The researchers have just given computers the capacity to mine patent databases and other research records in order to repurpose old ideas to solve new problems. "Researchers have tried handcrafting data structures, but this approach is time consuming and expensive," said the CMU spokesman, "not scalable for databases that can include nine million U.S. patents or 70 million scientific research papers." He and Shahaf, along with fellow researchers, hired workers through Amazon Mechanical Turk and asked them to look through products on Quirky.com, a product innovation site, and then find analogous products on the same site. Based on insights gleaned from the crowdsourced research, computers equipped with deep learning AI were able to analyze additional product descriptions and identify new analogies.
DeepMind and Blizzard Entertainment, the company behind StarCraft, just released the tools to let AI researchers create bots capable of competing in a galactic war against humans. "From a scientific point of view, the properties of StarCraft are very much like the properties of real life," says David Churchill, a professor at Memorial University of Newfoundland who advised DeepMind on its StarCraft tools who has organized a leading StarCraft bot competition. Google's AlphaGo Trounces Humans--But It Also Gives Them a Boost How Google's AI Viewed the Move No Human Could Understand In chess and Go, you can see all your opponent's moves and pieces, making them so-called perfect information games. And simply pointing current machine-learning algorithms at the new tranches of past games to copy humans won't be enough.
Whether you like posting black-and-white photos or prefer adding filters that make colors pop, your Instagram account may provide clues about your mental health, a new study finds. Using the Instagram photos and mental health history collected in the first part of the study, the researchers then pitted a different group of volunteers against a machine-learning algorithm to see if humans or AI did do a better job of identifying individuals with depression based on their Instagram posts. The new group of volunteers was asked to rate the last 100 photos posted by users with depression diagnoses before those users were first diagnosed with the condition. In addition, the volunteers were asked to rate photos from the group of people without depression diagnoses -- in this case, those users' most recent 100 photos.
Instagram posts made by individuals diagnosed with depression can be reliably distinguished from posts made by healthy controls, using only measures extracted computationally from posted photos and associated metadata. In studies associating mood, color, and mental health, healthy individuals identified darker, grayer colors with negative mood, and generally preferred brighter, more vivid colors [16–19]. Instagram posts made by depressed individuals prior to the date of first clinical diagnosis can be reliably distinguished from posts made by healthy controls. The authors analyzed 118 studies that evaluated general practitioners' abilities to correctly diagnose depression in their patients, without assistance from scales, questionnaires, or other measurement instruments.
Deeplearning.ai is home to a series of online courses Ng says will help spread the benefits of recent advances in machine learning far beyond big tech companies such as Google and Baidu. His prominence comes from work on deep learning at Stanford and Google's X Labs that helped prove machine learning could do transformational things for businesses. Now there aren't enough people with machine learning skills to go around. More than 100,000 people have started a deep learning course offered by Fast.ai, a startup focused on widening use of AI.
The airline industry could save an estimated $35 Billion with pilotless planes, but the public does not like the idea. A link has been sent to your friend's email address. A link has been posted to your Facebook feed. The airline industry could save an estimated $35 Billion with pilotless planes, but the public does not like the idea.
An AI breakthrough that allows a computer to detect depression in photos uploaded to social media could lead to a new mental health app. They gathered 43,950 photos provided by 166 people with 71, just under half, reporting experiences of clinical depression in the previous three years. This latter group preferred filters like Valencia, that gave their photos a warmer brighter tone. Researchers gathered 43,950 photos provided by 166 people with 71, just under half, reporting experiences of clinical depression in the previous three years.
Artificial Intelligence is colossally hyped these days, but the dirty little secret is that it still has a long, long way to go. Computers that can educate themselves -- a mark of true intelligence -- remain a dream. Even the trendy technique of "deep learning," which uses artificial neural networks to discern complex statistical correlations in huge amounts of data, often comes up short.
A Knightscope K5 security robot roamed the Prudential Center in Boston in May. A Knightscope K5 security robot roamed the Prudential Center in Boston in May. Some of the best minds of our times, including Stephen Hawking and Elon Musk, have warned that human beings may invent intelligent machines that could wind up destroying humankind. A Knightscope K5 security robot that patrolled an office complex along the Georgetown waterfront in Washington, D.C., rolled itself into a shallow fountain on Monday -- and drowned.
Currently, most AI systems are based on layers of mathematics that are only loosely inspired by the way the human brain works. Building AI that can perform general tasks, rather than niche ones, is a long-held desire in the world of machine learning. It argues that deep learning, which uses layers of artificial neurons to understand inputs, and reinforcement learning, where systems learn by trial and error, both owe a great deal to neuroscience. The solution, Hassabis and his colleagues argue, is a renewed "exchange of ideas between AI and neuroscience [that] can create a'virtuous circle' advancing the objectives of both fields."