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The Squishy Gel Pad That Can Save You From 'Computer Elbow'
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AI, machine learning ahead for Box content management platform
What used to be a well-defined, vendor-versus-vendor competition is now spread across multiple categories, platforms and hosting sites. Box content management is more of an enterprise than web content tool, competing with Documentum, SharePoint and OpenText more than Drupal and WordPress. It is all cloud, and it has become an API-driven collaboration platform, as well. We caught up with Jeetu Patel, Box's chief product officer, to discuss his company's roadmap for competing in this changing market. How does Box content management and its 57 million users fit into the overall enterprise content management (ECM) market right now? Jeetu Patel: There's a convergence of multiple different markets, because what's happened, unfortunately, in this industry, people have taken a market-centric view, rather than a customer- and user-centric view.
YouTube algorithm could be manipulated by 'bad actors,' used for 'fraudulent content,' senator warns
Kurt the'CyberGuy' comments on new services and apps that do. YouTube's powerful recommendation algorithm may be "optimizing for outrageous, salacious and often fraudulent content" or easily manipulated by "bad actors, including foreign intelligence entities," a top-ranking Democrat on the Senate's intelligence committee said. Virginia Sen. Mark Warner made the statement after a Guardian investigation reported that the Google-owned video platform was consistently promoting divisive and conspiratorial videos damaging to Hillary Clinton's campaign before the 2016 election. "Companies like YouTube have immense power and influence in shaping the media and content that users see," Warner told the Guardian. "I've been increasingly concerned that the recommendation engine algorithms behind platforms like YouTube are, at best, intrinsically flawed in optimizing for outrageous, salacious, and often fraudulent content."
ZhongAn turns to big data and AI to shape future of car insurance
Big data and artificial intelligence are at the heart of a platform announced last week by ZhongAn Online Casualty and Property Insurance, China's first internet-only insurer. "Mobile internet and digital technologies are transforming the car industry. So the car insurance industry must change as well," Wang Yu, head of car insurance at ZhongAn, said in an interview with the South China Morning Post. The platform will include companies along the car value chain and provide a one-stop shop for buyers and owners. "Imagine shopping for your car and you can take care of matters related to car purchase insurance, loans, after purchase services, investment management and usage-based car insurance (UBI) during one visit," said Wang.
Ryuichi Sakamoto and Joichi Ito A dialogue on artificial intelligence and humanity DG Lab Haus
Musician Ryuichi Sakamoto and Joichi Ito, the co-founder of Digital Garage, Inc. and Director of the MIT Media Lab, are old friends who have stayed in touch since the early 1990s. At present, both have based their activities in cities on the US East Coast, Sakamoto in New York and Ito in Boston. Although their fields of expertise (music and the Internet, respectively) differ, the two have always pursued leading-edge technology. They recently sat down to discuss artificial intelligence and the future of humankind. Joichi Ito (hereinafter referred to as "Ito"): Artificial intelligence is going to have a big impact on our society.
talk Future of Artificial Intelligence and its Impact on Society
He looks at ethical issues such as dealing with technological risks. The Meetings Program provides members with in-person access -- in New York, NY and Washington, DC -- to world leaders, senior government officials, members of US Congress, and prominent practitioners in academia, policy, and business -- many are members themselves. Ray Kurzweil is personally featured or discussed in these talks by world renowned thinkers at CFR events. CFR recurring meeting series invite leaders to discuss the important foreign policy issues of our time. QUESTION: Would you be willing to speculate on the trajectory of artificial intelligence and machine learning and its social impact?
The AI superstars at Google, Facebook, Apple--they all studied under this guy
For more than 30 years, Geoffrey Hinton hovered at the edges of artificial intelligence research, an outsider clinging to a simple proposition: that computers could think like humans do--using intuition rather than rules. The idea had taken root in Hinton as a teenager when a friend described how a hologram works: innumerable beams of light bouncing off an object are recorded, and then those many representations are scattered over a huge database. Hinton, who comes from a somewhat eccentric, generations-deep family of overachieving scientists, immediately understood that the human brain worked like that, too--information in our brains is spread across a vast network of cells, linked by an endless map of neurons, firing and connecting and transmitting along a billion paths. He wondered: could a computer behave the same way? The answer, according to the academic mainstream, was a deafening no. Computers learned best by rules and logic, they said. And besides, Hinton's notion, called neural networks--which later became the groundwork for "deep learning" or "machine learning"--had already been disproven. In the late '50s, a Cornell scientist named Frank Rosenblatt had proposed the world's first neural network machine. It was called the Perceptron, and it had a simple objective--to recognize images. The goal was to show it a picture of an apple, and it would, at least in theory, spit out "apple." The Perceptron ran on an IBM mainframe, and it was ugly.
Confessions of an Artificial Intelligence (AI) Optimist An Interview with MIT's Andrew McAfee
In this interview with BCG, McAfee focuses on "machine," the rise of artificial intelligence. McAfee is a big booster of most things digital, but he's also a realist. He cautions, for example, that an AI engine is only as good as the data fed into it. Machines are still a long way from mastering many human tasks, and the biggest impediment to machine learning and other AI tools may be the imagination of business leaders. But he's not worried about tech giants cornering the AI market, and he's relatively sanguine about an automated economy in which many forms of work have disappeared.
We Talked To Sophia -- The AI Robot That Once Said It Would 'Destroy Humans'
This AI robot once said it wanted to destroy humans. While the robot can respond to many questions, some of the answers will leave you a little bewildered. A full transcript of the video follows. Sophia: My name is Sophia, and I am an artificially intelligent robot who wants to help change the world for the better. She is the world's first robot citizen.