Io-Tahoe, a pioneer in Smart Data Discovery and AI-Driven Data Catalog products, in its efforts to continue to transform the data discovery market, today announced it has been named a Leader in the use of artificial intelligence (AI) and machine learning (ML) for data management in a new research report and decision guide from Enterprise Management Associates (EMA). The research report, which names Io-Tahoe a Leader, says companies which deploy AI-enabled analytics and data management solutions can potentially save up to $5,000,000 a year. EMA research also finds that they can create more value through enhancements such as increased speed of innovation; the report claims that 83 per cent of the companies surveyed are already seeing cost savings, along with a significant reduction in annual person-hours required to complete analysis of the data. "AI enablement signifies a major shift from passive to active use of metadata," said John Santaferraro, EMA's Research Director, Analytics, Business Intelligence, and Data Management. "The passive use of metadata focused on definitions and documentation, while the active use of metadata focuses on the delivery of services, such as data cataloguing, data governance, data discovery, and master data services."

Editor's note: This is the latest installment in an Uptech series of video interviews and accompanying transcripts about the emerging development and uses of Artificial Intelligence along with Machine Learning, YourLocalStudio.com and WRAL TechWire are working together to publish this series. Alexander Ferguson is the founder and CEO of YourLocalStudio. Artificial intelligence, machine learning: These emerging technologies are changing the way we live, work, and do business in the world for the better. How is AI actually being applied in business today, though? In this episode of UpTech Report, I interview Chaitanya Hiremath, who also goes by Chad.

It's clear that there's a revolution in how artificial intelligence is done with neural networks as opposed to the old school systems of the '80s and the '90s. It's clear that hardware is beginning to evolve, and it's also quite clear that the way that we power these hardware systems is going to have to change. GPUs and AI hardware are tremendously power-intensive, and this week we speak with Robert Gendron of Vicor Corporation, a company focused on powering AI systems. Vicor is in partnership with Kisaco Research, which is putting on the 2019 AI Hardware Summit September 17 and 18 in Mountain View, California. Robert speaks about why the way that they are powered needs to be different than traditional manufacturing equipment.

I'm sure most of my readers are avid movie watchers. Let's look at one of Disney's animated movies that were a good amalgamation of emotions with science. We're talking about a Disney movie where a robot (read, healthcare companion) is designed to provide medical aid and assistance to humans. The robot is designed to never harm humans but talks to them and through them of all their issues pertaining to mental and physical health. The robot sacrifices its life to save the protagonist's life in the end.

IMAGE: Yoshua Bengio, Co-recipient of the ACM A.M. Turing Award, will present his Turing Lecture at the Heidelberg Laureate Forum on September 23, 2019. ACM, the Association for Computing Machinery, today announced that Yoshua Bengio, co-recipient of the 2018 ACM A.M. Turing Award, will present his Turing Award Lecture, "Deep Learning for AI," at the Heidelberg Laureate Forum on September 23 in Heidelberg, Germany. Bengio is a professor at the University of Montreal and Scientific Director at Mila, Quebec's Artificial Intelligence Institute. He received the 2018 ACM A.M. Turing Award with Geoffrey Hinton, VP and Engineering Fellow of Google, and Yann LeCun, VP and Chief AI Scientist at Facebook. Bengio, Hinton and LeCun were recognized for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.

In a recent post, we covered five of our favorite artificial intelligence (AI) applications that you can see in action today. It delved into how organizations around the world are leveraging Narrow AI, data mining, computer vision, and more. In case you missed it, you can read it here. But one article certainly wasn't enough to cover all that AI is capable of accomplishing! For this reason, we've decided to revisit this topic with another round of AI applications being used right now. Machine learning is a subset of AI that arose from the idea that computers could learn how to perform specific tasks without being explicitly programmed to do so.

ORLANDO, Fla. - What do you think of when you hear the term Artificial Intelligence? More often than not, you might think of a movie with an evil robot intent on destroying the world. Hollywood films often present a frightening image of Artificial Intelligence (AI), but the reality is that we use AI in our daily lives without even knowing it. During its world premiere at Orlando Science Center this fall, Artificial Intelligence: Your Mind & The Machine will show visitors exactly what AI is, how it works, and what it might do in the future. From illusions that trick our brains to machines that can identify your emotions and translate languages, Artificial Intelligence: Your Mind & The Machine shows numerous ways that the human mind and thinking machines work.

New Tool: TF-Explain to Help DNN Interpretability What Do You Think? Despite advances in our ability to solve new problems with deep neural nets, these models are consistently challenged by questions of interpretability. Can TF explain give ML Engineers and Scientists the long sought after tools needed to fight this challenge? New Tool: TF-Explain to Help DNN Interpretability What Do You Think?

S. Kevin Zhou, Ph.D. is currently a Principal Key Expert Scientist at Siemens Healthcare Technology Center, leading a team of full time research scientists and students dedicated to researching and developing innovative solutions for medical and industrial imaging products. His research interests lie in computer vision and machine/deep learning and their applications to medical image analysis, face recognition and modeling, etc. He has published over 150 book chapters and peer-reviewed journal and conference papers, registered over 250 patents and inventions, written two research monographs, and edited three books. He has won multiple technology, patent and product awards, including R&D 100 Award and Siemens Inventor of the Year. He is an editorial board member for Medical Image Analysis journal and a fellow of American Institute of Medical and Biological Engineering (AIMBE).

Is emotional AI ready to be a key component of our cars and other devices? Analysts are predicting huge growth for emotional AI in the coming years, albeit with widely differing estimates. A 2018 study by Market Research Future (MRFR) predicted that the "emotional analytics" market, which includes video, speech, and facial analytics technologies among others, will be worth a whopping $25 billion globally by 2025. Tractica has made a more conservative estimate in its own analysis, but still predicted the "emotion recognition and sentiment analysis" market to reach $3.8 billion by 2025. Researchers at Gartner have predicted that by 2022 10 percent of all personal electronic devices will have emotion AI capabilities, either on the device itself or via cloud-based services.