Sen. Elizabeth WarrenElizabeth Ann WarrenTrump says his Doral resort will no longer host G-7 after backlash Ocasio-Cortez: Sanders' heart attack was a'gut check' moment Ocasio-Cortez tweets endorsement of Sanders MORE (D-Mass) and entrepreneur Andrew YangAndrew YangYang cautions Democrats: Impeachment might not be'successful' Yang defends Gabbard: She'deserves much more respect' Super PAC seeks to spend more than million supporting Yang MORE's fight over jobs and automation at the last Democratic debate highlighted the divide over the contentious issue, including among experts. Warren and Yang sparred at Tuesday's presidential debate over whether automation or trade were primarily responsible for eliminating jobs in key parts of the country. Yang's campaign is centered around a universal basic income, which would pay every adult citizen $1,000 a month to combat the job loss brought on by automation. Americans, he said, are already seeing the effects of speedy technological advancement. "Their Main Street stores are closing. They see a self-serve kiosk in every McDonalds, every grocery store, every CVS," he said at the debate in Ohio.

Cybersecurity is increasingly supported by artificial intelligence and machine learning tools, but humans are still required to interpret the data, federal agency data officers said at a recent AFCEA Bethesda panel. The amount of data generated by AI and machine learning cybersecurity tools is staggering, panelists said. Those automated tools that are tackling repetitive monitoring work are producing bytes by the trillion. Even at the U.S. Citizenship and Immigration Services, "we're bringing in terabytes of log data per day, and we're not a particularly large agency," said Adrian Monza, USCIS deputy chief information security officer and chief security architect. "You have to have data scientists" to make sense of it, he added.

New Delhi, Oct 20 (IANS) Stressing integration and right balance between human and artificial intelligence (AI), Prime Minister Narendra Modi here on Sunday said the debate on AI should focus on bridging the gap between human intentions and AI, and not its likely negative impact. Speaking at the launch of book'Bridgital Nation', written by N. Chandrasekaran and Roopa Purushottam, Modi said, "The debate should not be on what are the dangers from AI, but how to bridge the gap between artificial intelligence and human intentions." He said the emphasis should be on ways to upgrade skills as per the demand. "Let AI be just another aid, which is little more sophisticated," he said. Released the book, 'Bridgital Nation: Solving Technology's People Problem' written by N. Chandrasekaran and Roopa Purushothaman.

An Indiana University alumnus who founded a technology company has donated $60 million to IU for the creation of an artificial intelligence center. ServiceNow founder Fred Luddy made the donation, which is the second-largest private gift IU has ever received. ServiceNow is a cloud computing company based in Santa Clara, California. IU says Luddy's $60 million donation will finance the creation of an artificial intelligence initiative focused on digital health. It will be based in what's now known as the IU Luddy School of Informatics, Computing and Engineering, but will be renamed the Luddy School of Informatics, Computing and Engineering.

In the fall of 2017, Sam Bowman, a computational linguist at New York University, figured that computers still weren't very good at understanding the written word. Sure, they had become decent at simulating that understanding in certain narrow domains, like automatic translation or sentiment analysis (for example, determining if a sentence sounds "mean or nice," he said). But Bowman wanted measurable evidence of the genuine article: bona fide, human-style reading comprehension in English. So he came up with a test. In an April 2018 paper coauthored with collaborators from the University of Washington and DeepMind, the Google-owned artificial intelligence company, Bowman introduced a battery of nine reading-comprehension tasks for computers called GLUE (General Language Understanding Evaluation). The test was designed as "a fairly representative sample of what the research community thought were interesting challenges," said Bowman, but also "pretty straightforward for humans."

Tokyo AI company Exawizards is using deep learning to analyze unstructured nursing care data such as audio and video recordings. Faced with a rapidly aging population, Japan is turning to new solutions for a many-faceted problem. Amid a low birthrate, more than one-fifth of Japanese are now 70 or older, according to government data. Meanwhile, there are not enough people to care for this cohort. By 2025, there will be a shortfall of 340,000 nursing care workers. Under the Abe administration, Japan has actively welcomed foreign professionals as one measure to address this issue.

Ridley Scott's Blade Runner was a game changer in the world of science-fiction. In 1982, the same year that kid-friendly films like E.T. were released conveying the adventures of a cuddly extra-terrestrial, Scott's vision of the near-future was introducing thought-provoking questions about the advancement of artificial intelligence, humankind's desire to play God, and what constituted being "human" with the rise of genetic engineering. Set in 2019 Los Angeles after the degradation of Earth from a nuclear war, resources are scarce and anyone wealthy enough to do so ventures off-world. Off-world planets are colonized by replicants, synthetic beings created for the purpose of slave labor and dangerous activities unfit for humans. After a replicant revolt, they're forbidden from returning to Earth, but a few escape in a shuttle intent on making a better life for themselves. Deckard is the "Blade Runner" sent to "retire" them, along the way discovering more about his own humanity as he hunts those considered "more human than human."

In this special guest feature, Glen Rabie, CEO of Yellowfin, discusses how alerts are commonly used as a basic business intelligence tool, but there's a better alternative: AI-driven automated analytics. AI has the power to parse the data behind dashboards and send a signal when significant activity happens. Here are five reasons why AI-driven automated analytics are better than alerts in today's evolving business landscape. Yellowfin is an Analytics and Business Intelligence software company focused on helping businesses understand their data. Rabie is passionate about data and improving business performance through analytics.

Intel is preparing the launch of a discrete graphics card next year, presenting market leaders Nvidia and AMD with a new rival. Industry sources told DigiTimes about the rumored launch, explaining that the standalone GPU (Graphics Processing Unit) will not be "purely" targeting the gaming market. Instead, Intel is targeting "business opportunities from the data center, AI and machine learning applications," combining the new GPUs with its CPUs to create a "competitive platform". A move away from the gaming market into AI and machine learning could be a concern for Nvidia, in particular, which has directed its GPUs at the burgeoning arena. While GPUs have been developed in gaming marketing where-- with use of their own memory, cooling fans and heatsinks-- they are dedicated to the "large-scale number-crunching" required for rendering evermore'lifelike' game images.

While AI may increase speed and efficiency of medical care on the front lines, one of its most powerful benefits is the ability to search vast amounts of data to learn about genetic aspects of various diseases. Cardiomegaly Is An Enlargement Of The Heart Due To Dilatation Of The Heart Cavities. Earlier identification of persons at risk for heart failure or a genetic cardiomyopathy is a prime example. This could enable persons to be more closely monitored by health care providers and even placed on lists for transplant before they decompensate and develop heart failure leading to cardiogenic shock, which can be ultimately be fatal if not treated and identified in a timely fashion. Researchers at Queen Mary University of London have now harnessed the power of AI to identify patients who are at risk for heart failure, enabling earlier identification, management and treatment of these high-risk individuals.