From healthcare to agriculture to energy, AI has the power to radically transform the biggest industries on earth. Speaking on Tuesday at the EmTechDIGITAL 2016 conference at the St. Regis Hotel in San Francisco, a panel of business leaders explored how, and why, AI can make an impact. The panel included Anthony Goldbloom, co-founder and CEO of Kaggle; Naveen Rao, CEO of Nervana; Tye Brady, chief technologist of Amazon Robotics; Erik Andrejko, vice president of science for The Climate Corporation; and Colin Parris, vice president of GE Software Research--a mix of startups as well as business giants. Here's how each company sees AI changing each industry. Goldbloom is head of "The world's largest community of data scientists"--to be exact, there are more than 550,00 data scientists involved, which is a quarter of the world's total population.

We've seen a big rise of apps and bots, and a lot of them have something in common besides being based on artificial intelligence and machine learning: they are written for English-speaking users.

Google DeepDream didn't just create a bunch of trippy, fascinating, slightly schizophrenic images -- it also inspired an entirely new research project within Google, and it's called Google Magenta. Starting the first of June, a small team of Google researchers will use the company's TensorFlow AI platform to develop an AI artist capable of creating its own visual art. The resulting artwork could eventually be made public through an app where anyone can browse creations as imagined by machines. Google Magenta was recently announced by researcher Douglas Eck, one of the individuals taking part in the program. Speaking at the music and tech festival Moogfest, Eck said that DeepDream directly inspired Magenta, which will also apparently be used to create some music, though details on that are vague.

Google Director of Research and renowned artificial intelligence (AI) expert Peter Norvig, presented an entirely different side of AI and machine learning at the EmTech Digital conference. He compared traditional software programming to machine learning to highlight the new challenges of debugging and verifying systems programmed with machine learning do what they are designed to do. Traditional software programming uses Boolean-based logic that can be tested to confirm that the software does what it was designed to do, using tools and methodologies established over the last few decades. In contrast, machine learning is a black box programming method in which computers program themselves with data, producing probabilistic logic that diverges from the true-and-false tests used to verify systems programmed with traditional Boolean logic methods. "The problem here is the methodology for scaling this [machine learning verification] up to a whole industry is still in progress. We have been doing this for a while; we have some clues for how to make it work, but we don't have the decades of experience that we have in developing and verifying regular software."

A lot of tech-smart people think artificial intelligence (AI) might pose a threat to the existence of humankind. Others think it's not something to worry about, or not for a very long time, if ever. Operating on the reasonable assumption that what happens tomorrow depends on what we do today, the White House Office of Science and Technology Policy is holding public workshops in four cities to look at the state of AI and to look ahead at potential benefits and problems. What I heard is that what happens with AI is about us -- how we design it, manage it and use it. We have to be accountable.

So we read about Artificial Intelligence as a whole. We came across the much hyped and even more researched field of Natural Language Processing (referred as NLP from hereon) and the importance it plays in this digital era's ultimate dream of automation. But what are the possible ways in which this working of NLP can be actually put to use? A question we are sure a lot of you must have across with. 'How does it help any of us'?

In the 1990s, fashion's relationship with robots was the stuff of fantasy. On the runway of Alexander McQueen's imaginative Spring/Summer 1999 show, two robotic arms spray-painted a white dress worn by Shalom Harlow. Today, the industry's relationship with automation is much more practical. In the distribution centres of e-commerce giants like the Yoox Net-a-Porter Group and Amazon (which, in 2012, paid 775 million to acquire Kiva Systems, a manufacturer of robotic fulfilment systems used by Gap, Gilt Groupe and Saks 5th Avenue) software-controlled robots routinely navigate giant warehouses, picking and transporting inventory faster and more accurately than humans, enabling services like same-day delivery. "Automated storage and retrieval systems provide high storage density as well as inventory accuracy and management, yet require a smaller footprint," explains Steve Crease, director of operations at Yoox Net-a-Porter Group, which uses ASRS to deliver its "key service level" of same-day delivery.

All chapters are available to download as of Sept 2015.

Artificial Intelligence had already taken over defense targeting decisions on Aegis missile warships of the US Navy, according to US military officials. "Advances in AI will lead us to a new era of human-machine cooperation and combat teaming where tactical acuity of a computer will help man make more informed decisions," Harris stated. The United States would never allow AI systems to have the power to fire nuclear missiles in any offensive capacity, Deputy Defense Secretary Bob Work told a conference at the Atlantic Council on March 4. But Work also warned that the US armed forces could not allow other countries to develop Artificial Intelligence with that offensive capability without matching them.

HYDERABAD: After being ranked among the best universities in the country, the University of Hyderabad (UoH) here on Wednesday was placed among the most productive organisations involved in artificial intelligence research in India by a UK-based journal. According to the study published in Science & Technology Libraries Journal, United Kingdom, UoH has been ranked 7th among 160 organisations, as most-productive organisation involved in artificial intelligence research in India. The top 20 most productive organisations involved in artificial intelligence research in India published 53 or more papers each and contributed 2,219 papers. The average citation per paper achieved by the total papers of these 20 organisations was 4.68, and eight organisations achieved a higher average citation per paper ratio than the group average. The institutions listed include Indian Institute of Technology (IIT), Madras (10.21);