Aradhye Ackshatt – Cyfuture Blog https://cyfuture.com/blog Thu, 28 Apr 2022 09:32:25 +0000 en-US hourly 1 Internet of Things – A Boon, or a Bane for the Future? https://cyfuture.com/blog/internet-of-things-a-boon-or-a-bane-for-the-future/ https://cyfuture.com/blog/internet-of-things-a-boon-or-a-bane-for-the-future/#respond Wed, 06 Mar 2019 05:50:31 +0000 https://cyfuture.com/blog/?p=531 Waves surround us, all the time, no matter where on earth we may be. Do not confuse these waves with those of the seas and oceans – these are universal: radiation in the form of electromagnetic waves, due to which your smartphone can show you everything from the remotest parts of the earth to the […]

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Waves surround us, all the time, no matter where on earth we may be. Do not confuse these waves with those of the seas and oceans – these are universal: radiation in the form of electromagnetic waves, due to which your smartphone can show you everything from the remotest parts of the earth to the latest viral memes.

Manipulating electromagnetic waves to carry out our bidding became possible due to the pioneering work of James Clerk Maxwell. Nobel winner and theoretical physicist par excellence Einstein said of his work as being the “most profound and the most fruitful that physics has experienced since the time of Newton”.

Now that we have built our digital world upon the solid foundations laid down by these giants of technology, the most innovative uses for electronics can be developed and make a “smarter planet”, as IBM envisions.

Science Fiction is Fast Becoming Reality

Things that were hitherto unheard of are coming up every other day. Already, our lives are technology-dependent to the point that we feel incapacitated when we don’t have our phones with us, or if the internet connection is spotty. If only Tesla or Edison could have seen the bewildering functions their work with electromagnetism are performing today!

One of the most advanced uses of applied technological science is in the real-world proliferation of inter-device communication and customized data analysis. Using micro devices and nearly instant manipulation of data, tech companies like Apple and Google can deliver pinpoint user services through their proprietary Artificially Intelligent query response management systems, Siri and Assistant.

Connecting other devices into the user’s existing electronic periphery has brought about a digital revolution in the consumer durables industry as well. Smart TVs, fridges, kitchen appliances like microwave ovens, lighting and home security systems are becoming ubiquitous in the developed world, and a huge potential lies for these devices in the upcoming Internet of Things sector.

IoT in Action: 5 Areas in Which IoT is Proving Its Worth

  1. Air quality & pollution monitoring
    • As urban agglomerations grow, the air quality worsens. Knowing the patterns and contributing factors is half the battle won, and detection systems based on IoT are helpful in developing action plans to tackle the threats posed by pollution.
  2. Smart CCTV and security
    • Having full control over the security and access to one’s possessions is of paramount importance, which is why IoT is great at always keeping a vigilant eye on areas in and around them.
  3. Home interior automation
    • Energy efficiency can be increased to excellent levels by using IoT, thus bringing power bills down and adding a dash of futurism to one’s home. Some applications are already making real lives reflect Hollywood’s sci-fi movies!
  4. Industrial environment management
    • Manufacturing and other large scale industries can save a lot more manpower and dedicate resources into improving technology by letting IoT take over the processes which can be automated.
  5. Differently-abled communication
    • The world can be made a better place for everyone by aiding people with disabilities through technology. Haptic feedback and tactile interactivity can be combined with IoT devices to deliver rich experiences to all of humanity, with no exceptions.

Devices that Obey without Thinking versus Decision Making Systems

Automation is nothing new, but using it in day-to-day life is the area now being explored by all corporations with the wherewithal to invest in futuristic tech. The usual way is to program the devices to follow certain algorithms and improve efficiency in repetitive or uncomplicated tasks.

The advances in AI have enabled software development to focus on using the user’s real-time factors to take pre-emptive decisions, sometimes without even confirming with the user. This brings up immense data privacy issues, especially for paranoid people. The sharing of data over unsecure channels of communication does open up security vulnerabilities, and malicious programmers like to exploit such loopholes for nefarious purposes.

Regardless of privacy concerns, because of the overall advantages perceived in interconnecting large-scale systems as well as individual-level services, there is a slew of Internet of Things projects already fully functional as well as in the pipeline of various tech behemoths. Nations are also jumping on the IoT bandwagon, with India unveiling a Smart Cities Mission way back in 2015.

Internet of Things, Deconstructed

Nowadays, deconstruction is one of those trends that may prove to be a short-lived fad or the start of something momentous, like the original deconstruction of literature by Jacques Derrida. By analyzing the components of a particular thing, we can make out more details about its inner workings than by observing it as a whole. Through this process, it may come to light that the sum of the parts is greater than the whole, or vice versa. In either case, we learn about the thing under scrutiny, thus satisfying our inherent scientific curiosity.

As far as Internet of Things goes, its components are completely dependent on the context in which it is being applied. To proceed with its deconstruction, let’s take up a relatively easy to understand scenario which any moderately self-sufficient modern human would relate to without feeling out of place.

A person wakes up in the morning when his alarm sounds. Nothing extraordinary there – knocker-uppers were doing that in the first half of the twentieth century. But voila! The coffee is ready, breakfast is served according to the preferences selected that morning, or by default menus if the person wants to be surprised, and the news, or music, or the film that person was watching last night but slept off in the middle of is on the screen – waiting for the person to begin their day just as they like it.

Ready to leave for work or head out for some chores? The Internet of Things can be commanded by voice, thanks to natural language processing. The person need only utter the words “Leaving home now”, or even simply “Going out!” and the lights will be dimmed, all doors will be double-checked, any idle appliances turned off, and the garage door opened. As the person steps into their IoT enabled car or other energy-efficient vehicle, it’ll await the destination and be on its way. Managing routes and speed according to real-time traffic and weather conditions, the vehicle will communicate seamlessly with a bevy of other services with the prime purpose of getting the person to their destination safely.

Work done and chores taken care of, the person returns home to find that the family spent an optimal day thanks to the all-pervasiveness of the epitome of electromagnetic technology – the Internet of Things. Such days are not as far away as one may be led to believe, and we at Cyfuture can’t wait to lend a helping hand to visionary developments in all fields of futuristic technology!

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AI: Can A Machine Ever Be Human, Convincingly?  https://cyfuture.com/blog/ai-can-a-machine-ever-be-human-convincingly/ https://cyfuture.com/blog/ai-can-a-machine-ever-be-human-convincingly/#comments Sat, 16 Feb 2019 11:29:10 +0000 https://cyfuture.com/blog/?p=67 The inclusion of ‘learning abilities’ – mostly thought unique to humans and very few other evolved primates – defines artificial intelligence to a large extent. Faced with unfamiliar situations, how the program deals with the problems and attempts to solve them is key to identifying a stretch of software code as ‘artificially intelligent’. Artificial Intelligence […]

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The inclusion of ‘learning abilities’ – mostly thought unique to humans and very few other evolved primates – defines artificial intelligence to a large extent. Faced with unfamiliar situations, how the program deals with the problems and attempts to solve them is key to identifying a stretch of software code as ‘artificially intelligent’.

Artificial Intelligence has made the leap from science fiction to real life in a short matter of time. It was initially envisioned as a panacea for the intricate but repetitive processes that aided scientific research and technological advancement – a role it has fulfilled and, in many instances, surpassed.

Training a program by making it understand a variety of sensory inputs, whether in the form of digital or analog data, does not mean that program has ‘intelligence’. The result of this factor being used to decide the intelligence of software leads to various technologies that were quite revolutionary at their inception now being classified as routine programs, because their previously groundbreaking tasks have become rudimentary in today’s advanced day and age.

A Brief History of AI

Automation has been a pursuit of humanity since classical Greek antiquity. The word ‘automaton’ itself is used by Homer to refer to machines acting according to their own will. There is ample evidence in literature and history that shows how we have striven to recreate machines that not only look like us, but walk, talk and act like us. The more successful efforts towards such aims are said to be in the ‘uncanny valley’, an uncomfortable state which results from the almost, but not entirely, accurate depiction of human beings by doppelganger machines.

Interesting Article to Read : Chatbots & Live Chat | A Sprint to Sublime Customer Service

Alan Turing was instrumental in making artificial intelligence a practical field. Approaching AI in purely mathematical binary terms, digitization was used as the platform to erect expert systems, which use inference engines and knowledge bases to make decisions. Moore’s Law, which predicted computing power rising up while component sizes reduced, still remains applicable, albeit to a slightly lesser extent.

Now, with data surging forth from all sorts of sources right from our handheld devices to astronomical observations and literal rocket science, machines that have been developed specifically to ‘think like a human’ are rapidly being deployed in a variety of fields, form bioengineering to synthetic medicine. Nearer our daily lives, search engines [one (followed by a hundred zeros) in particular, but all of them in general] and flagship smartphones use all the learnings gleaned from AI to deliver ‘personalized experiences’ right into our hands!

We Are Already AI-ed, Daily!

In 2014, Stephen Hawking gave a subliminal quote on AI: “It [AI] would take off on its own and redesign itself at an ever increasing rate. Humans, who are limited by slow biological evolution, couldn’t compete and would be superseded.

While such a day still seems far off as of now, the quest for replicating human thought patterns and response heuristics continues unabated. Programmers in diverse fields toil away every day at their projects, attempting to reproduce the thought processes that make up the human mind. They have to take many factors into consideration, not the least of which is the ethical complication in ‘fooling’ a human into thinking they are conversing – or, at basic levels, interacting – with a machine.

We are already carrying out a great deal of everyday interactions with artificial intelligence. The level to which it affects the technology in the palm of our hands is difficult to identify at the user level. To delve deeper, we have to break down the integral components of interactions amongst humans and machines – a task easier said than done.

The question I asked at the beginning is hard to answer, because it is rooted in the future. At Cyfuture, we are accustomed to asking questions that require a certain kind of ‘never giving in’ mindset to answer – for laterally solving problems or creating innovative solutions to increase the effectiveness of existing legacy systems, as well as drive businesses better.

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