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‘Artificial Intelligence yet to make its mark in India’

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By Nishant Arora

From taking care of businesses to fulfilling personal needs, Artificial Intelligence (AI) is very much a part of the daily lives of people across the globe with global technological giants judiciously utilizing its benefits. However, it has yet to make a mark in India.

When Amit Singhal, an India-born techie who joined Google nearly 15 years ago practically reigning at Google Search since then, decided to quit this month and hand the baton over to the head of the technology giant’s artificial intelligence (AI) chief, the message was clear: AI was the future that had arrived.

Amid all the brouhaha over machines acquiring near-human intelligence, is India ready to embrace the change?

“For the Indian market, we might see some serious AI in action around 2020, and by 2025, there should be considerable advancements,” Faisal Kawoosa, lead analyst, Telecoms Practice, at market research and consulting firm CyberMedia Research (CMR), told reporters.

According to Thomas George, SBU Head of CMR, there were several studies projecting AI becoming mainstream within five years. “However, this appears possible only in the high-end segments in the advanced and developed markets and not in India,” he added.

According to a latest forecast by the research firm MarketsandMarkets, the AI market is estimated to reach $5 billion by 2020 globally. “The increasing use of machine learning technology in the advertising and media and finance sectors, and the growing demand for AI across diversified application areas are driving the growth of the AI market,” the findings showed.

In India, the top-notch technology companies are yet to make a substantial progress in the business of AI.

While Tata Consultancy Services (TCS) has Ignio — a neural science-based automation platform that optimises IT operations, Infosys has recently launched AiKiDo project that will focus on AI, knowledge-based IT and design thinking to help enterprise clients.

Wipro, on the other hand, has an AI platform “Holmes”- a rich set of cognitive computing services for the development of digital virtual agents, cognitive process automation, visual computing applications, robotics and drones. To fulfill its AI dreams, Wipro recently acquired a strategic stake in Vicarious, an AI company based in San Francisco, California.

But this does not seem enough when it comes to the practical application of AI in the country on a large scale. “Although industry circles have been talking about AI for more than a decade, it is yet to make its mark in India,” George said.

Globally, Microsoft, Google and Facebook are leading the way when it comes to incorporating AI into the workplace — transforming the experience of “machine learning” via “deep neural networks” of hardware and software that nearly approximate neurons in the human brain.

“Machine intelligence is crucial to our search vision of building a truly intelligent assistant that connects our users to information and actions in the real world,” Google said in a statement recently.

John Giannandrea, who led Google’s machine learning efforts and is going to replace Singhal, is applying the technology to products such as image recognition for Google Photos search and the smart reply for Google Inbox.

In a cheer for the AI community, Google’s AlphaGo, a program of its artificial intelligence arm DeepMind, recently defeated the reigning human champion of Go – a complex Chinese board game that is considered the “quintessential unsolved problem” for machine intelligence.

At Facebook, its CEO Mark Zuckerberg wants to focus on AI and is even thinking of a simple AI to run his home and workplace like the famous Jarvis character in the Hollywood movie “Iron Man”.

According to Chris Bishop, managing director at Microsoft Research, 2016 will be the year of AI. “During 2016, we will see the emergence of new silicon architectures that are tuned to the intensive workloads of machine learning, offering a major performance boost over GPUs (Graphics Processing Units),” he posted.

In his first “Ask Me Anything” session on the social networking website Reddit last year, famed theoretical physicist Stephen Hawking said that we evolved to be smarter than our ape-like ancestors and scientist Albert Einstein was smarter than his parents.

“If they become that clever, then we may face an ‘intelligence explosion’, as machines develop the ability to engineer themselves to be far more intelligent,” he said in reply to a question on the discussion board.

That might eventually result in “machines whose intelligence exceeds ours by more than ours exceeds that of snails”, Hawking answered.

That may be a daunting task for people to absorb. But perhaps human intelligence will evolve to do just that. (IANS) (Image source: digitaltrends.com)

Next Story

Google Claims Eye Doctors Can Turn More Effective Using AI

Without assistance, general ophthalmologists are significantly less accurate than the algorithm, while retina specialists are not significantly more accurate than the algorithm. 

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The research team at Google AI believes that some of these pitfalls may be avoided if the computer can "explain" its predictions. Pixabay

As Artificial Intelligence (AI) continues to evolve, diagnosing diseases has become faster with greater accuracy. A new study from the Google AI research group shows that physicians and algorithms working together are more effective than either one alone.

In the study, to be published in the journal Ophthalmology, the researchers created a system which not only improved the ophthalmologists’ diagnostic accuracy but also improved the algorithm’s accuracy.

The study expands on previous work from Google AI showing that its algorithm works roughly as well as human experts in screening patients for a common diabetic eye disease called diabetic retinopathy.

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To test this theory, ten ophthalmologists (four general ophthalmologists, one trained outside the US, four retina specialists, and one retina specialist in training) were asked to read images with and without algorithm assistance. Pixabay

“What we found is that AI can do more than simply automate eye screening, it can assist physicians in more accurately diagnosing diabetic retinopathy. AI and physicians working together can be more accurate than either one alone,” said lead researcher Rory Sayres.

Recent advances in AI promise to improve access to diabetic retinopathy screening and to improve its accuracy. But it’s less clear how AI will work in the physician’s office or other clinical settings, the team said.

According to the team, previous attempts to use computer-assisted diagnosis shows that some screeners rely on the machine too much, which leads to repeating the machine’s errors, or under-rely on it and ignore accurate predictions.

The research team at Google AI believes that some of these pitfalls may be avoided if the computer can “explain” its predictions.

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Recent advances in AI promise to improve access to diabetic retinopathy screening and to improve its accuracy. But it’s less clear how AI will work in the physician’s office or other clinical settings, the team said. Pixabay

To test this theory, ten ophthalmologists (four general ophthalmologists, one trained outside the US, four retina specialists, and one retina specialist in training) were asked to read images with and without algorithm assistance.

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Without assistance, general ophthalmologists are significantly less accurate than the algorithm, while retina specialists are not significantly more accurate than the algorithm.

With assistance, general ophthalmologists match but do not exceed the model’s accuracy, while retina specialists start to exceed the model’s performance. (IANS)