Today's leading minds talk AI with host Byron Reese Listen to this episode or read the full transcript at www.VoicesinAI.com Byron Reese: This is Voices in AI, brought to you by Gigaom and I am Byron Reese. Today, our guest is Hilary Mason. She is the GM of Machine Learning at Cloudera, and the founder and CEO of Fast Forward Labs, and the Data Scientist in residence at Accel Partners, and a member of the Board of Directors at the Anita Borg Institute for Women in Technology, and the co-founder of hackNY.org. That's as far down as it would let me read in her LinkedIn profile, but I've a feeling if I'd clicked that'More' button, there would be a lot more.

Construction and the methods we use are crucial to our success in modern architecture. We build houses and massive structures using our computers and we harness the that processing power to create new solutions. But artificial intelligence in construction takes things to a whole new level! It's a tool that can help us push the boundaries further and it can do a lot to the industry as a whole. So then why haven't we seen more innovation?

Having first appeared on the scene of machine learning in 1986 and artificial neural networks in 2000, the study of deep learning continues to explode with new research, advanced techniques, higher benchmarks, and broader applications. Keeping pace in such an active field with an average of 30 new deep learning papers uploaded to arXiv per day over the previous month is daunting, to say the least. While there are many key deep learning scientists and engineers active today, the following list of 12 researchers and innovators in the field are among the most important – and they so happen to actively share on social media, making their progress and insights much easier to keep up with. So, start paying attention to these 12 top deep learning individuals, and be prepared to expand your understanding and awareness of the incredible advancements deep learning is bringing to science, industry, and society. While it in no way correlates to everyone's contribution to the field, the list is sorted by the number of Twitter followers so you can see who appears to have the most reach today.

TOKYO, Sep 20, 2019 - (JCN Newswire) - Honda Foundation, the public interest incorporated foundation established by Soichiro Honda and his younger brother Benjiro and currently led by President Hiroto Ishida, is pleased to announce that the Honda Prize 2019 will be awarded to Dr. Geoffrey Hinton, Professor Emeritus of the University of Toronto and Chief Scientific Adviser of the Vector Institute for his pioneering research in the field of deep learning(1) in artificial intelligence (AI) and his contribution to practical application of the technology. The Honda Prize, established in 1980 and awarded once each year, is an international award that recognizes the work of individuals or groups generating new knowledge to drive the next generation, from the standpoint of eco-technology(2). Dr. Hinton has created a number of technologies that have enabled the broader application of AI, including the backpropagation algorithm(3) that forms the basis of the deep learning approach to AI. AI is expected to play an important role not only in the advancement of science and technology but also in resolving many different global issues that humankind must address in the areas of energy and climate change. The Prize will be awarded to Dr. Hinton for his outstanding achievements worthy of the highest recognition. This year marks the 40th award of the prize.

Over the past several years, the retail industry has undergone a tremendous transformation. With the rapid growth of eCommerce, spearheaded by tech giants like Amazon, retail has become as much as an online experience as a physical one. It's been estimated that by the end of 2019, 1.92 billion people in the world will be shopping online. With such a large growing audience, shifting consumer preferences, and innovative new technology, it's no wonder that the retail industry is in a constant state of transformation. In order to shed some light on how much the industry has evolved, I had a conversation with Ajoy Krishnamurti, Chief Business Officer for Retail and eCommerce at Crayon Data.

Data presents an invaluable opportunity for firms to innovate, but only if they know what to do with it. In her latest research, Wharton professor of operations, information and decisions Lynn Wu looks at how different organizational structures influence the use of data analytics to spur innovation. Her paper, "Data Analytics Supports Decentralized Innovation," is forthcoming in the journal Management Science and was co-authored by Wharton operations, information and decisions professor Lorin Hitt and Wharton doctoral candidate Bowen Lou. Wu spoke with Knowledge@Wharton about the research. An edited transcript of the conversation follows.

A new law in Illinois will regulate the use of artificial intelligence in job interviews. The Artificial Intelligence Video Interview Act, House Bill 2557, requires companies to notify the applicant when the system is being used, explain how the AI works, get permission from the applicant, limit distribution of the video to people involved with the process and to destroy the video after 30 days. Matthew Jedreski, counsel at Davis Wright Tremaine LLP in Seattle, is a litigator and employment attorney who updates clients on local and state employment laws. Jedreski said AI video interviews apply psychometrics, which is the science of measuring attitude and personality traits. "It's reading data and then analyzing it to determine whether it can draw conclusions about the person being interviewed," Jedreski said.

Game theory is one of the most relevant aspects in modern multi-agent artificial intelligent(AI) systems. To some extent, the recent evolution of AI has triggered a renaissance in the field of game theory fostering innovation across all sorts of new areas. One of those areas is the field of asymmetric games that describe settings in which different players can follow different strategies. Last year, Alphabet's subsidiary DeepMind published a super innovative way to tackle asymmetric game problems. DeepMind's breakthrough can have profound implications in modern multi-agent, AI systems that are often modeled as asymmetric games.

Maria Bartiromo has been covering business news for 30 years, and she's got her eye on the next big wave: artificial intelligence. The Fox Business Network anchor, who recently re-signed with the network for a multiyear deal, is releasing an hour-long investigative documentary about artificial intelligence. The segment, which has been in the works for a year now, includes interviews with chief executive officers of major companies including IBM IBM, -0.76% and Ford. Fox News parent company Fox Corp FOXA, 0.72% was previously owned by MarketWatch parent News Corp NWS, -0.21%. Artificial intelligence isn't just making demands to Siri on Apple's iPhones, AAPL, -1.46% or telling your Google GOOG, -0.71% email inbox to identify spam.

Asked what is the biggest misconception about AI, Yoshua Bengio answered without hesitation "AI is not magic." Winner of the 2018 Turing Award (with the other "fathers of the deep learning revolution," Geoffrey Hinton and Yann LeCun), Bengio spoke at the EmTech MIT event about the "amazing progress in AI" while stressing the importance of understanding its current limitations and recognizing that "we are still very far from human-level AI in many ways." Deep learning has moved us a step closer to human-level AI by allowing machines to acquire intuitive knowledge, according to Bengio. Classical AI was missing this "learning component," and deep learning develops intuitive knowledge "by acquiring that knowledge from data, from interacting with the environment, from learning. That's why current AI is working so much better than the old AI."