PREDICTING THE FUTURE ISN’T MAGIC, IT’S ARTIFICIAL INTELLIGENCE | PART- 2

Artificial Intelligence technologies

The demand for artificial intelligence (AI) technologies is booming. Away from the hype and the increased media attention, the various startups and the internet titans rushing to acquire them, there is a significant increase in purchase and adoption by enterprises. A Narrative Science survey observed last year that 38% of enterprises are already using AI, growing to 62% and worth $ 7.35 billion by 2018. Forrester Research prognosticated a greater than 300% increase in investment in artificial intelligence in 2017 related with 2016. IDC calculated that the AI market will grow from $8 billion in 2016 to more than $47 billion in 2020. The market is awaited to catapult to $ 89. 84 billion by 2025.

Who is called Godfather of AI & why they are awarded?

Computers have grown so lively during the past 20 years that people don’t think twice about talking with digital partners like Alexa and Siri or seeing their friends automatically marked in Facebook pictures. But making those quantum leaps from sci-fi to reality required hard work from computer scientists like Yoshua Bengio, Geoffrey Hinton and Yann LeCun.

The 2018 Turing Award, known as the “Nobel Prize of computing,” has been awarded to a trio of researchers who laid the foundations for the current blast in artificial intelligence. Yoshua Bengio, Geoffrey Hinton, and Yann LeCun,  seldom called as the ‘godfathers of AI’ have been acknowledged with the $1 million yearly prizes for their work advancing the AI subfield of deep knowledge. The techniques the trio developed in the 1990s and 2000s facilitated huge breakthroughs in tasks like computer vision and speech recognition. Their work underpins the current generation of AI technologies, from self-driving cars to computerized medical diagnoses.

All three have since taken up leading places in the AI research ecosystem, balancing academia and industry. Hinton cleaves his time between Google and the University of Toronto; Bengio is a pedagogue at the University of Montreal and began an AI company called Element AI; while LeCun is Facebook’s director AI scientist and a professor at NYU. The trio’s achievements are especially notable as they kept the belief in artificial intelligence at a time when the technology’s possibilities were horrible.

I is well-known for its series of boom and bust, and the problem of hype is as old as the field itself. When research loses to meet elevated expectations it creates a freeze in funding and interest known as an “AI winter.” It was at the rear end of one such winter in the late 1980s that Bengio, Hinton, and LeCun began swapping ideas and working on related problems. These involved neural networks — computer programs made from combined digital neurons that have become a key building block for modern AI.

There was a dismal period between the mid-90s and early-to-mid-2000s when it was impracticable to publish research on neural nets because the population had lost interest in it. During this period, the three-pointed that neural nets could achieve strong results on chores like character recognition.

But the rest of the research world did not pay consideration until 2012 when a team led by Hinton took on a well-known AI benchmark called ImageNet. Researchers had so far only achieved incremental developments on this object recognition test, but Hinton and his students concluded the next-best algorithm by more than 40 percent with the help of neural networks.

Do Artificial Intelligence & Machine Learning work together?

Artificial Intelligence and  Machine Learning are now more than just buzzwords. AI & ML are increasingly becoming combined with our everyday services, which we may not realize. While individuals get the windfall benefits of AI and ML by means of better playlist suggestions, local offers, location and context- relevant content access.

Optimizing facilities in real-time

Automation in buildings is not a recent phenomenon. For years, every wave of technological advancement has been integrated into our buildings space to achieve better energy savings, increase the efficiency of personnel, and have a centralized control room for large facilities. The aim has always been in finding ways to systemically control buildings and make them as efficient and sustainable as possible.

The consumer awareness and demand for smart offices and living spaces have also been driving the adoption of AI and ML in facilities management. While a vast majority of today’s millennial workforce want to be in smart offices in the next 5 years, buildings are reeling in inefficiencies, building a strong case for technology led facilities management.

A modern and holistic facilities optimization solution not only takes care of end-to-end building operations and sustainability but also ensure the inhabitant’s comfort. This enables quicker returns on investment for commercial real-estate owners as well as reduce the impact on the environment at the same time.

How can AI adoption benefit the educational system

Using this advanced technology, they are not only able to bring education to the fingertips of every child, but also personalize every child’s learning experience. The personalization of education plays a key role in a diverse country like India because it solves a problem that cannot be solved by traditional means. E-learning companies harness the power of Artificial Intelligence.

E-learning apps recognize and acknowledge the fact that every child has unique learning needs. Indian students face some of the most competitive scenarios in the world, especially when it comes to engineering and medical entrance exams. However, most schools don’t provide any additional support to students when it comes to cracking these exams.

AI can solve this problem by making learning personalized for every child. They first strengthen the basic concepts and then ease them into the complex ones. Using AI, the education industry can ensure that every child learns in a way that’s best for them, creating a better learning experience for each of them.

(To be continued)….