in the consequence of latest Neuro-scientific inventions disclosing the significance of dreams for the purpose of memory consolidation, Google’s Artificial Intelligence industry DeepMind is introducing a latest technology that enables robots which can dream for the purpose to enhance their proportion of learning.  A study has shown Artificial Intelligence oriented dreams significantly entails multiple scenes from Atari Video games.

DeepMind’s initial success consisted teaching Artificial Intelligence to use old videos games such as Breakout and Asteroids. However the eventual game here is basically for helping robots dream regarding the similar things with which humans do thereby challenging the real world scenarios which play significant roles regarding learning as well as memory formation.

To perceive the significance of dreams for those AI robots, it is advisable to analyze how various dreams operate in mammalian brains like our own (considering it does not involve any aliens who are eavesdropping over the technical journalism scenario). One of the chief researches which researchers made in pursuit to scrutinize the role of such dreams from a neuro-scientific point of view was basically the structure of dreams is highly  threatening and negative.  

DeepMind is utilizing dreams in the similar fashion, speeding the ratio by which a robot understands by concentrating over the challenging or threatening structure of a scenario under a game.

When we talk about humans, nocturnal sleep (or we can consider daytime naps as well) facilitates to amalgamate memory, moving ‘short-term memory’ towards ‘long-term’ storage. Via these 3 different methods: stabilization, improvement along with integration, human brain migrates memories towards an uber-planned filing system for simpler procedure in the coming future.

The ultimate and the end game is basically to get robots to dream like humans. Since we humans find technology bewildering and amazing, we do not want to stop at chatbot services. Humans always have to crawl first before they learn walking, but in case of robots, they have to beat asteroids if they have to seize facial detection research.

The Road to Future

The objective is to migrate artificial intelligence on the road to learning in the same way as humans do which is via experimentation. The move from supervised learning, the point where Artificial Intelligence scrutinizes provisioned information, seeking for patterns, to unsupervised learning entails training robots to experiment and scrutinize how various actions influence the results. This form of learning is basically much time taking because of an unlimited amount of variables that makes it pretty suitable solution for the time of inactivity, or the time of dreaming. It is yet a burgeoning field of discovery within the artificial intelligence realm. However everything at present is completely experimental, various artificial neural networks are experiencing huge leaps within image categorization.

The post The Age of AI: Robots can dream like Humans appeared first on Cyfuture Blog.

It is a remarkable opportunity for students to get access to a digitalized education for a bright future. Artificial Intelligence will resolve myriad issues in our education system.

• Smarter the AI, Smarter the Education

Listed below is a list where Artificial Intelligence is leading to a better world of smarter learning.

12. Early learning: Artificial Intelligence provides an adaptive learning interface with interactive games and toys, especially for tiny tots. Osmo is considered an intelligent game which provides online as well as hands-on learning.
13. Adaptive learning: AI provides some remarkable adaptive reading-based software for learning processes. Students can use such software for quick learning of mathematics as well as other subjects.
14. Course materials:  Various content developers and publications are utilizing Artificial Intelligence to deliver best-in-class lessons with a next-Generation approach. Numerous startups in India are utilizing this technology to automate the operations.
15. Online learning: In the present era, lots of student prefer online classes based on AI machine learning to enhance their grades, courses, and practical knowledge.
16. Language learning: There are some language learning applications for students which are running on Artificial Intelligence algorithms and provide enhanced translation and speaking services.
17. Writing: Feedback as well as some scoring systems which are based on AI have been a great support for content marketing sector. One big example is Grammarly and WriteLab (acquired by Chegg), which are widely utilized by students and teachers.
18. Scheduling: Artificial Intelligence has been playing a robust role in next-generation school scheduling. Some schools are switching to various individual student schedules and are anticipating smarter scheduling strategies in future.
19. Exploration: Tiny tots are offered lots of chances to learn as well as build in virtual reality. Artificial Intelligence can consistently enhance the VR experience in numerous ways, entailing gestures as well as image rendering, voice recognition, along with improved near-real experiences.
20. Assistive tech:A large list of options provided by AI entailing text to voice, voice recognition and text modification are providing huge benefits to the education sector.
21. Assessment. Artificial Intelligence is enhancing assessment in several ways, entailing adaptive testing, tracking procedures in problem-solving, quicker grading, and governing student progress. It is in fact the primary key to interoperability and amalgamating numerous sources of formative assessment.
22. Diagnosis: Artificial Intelligence is quickly enhancing the diagnosis of some medical problems of children such as vision problems and learning differences.
23. Analytics: Artificial Intelligencepowered analytics platforms are highly utilized in higher education, especially post-graduation and doctorates.
24. Guidance systems: Various talent platforms such as LinkedInas well as Ziprecruiter assist a large set of employers and capable candidates. AI provides quick pathways to employment with data from various job clusters, especially for new graduates.
25. Competency management:  AI-driven courses can amalgamate assessment data from numerous sources and assist teachers make excellent judgments notified with digital badges or microcredentials.
26. Learning management systems: Variouslearning platforms such as Canvas from Instruction, D2L, and AltSchool are raising the utilization of Artificial Intelligence. There are several adaptive LMS such as Fishtreeand Realizeit which are utilized usefully in career education. These platforms can combine recommendation engines with personalized pathways to higher learning.
27. Experience management. As learning has become highly distributed and since the competency system is enhancing, the education sector is integrating sources, schedules as well as instinctive learning experiences.
28. Mentoring: Artificial Intelligent connects enterprise mentors to students at the appropriate time for ‘real’ industry experience.
29. Recruiting and onboarding: Artificial Intelligence is extensively utilized in corporate recruiting and onboarding in the educational sector.Frontline educationis a huge platform to enhance the proficiency of recruiting, career matching and onboarding.
30. Staff scheduling as well as substitute management: For managing complicated staffing procedures assisted by customized and competency-driven learning, AI enabled education is creating intelligent scheduling solutions.
31. Professional learning:  By adopting customized learning procedures, the latest learning platforms for various educators provide micro-credentials. In the future, such platforms are going to be adaptive with customized recommendations (which is provided by schools of the education as well as platform partners).
32. Transportation: Transportation scheduling has become better with Artificial Intelligence driven mobile applications such as Creatrix. In the coming decade, all the educational institutes could be seen incorporating pooled transportation run through AI.
33. Facilities management: AI oriented smart building management software assists in maintaining HVAC, lighting and security.
34. Nutrition: Artificial Intelligence based programs concentrate on the security and condition of students getting nutritional assistance. Artificial Intelligence provides smart tools to enhance nutrition and wellness for higher learning.
35. Safety and Security: Artificial Intelligence is being utilized to recognize patterns in the student language or behavior, which can reduce school violence.
36. School management. With a rising number of microschools and reasonable private schools in India, AI is making a mark in school management interfaces, which entail student information, recruitment, attendance as well as finances.

• The Future Ahead

Thus, persistent relationships based on teachers’ recommendations can build robust learning experiences, and AI is going to be a chief factor in education sector. The opportunity to facilitate young students in academics with the innovations of AI will be a huge technological impetus.

The post Smarter Learning: AI Redesigning Education appeared first on Cyfuture Blog.

Apart from medical research, modern software technology is having a chief role in diagnosing infectious diseases. To be more particular one of the impediments for mortality mitigation has been inaccurate malaria detection.

Thus, to enhance detection of malaria, image analysis software, as well as artificial intelligence based strategies, are getting employed to evaluate parasitemia under microscopic blood slides. This blog provides an outline of such procedures and explains the present advancements in image analysis and artificial intelligence for automated microscopic malaria diagnosis.

Application of Artificial Intelligence is contributing to malaria detection with numerous methods such as feature computation, imaging, parasite detection, image preprocessing, cell segmentation and automatic cell classification. 

Malaria is considered as an extremely contagious disease globally which cause loads of health issues in several tropical countries. Plasmodium falciparum, which is known as a vital human malaria parasite, is considered to cause critical illnesses followed by thousands of deaths every year. 

Recently at Indian Institute of Technology-Delhi, researchers have reported that they have designed an Artificial Intelligence-driven digital hardware system to diagnose malaria, intestinal parasite, tuberculosis as well as cervical cancer just within some milliseconds. They have built an artificial intelligence oriented less-power electronic hardware systems which will assist in diagnosing various infectious diseases instantly.

No matter how much attempts we do to manage malaria, detecting it in all the spheres of the globe yet needs calculating malaria parasites under the automated microscope over a glass slide smudged with blood. This the era, where an artificial intelligence based code will do diagnosis more effectively in comparison to humans.

The motivation of this article is all about understanding the significance of AI in the deadly disease malaria and the productiveness of software in diagnosing malaria.

• AI accelerating Medical Research
• Convolutional Neural Networks (CNN)

Artificial Intelligence is the talking trend in Information Technology that has enhanced the performance in several medical fields. With daily physical detection of blood smudges, it is a thorough but time taking procedure needing perfect experience in organizing and evaluating the parasitized as well as uninfected cells. Generally, it might not count properly and can cause issues if we don’t possess the perfect practice in particular locations globally.

Various enhancements are done in leveraging progressive image processing as well as analysis procedures to remove physically-designed options and design machine learning driven detecting frameworks. Although such frameworks aren’t measurable with additional info provided for practice and the manual methods consume loads of time. Deep Learning or AI-based models, or in fact to be particular, Convolutional Neural Networks (CNN) have demonstrated to be highly productive in a broad range of computer vision activities. 

Those convolution layers study ‘spatial hierarchical patterns’ given in the information that is even translation constant. Therefore they are capable to go through various facets of images. For example, the primary convolution layer can determine medium and localized patterns like edges along with corners, a secondary convolution layer can understand bigger patterns depending on the options from the primary layers. This enables CNN’s to automatize designing and processing productive options that oversimplify the latest information points. Pooling layers assist with downsampling as well as dimension minimization.

Therefore, CNNs facilitate medical science with automatizing and extendable ‘feature engineering’. In fact, operating within wide layers allows us to conduct operations such as image classification. Automated malaria diagnosis utilizing AI-driven structures like CNNs will be highly productive, affordable and ascendable specifically with the arrival of transfer learning as well as pre-trained frameworks that operate pretty well with various constraints such as less information.

• A detailed Breakdown of Image Recognition for Malaria

The primary step is generally the procurement of digitalized images of blood stains that is based greatly over the tools as well as materials getting utilized. The Image acquisition segment knocks various approaches for several kinds of microscopy, staining as well as blood slides (thin or thick). With image acquisition, multiple systems carry out one or more preprocessing procedures to eliminate noise and regularize lighting along with color differences intrinsic within the image acquisition and the staining procedure. The Preprocessing segment classifies the publications in accordance to the preprocessing strategies executed.

The next step generally entails the detection and segmentation of each and every blood cells which are visible under a blood slide image, like parasites or platelets. Red blood cell detection and segmentation provides an outline of all the segmentation procedures which are utilized for microscopic malaria detection.

In the final step, a mathematical discrimination procedure which sorts the segmented cells into various classes depending over the computed options is executed. For an instance, labeling an individual red blood cell either as infected or say uninfected is a prime segmenting operation conducted that enables to compute the parasitemia.

·Mobile Smartphones for Malaria Diagnosis

Some researchers have designed a mobile based application for malaria diagnosis which executes over an Android smartphone connected to an old light microscope. The perfect hardware solution for the purpose of microscopic malaria detection in resource-based settings will be a medium ‘portable slide reader’ within which a blood slide will be pushed and provide results of parasitemia.

However information technology is leading this way and to be specific the comparatively extreme optical magnification required (till 1000×) for malaria detection in amalgamation with oil immersion is a pivotal downsizing hindrance, till options are available.

Artificial Intelligence provides tiny camera-built computing tools, like smartphones, that will be connected to a magnifying tool and will then calculate the parasitemia, utilizing image analysis as well as machine learning. Digital era based smartphones are highly robust computing devices and the cameras offer enough resolution for malaria detection.

Furthermore to this, Android devices are comparatively affordable and are generally within the possession of medical workers. However cellular network connectivity will assist with the data exchange through healthcare workers as well as hospitals. Tiny magnifying tools which will be connected to a smartphone’s camera, enabling precise optical magnification in comparison with digitalized zooming, are provided commercially.

Making an Impact

As aforementioned, we went through a real-world medical imaging strategy of malaria diagnosis in this blog. Artificial Intelligence in India for medical treatments is on its way to create wonders. Malaria diagnosis on itself isn’t merely a simple method and the quick and correct detection of this deadly disease across worldwide is in fact a critical concern. We have gone through simple to create open-source methods leveraging Artificial Intelligence that will provide us progressive precision in diagnosing malaria thereby allowing Artificial Intelligence for medical good. Since AI is a rising machine learning procedure presently, we might hope several innovations to knock soon for functions like cell staging, cell classification and cell segmentation within automatize malaria detection.

The post Diagnosing Malaria: Artificial Intelligence for Global Health appeared first on Cyfuture Blog.

The rising technology of Artificial Intelligence (AI) has enabled some unbelievable inventions for Judiciary system and has even provided a search tool which enables lawyers to browse via thousands of legal case records and in fact offers them the best predicted results in just few seconds.

Imagine the future of a judiciary system where a lawyer possess the detailed knowledge of legal matters which artificial intelligence will collect. This is an extremely impressive innovation which technology has brought to existence.

Daniel L. Chen, who is an experienced researcher at both the Toulouse School of Economics as well as University of Toulouse Faculty of Law, has arrived at a concept where Artificial Intelligence will be used to assist in rectifying the biased decisions of our human judges or judiciary systems.

Artificial Intelligence has brought the concept of machine learning in to our real world for predicting the judges’ decisions in legal cases. At present it appears like AI is capable of making an excellent prediction regarding how the judges are going to rule even when the case has not been opened, utilizing the data over the judge’s identity and the nationality of the judiciary system.

So, with time, as the application of artificial intelligence gets involved in the courtroom, law with Artificial Intelligence is going to be the talk of the town. Usually, judiciary system is not the expected place to look for innovation in technologies such as artificial intelligence, however, my article is going to change your mind.

Whenever any non-tech sector confronts the latest technology, questions do arise about that technology affecting regular operations and the careers of employees who belong to that profession. And the judiciary system is no exception. Today, artificial intelligence in India is all set to revamp the legal systems in several ways, since in several cases, it increases the possibility of fair judgments while appearing in court.

How can we envisage the role of AI in the Judiciary System in the approaching decade?

1. The idea of a Robotic Judge 

Recently, at Stanford University, a group of law scholars and computer science students have reported about their invention about the robotic judges. They have been researching about how AI will be a game-changer in the judiciary system. They are working on providing improvements to various administrative processes. They are designing an AI-powered robo-judge for the courtrooms in the coming decade. We can predict a time when AI-oriented lawyers will be narrating everything to robotic judges regarding the case and making unbiased and quick decisions. The promise of robotic judges will provide an unbiased approach. We can expect in accordance with statistics that an AI-powered system can be highly accurate in comparison to human decision-making systems.

2. Fixing human failure

We can’t completely blame the judges for being intentionally partial. Communities have long been talking about corrupt systems, but in the end we must remember they are also humans as there are several factors which influence their decisions, although the innocent pays the price sometimes.

Artificial Intelligence is basically not the ultimate remedy to these kind of human failures. But yes, it can improve things, provided with some solid research.

If we are utilizing AI in judiciary it doesn’t imply that all the jobs will be done by machines. The objective is to assist humans and the collaboration of technology and law should lead to successful results, contemplating judiciary matters as well as human experience.

3. A better and explained version of judge’s decisions

In the court, each and every action takes place behind the closed doors. Even the press and various stakeholders may not be involved.

In contrast, AI can reveal to the public that how the legal conversation and decisions are conducted, explaining why the judge has chosen that respective sentence for the suspect.

We can even say that AI has provided us something which we have been desiring for a long time: trust on the judicial system.

We can expect AI to perform these actions:

• Oversight over justice structures;
• Monitoring of the process;
• Control of the judicial system.

3. Research documents and legal cases

AI-driven software enhances the proficiency of analysis of various documents for legal matters. Artificial Intelligence will review those documents and relate them as suitable to a respective case. When that particular document is considered as suitable, AI-driven algorithms will work to discover other documents which are highly pertinent.

4. Forecasting legal results

Artificial Intelligence algorithms have the potential of scrutinizing information to assist in making various predictions regarding the results of legal cases in comparison to the humans. Lawyers can ask the robots to forecast the future with some questions like “If we opt for a trial, what are the chances we can win?” or “Do I need to settle?” With the utilization of Artificial Intelligence, lawyers have the power to know about the outcomes of their cases before even appearing in the court.

5. Automating divorce

A proper divorce settlement can take almost a year or even more and will be highly expensive in various countries for respective families. Couples will outline their “optimum outcomes” and the Artificial Intelligence-powered machine will provide negotiation modules and every crucial decision which have to be made for the respective circumstances. In fact, legal professionals are also available to get AI to offer guidance where required.

The Final Word

The utilization of artificial intelligence (AI) as well as machine learning is providing positive transformations to the judiciary and legal sector. Still, the role of proficiency driven solutions provided by Artificial Intelligence in regards with legal sector is still emerging under the legal industry.

If we talk about the justice system specially, Artificial Intelligence possesses the capability to totally impact the way criminal and civil proceedings are witnessed and even decided. However, there exist several questions regarding its ultimate application, and the need to contemplate the right consequences of utilizing the technology. 

On the whole, AI is working towards restoring society’s faith in justice. Our Judicial System has dire need of an Artificial Intelligence-driven revolution.

The post AI as a Fair Judge: Revolution in the Justice System appeared first on Cyfuture Blog.

Building smart cities is presently the need of the hour as population is rising rapidly and more people are becoming highly urbanized. The primary step for any city towards being a “smart city” is gathering additional and useful data.

At the present, smart city plans are utilizing the applications of Artificial Intelligence which entail enhancements of traffic as well as parking management. Upcoming programs will consist of safe amalgamation of autonomous self-driving vehicles.

Our world is moving towards an AI-driven revolution, providing us the suitable tools as well as technologies and proficiency to fulfill all the challenges with some intelligent and quick-reactive applications.

Artificial Intelligence in India has also enabled a transforming turn to revamp its cities into Smart cities.

The Concept

So, basically what is the ultimate concept behind the “smart” cities project? There is no particular definition for it. It actually relies on the notions that how much developed a country is. Thus, in that context, the building blocks are:

• Infrastructure which facilitates in minimizing pollution and developing localities and enhancing each and every means of transportation especially for cyclists and pedestrians.
• Public-friendly governance that applies to a series of online services to avoid any kind of physical trips to several offices, and transparency with public.
• Fulfilling energy and various resource needs to allow the public to internationally apply for quality-driven jobs in the Smart City.

How we can say a city is Smart?

The Smart Cities Council facilitates three major values:

• Livability:Cities which offer neat, healthy conditions and no pollution as well as congestion. With the revolution of digital architecture, it makes various city services immediately and conveniently accessible at any instant of time and place.
• Workability:Cities which offer the required energy, connectivity and necessary services for competing internationally for some quality jobs.
• Sustainability:Cities which offer services without putting future generations at risk.

Welcome to the City of Artificial Intelligence

It is the convergence of various technology-driven advancements which is assisting in quickening the development as well as governance of such smart cities.

Drive Time and Traffic Management

The idea of traffic flow not just reduces the driving time but is even having an economic influence in the world. A traffic flow as well as traffic sensor system provided with Artificial Intelligence will eliminate the problem of traffic. But how? The AI-driven traffic cameras will gather real time data of vehicles and then transmit it to the respective control center that assembles the information and operates the signal timings to assure easy flow of traffic. Cab services such as Uber and Ola are even utilizing Artificial Intelligence-oriented algorithms to provide a suitable travelling experience to its users.

Smart Parking

Artificial Intelligence will enhance parking management within cities by offering data about the existence or inexistence of various parking sites. It may provide this by gathering data from the drivers’ mobile phones along with various sensors which are embedded inside the ground. When Artificial Intelligence has collected the concerned data, it will operate it for offering actionable glimpses and real-time based parking maps.

An instance of smart parking allowed by Artificial Intelligence is the utilization of ‘AI-driven model and predictive modeling by Redwood City in California’. This technology is assisting authorities to create highly effective parking by enabling sensors to recognize patterns of parking areas.

Waste Management

With Artificial Intelligence operating in amalgamation with the government, it has become somewhat simpler for various city authorities to check respective waste levels. Furthermore to this, Artificial Intelligence will assist in enhancing the process of waste management within various cities by offering some urban planners as well as authorities with functional and route optimization analytics.

Power Utilization

Various cities have decided to switch to the utilization of “smart grids” to provide power to the public. Smart Grid has a concept of a central management center to manage all the units and assure they work at greatest efficiency. This facilitates in decreasing the electrical consumption and leads to substantial economic benefit.

Chatbots

Artificial Intelligence based chatbots are the ultimate solution to various government information offices. Chatbots basically try to mimic human conversation over a chat. People may communicate with government representatives via that bot to get suitable information that will highly decrease response time.

Click to know more about Chatbots and their role in Artificial Intelligence.

Video surveillance

People must be aware of China using facial recognition as well as video surveillance and AI-driven techniques, where various police officers in Zhengzhou are utilizing some smart glasses to identify suspicious criminal suspects and arrest people with some fake IDs.

They are using a camera that is based on the technology of Artificial Intelligence which will source the person’s name along with contact information as well as contact authorities.

Governance

Presently, we might keep huge data across a network of servers which can be referred as “cloud” and even execute AI algorithms over the data without the need to download it. Such artificial intelligence based procedures will be utilized to map the utilization of land over time to create useful insights. For an example, by running an algorithm for various satellite images or city planning as well as development will be planned relying over dynamic data, sites prone to disasters such as flooding will be recognized accordingly. The data will consistently be observed to allow suitable governance and create a citizen-friendly world.

Final Words on Artificial Intelligence for Smart Cities

The upcoming vision for creating smarter cities belongs to several spheres like Self-driving cars, traffic control, and smart highways as well as parking garages. The entire system is aimed at functioning together to shift citizens to a high level of safety. Health and economic development also falls in the category for smart city projects. In the current era, various researchers are estimating using raw statistics about how citizens are travelling on various roads and paths, although in the coming future they might have the access to all the futuristic facilities they are seeking today from their cities.

The post AI in Smart Cities: Making All the Difference in the World appeared first on Cyfuture Blog.

Welcome to a brave new world of Artificial Intelligence and its implementation in Hollywood.

There’s no denial that the promise of artificial intelligence is taking over the world. The next time when you sit down on your couch to watch a sci-fi movie, the algorithm in that movie at the backend may be the work done by AI, or conducted by robots or offered by a combo robotic algorithm.

The realm of Hollywood has been buzzing since years regarding how robots are going to destroy humankind (as showed by the Terminator franchise), unite with us (as showed by Transcendence), or simply make our lives better (Her), the quickly enhancing technology of AI is promising to dramatically reframe how films are processed within the movie business.

From the huge machinery to the innovation of supercomputers with remarkable operating systems and then reaching to God-like robots, discoveries of this century have transformed our lives in an extravagant manner and we have just witnessed the beginning – there is much to see in the future. Entertainment business are seeing the age of robots, where they can have the access to additional data.

With AI, the artists who are working within the organization will spend lesser time stooped across a system scrupulously, working on ‘frame-by-frame’. They are going to tackle harder challenges instead.

AI and Hollywood taking over the World

• The robust technology of artificial intelligence was used as a tool in Hollywood for the movie “Avengers: Infinity War”. AI was utilized to sketch the actor’s face (Josh Brolin as Thanos) highly accurately so that they charted each and every wrinkle and interpreted such identical features on the character of Thanos.In fact, they utilized an Artificial Intelligence algorithm programmed over high-resolution scans of his face to capture his expressions and all the wrinkles, and utilized one more algorithm to quickly track the sketched face onto Thanos’ body before the graphics designers and animators started doing the final finishing touches.

Although the processes like face mapping using this technology might take weeks, several of the applications of Artificial Intelligence have evolved with time.

• Artificial Intelligence in India skyrocketed when they release a movie Robot and Robot 2.0, a Rajnikanth film, showing AI-driven tools in the movie.
• Last year, Kristen Stewart (yes, the Twilight girl) has directed a short duration film and sponsored an Adobe engineer to create a type of neural networkwhich edited their footage to appear as an impressionist painting which was made by Stewart.
• The famous animation company, Disney created robot acrobatswhich will be thrown into the air such that it will be later precisely edited with AI to appear like various performers as well as their stunt doubles.                                                                                
• Virtual actors have become a real thing now! These robotic human-like clones are usually utilized as extras as well as background characters within movies. An amazing example of this was witnessed in the movie “Superman Returns.” There was one scene which took place within a baseball stadium which had around 50,000 crowd. If we talk about the day of the shooting, there existed hardly 200 people on set to film this scene. The rest 49,800 actors present were basically the magic of virtual creation.  

Mentioned below are some of the fields where artificial intelligence is promising to transform the way we enjoy TV and movies:

• Artificial Intelligence can remove the requirement for programming guides as well as DVRs by forcing content to the accurate output device within the ideal time for usage. AI is aware of what viewers are going to watch and thus will line it up for them on their device for their indulgence. It can suggest latest content depending on what they have viewed in the past.
• Artificial Intelligence will interrupt advertising as it happens to be a real-time product placement as well as precision targeting and thus changing how the process of advertising is provided. In the coming future, it is highly possible with AI to provide precision-targeted advertising along with product placement within the content which customers are enjoying. Their favorite movie and even TV characters can drink their favorite shake and drive their dream vehicle.
• AI can combine user-generated content as well as content from various sources on its own to develop latest content which takes customization to a big level. In the coming future, it is possible for Artificial Intelligence to develop real-time and personalized content which are personalized solely for them. Their regular sports news will be tailored to feature their favorite teams, sports and even players.
• AI has the power to develop content over a hyper-personalized level and can make songs, various shows, and many more which don’t yet even exist. The endgame for Artificial Intelligence in the field of entertainment can be the development of completely latest content which is designed for a broad set of customers. AI will even develop remarkable music as well as poetry, and therefore, it won’t be much longer when the technology of AI combined with computer–based animation as well as visual effects can develop and provide real-time storylines.

Silver screen with a silver lining

If all those sci-fi movies have showed us something, it is that God-like robots are strictly not to be trusted!

All of us have witnessed artificial intelligence portrayed over the silver screen, however we hardly contemplate the influence it has behind those scenes. If we talk about reality, we are utilizing Artificial Intelligence to a high degree within Hollywood currently, and it is also casting a huger effect than people can imagine. Artificial Intelligence is doing miracles in Hollywood but it comes with a silver lining which has limitations for the future.

Artificial Intelligence Will Be Hollywood’s Next Big Star

When we talk about the magic of AI in cinemas, the future appears pretty good for the business for now. It is framing it to be a spectacular accelerator for the film-making procedure. Time-saving tasks and real-time customized versions are simply the beginning!

Talented virtual actors will be ready to play any role which Hollywood will ever imagine, without needing to sit in makeup studios for hours for some prosthetics or heavy makeup. These are transformations which enables actors to concentrate on their acting. Artificial Intelligence will be able to replicate the mannerisms as well as voice and thus will create history at every checkpoint.

We can expect that AI turns Hollywood into an enhanced source of entertainment for fans. Moreover, it is expected that someday Artificial Intelligence will even become the deciding factor (Decision-Making) within a movie which is being made, like Netflix’s Bandersnatch Black Mirror episode!

The post The New Millennium: AI Automates Hollywood appeared first on Cyfuture Blog.

Did you dream of robots knocking into the realms of the fashion world anytime sooner?

Well, if you did dream about robots, it did come true!

The Robots are arriving! Fashion meets technology! 

In the realm of Fashion, Artificial Intelligence possesses the potential to assist various brands as well as retailers with forecasted prediction and merchandising. This implies that customers will relish the advantages of enhanced product availability and appropriate deliveries along with the sheer presence of a 24/7 assistant, thanks to chatbot services.

So who do you go to when you are confused with what you should wear? Perhaps, your best friend? Or maybe, Instagram. Very soon, it is all going to change and nothing will remain the same.

In fact, it’s not too far off that you will try on an outfit and then turn to a camera asking, “Alexa, how am I looking? And just in a few seconds that tiny speaker will give you the data-oriented response!

 In the realm of Fashion, Artificial Intelligence possesses the potential to assist various brands as well as retailers with forecasted prediction and merchandising. This implies that customers will relish the advantages of enhanced product availability and appropriate deliveries.

Fashion unified with technology has been a trend for a long time now. Artificial Intelligence and fashion is an extraordinary pairing, as various fashion designers as well as retailers are utilizing technology to perceive what’s currently hot and trendy, and enhance the productiveness of manufacturing along with supply chains. The fashion industry is a huge business and it is reportedly at an estimation of $3 trillion worldwide according to FashionUnited, which is contributing about 2% of global Gross Domestic Product.

From apparel design to trend catching and to copyright security, artificial intelligence is currently poised to reprogram the fashion industry. The robots are not always the ‘bad’ guys. AI in fashion industry is the key to smart and durable fashion.

Artificial intelligence to Apparel: Reprogramming the Fashion Industry

The world of fashion even has always been a belligerent sector. For organizations who are working in design, Artificial Intelligence provides brand new possibilities within the fashion industry, although the commercial execution of AI in fashion design is highly difficult.

Therefore the question we shouldn’t ask is “Can AI really become my fashion designer?” The better and accurate question is “What kind of my fashion designer’s styles if enhanced through AI, will assist them to improve their work?” The fashion industry’s designers are utilizing AI to transform their designer skills and improve their product development strategy.

• A personal stylist

To provide the tech-combined-fashion enthusiast and the upcoming generation a customized AI fashion designer affair, the AI-generated fashion technology explores basically what a user opts for in real-time simply by investigating the product pictures the person has liked or added in their wishlist, thus users will rapidly find out things they love. The technology sends users updated price drop notifications for their wishlisted items. AI enables shoppers to shop in a way modern designers do, by enhancing the search capability and helping them scrutinize prices and avail the best offers.

• Prediction of fashion trends with AI

Provided the trend of change in fashion and design, sellers have to estimate the requirements, that’s tough because of the trendy nature of the fashion industry. The advent of AI in fashion industry has the potential to minimize predicting errors by about 50%, as reported by Business of Fashion. By scrutinizing pictures, copying famous styles and utilizing data, all these algorithms are ready to utilize this information to construct entirely new designs.

• AI improves the clothing buying experience

AI-driven shopping applications enable users to click a screenshot of apparels, recognize shopping accessories in the image, and discover similar outfits and view similar product styles as well as looks. Fashion industries are even utilizing AI-driven chatbots that allow 24/7 involvement with users to assist with a series of choices.

• AI contributing to manufacturing and transport

When apparel is designed and prepared, artificial intelligence equipment is used to make the complete manufacturing procedure highly effective. AI can detect faults in fabric and offer quality assurance to assure that the actual design colors will suit the colors. Machine learning in fashion along with various technologies are utilized to facilitate in speeding up deliveries by enhancing routes, minimizing shipping prices and the time in transit.

After reaching the destination, Artificial Intelligence technologies are used by customs as well as border enforcement to spot fakes.

Robot meets the Fashion Designer

So do robots also dream about Prada? Or Tommy Hilfiger?  The Fashion Institute of Technology has researched about how it’s developing the next generation of AI fashion designers for the advancements in technology. From the 3D avatars to the closet advisers, the application of artificial intelligence is framing the way we will get dressed. But, think!

Can there really exist some algorithm for fashion?

Overnight, almost, artificial intelligence has infused the fashion industry. AI is being utilized to operate loads of images to assist designs, or to predict various trends. It’s really outstanding that how rapidly the designers adapt, and how rapidly they discover ways to revolutionize the designs to achieve remarkable results.

• Tommy Hilfiger’s recent collaboration with IBM as well as FIT is a big move towards fashion world which wires Artificial Intelligence technology into the design structure, a complete makeover of AI in fashion industry. It blends artificial intelligence into a design procedure and utilizes IBM Research AI-driven tools to figure out real-time fashion industry trends, resurfacing themes in colors, patterns, styles and silhouettes, customer expectation with every Tommy Hilfiger product along with a runway image.
• Myntra: Artificial Intelligence in India entered in the year of 2017, when the Flipkart owned Fashion-based e-commerce industry introduced a set of machine designed t-shirts known as Moda Rapido, utilizing its in-house Artificial Intelligence platform, RAPID. It is basically a robot character named Artie, created to represent ‘Moda Rapido’.
• Amazon, being the reigning monarch of the world of e-commerce, is currently at the forefront of ‘fashion-forward Artificial Intelligence’. Amazon has created an AI fashion designer that utilizes machine learning to notice and track fashion trends. The concerned algorithm is provided the images of the style of fashion and develops latest items within the same design.

The Road Ahead

Well, ten years from now, nobody knows what AI will bring into the world! In the upcoming two years it will be incredible. Your clothes will be reprogrammed by AI and then will be no room for wasting and replacing them.

The fashion industry, similar to various other industries, needs several hours of hard work, time and dedication to make a difference and create successful business ventures. The apparel industry is now seeking assistance of artificial intelligence to facilitate them with their business and sparkle easily.

Furthermore, many brands are using conversational interfaces like Alexa, Google Home, Siri, Cortana, and Bixby to help customers with their purchasing decisions. Such interfaces can prompt users with a series of questions and over time, learn their opinions and fashion senses to suggest related or add-on items. Also, fashion companies are using chatbots for 24/7 customer engagement. 

With all those use cases, fashion businesses might have to reconsider their priorities for Artificial Intelligence, concentrating on the fields with the highest ability to add value.

Fashion with Technology is a strategic challenge. Research suggests that Artificial Intelligence will replace about 30 percent of the work done by fashion designers, so how are industries going to handle their workforces and provide new tools without estranging designers?

The secret to harnessing the quality which has driven success in the fashion industry for all this time is: collaboration, only this time, it’ll be with AI!

The post The Future is here: AI in Fashion Design takes the central stage appeared first on Cyfuture Blog.

Can machines be allowed to take decisions about life and death?

The advancement of technology has now become some kind of a rat race. In this competition to lead the evolving technological race on the futuristic warfare battleground, the concept of artificial intelligence (AI) is quickly becoming the core of worldwide power plays.

It has been noticed across several countries that the growth in autonomous weapons systems (AWS) is advancing quickly, and this rise in the technology of artificial intelligence has become an extremely important development. It introduces complicated security-driven challenges not just for the nation but also for humanity.

The concept of machine intelligence or an intelligent machine or the capability to carry out any warfare challenge without any kind of human intelligence and intervention, utilizing solely the connection of its implanted sensors, algorithms  and computer programming within the human ecosystem, has now become a reality which can’t be overlooked anymore.

One of the major promises of Artificial Intelligence within the military sector which seems to ensure its acceptance is its extensive applicability. AI will be utilized to enhance productiveness and proficiency and not only to combat challenges. AI will enhance supply lines, improve the training of newly hired soldiers and raise the level of intelligence processing.

• AI – Future of Defense

From a military standpoint, there are various reasons why there exists huge interest in autonomous weapons.

• First one is Speed: Warfare has become rapidly paced. Robots as well as machines are usually faster at making quick decisions in comparison to humans, specifically when a high amount of information is required to be considered.
• The second one is stealth. At the present time, a system without human intelligence like drones requires communication as well as command links such that the pilot can guide them. The issue is that such links are comparatively simple to detect. If the army has to do a sneak attack without getting noticed, autonomous weapons will do that in such a way which conventional weapons might not.
• The third one why industries and armed forces are investing in autonomy and artificial intelligence is because it enables new military capabilities, especially swarms. There exists not a single way where a human can control any single drone in such kind of swarms. The drones are required to communicate with each other and even respond to each other. Therefore they require sensors and they require decision-making based algorithms – and thus this is the ‘AI and autonomy’ stage.
• AI Worldwide for Warfare

As countries independently and collaboratively speed up their efforts to achieve a competitive benefit within science and technology, the weaponization of Artificial Intelligence is inescapable. AI Weaponization is not just limited to warfare but cybersecurity as well.

Artificial Intelligence in India is still evolving and India is also planning to invest in robotic armed forces in the future. Several defense forces from countries worldwide are utilizing the application of Artificial Intelligence into weapons and various systems utilized over land, airborne, naval, and also space platforms.

• Russia

Russia is reported to be working on AI-driven missiles which can decide to switch targets mid-flight. A survey by state Russian media has claimed that potential military usage of Artificial Intelligence rose in the year of 2017. Russia has even been testing numerous autonomous as well as semi-autonomous combat systems, like ‘Kalashnikov’s “neural net” combat module’, with a camera, machine gun, and Artificial Intelligence where it can take its own targeting decisions without human intelligence.

• China

Chinese military forces have reported that their objective is to consolidate commercial Artificial Intelligence technology to limit the bridge between the Chinese military and worldwide higher powers. China generally sources confidential evolving technology like drones along with artificial intelligence from private newly-established enterprises.

China’s recent reports in Artificial Intelligence that entail autonomous cooperative behavior amongst various distributed robots are the talk of the town in the media industry.

• USA

United States of America has numerous military-based AI combat programs, like the Sea Hunter autonomous warship that was created to function for expanded periods at sea without any human intervention of a crew member.

• Germany

Germany utilizes the Patriot and MANTIS air-defense systems. Technically, they are operated to the degree such that they target and shoot down all enemy missiles. In reality, there exists not a single person who sits there or presses those buttons for destroying any kind of incoming missile. 

• United Kingdom

In the year 2015, the UK government has opposed the ban on those autonomous weapons, reporting that “international humanitarian law offers required regulation for this area”, however all the weapons adopted by UK armed forces are going to be “under human oversight and control”.

• Israel

Israel’s Harpy anti-radar “fire and forget” drone is constructed to be launch-able by various ground troops, and it flies automatically to discover and destroy the targeted radar which matches pre-defined criteria.

It will discover, track, and even destroy a target in motion with a range of 4 km. This particular technology will function without any human intelligence. Israel’s Iron Dome air-defense system can detect and even destroy any incoming rockets automatically.

• South Korea

A South Korean official claimed that their weapons do not sleep, the way humans do. They will see in the dark as well, which humans cannot. AI technology hence crosses the gaps in human capability. South Korea utilizes autonomous weapons to detect movements near the North Korean border.

• Bringing it All Together

Make no mistake, the whole world is in the middle of a heavily critical revolution, a drift towards the age of artificial intelligence. And while the progress from every year to year might look like small, when we will look back ten or twenty years from now with the benefit of hindsight, all these progressive moments will be a milestone regarding how our futuristic world has evolved.

Utilizing Artificial Intelligence in various systems regarding these platforms, AI has contributed in the advancement of productive warfare systems that are less reliant on human input. It has even led to enhanced synergy and improved performance of warfare systems which need low maintenance. Artificial Intelligence is even anticipated to empower autonomous and advanced weapons to perform synergetic attacks.

How do you feel about weaponized Artificial Intelligence? Drop your thoughts below!

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