Paul Allen enlists machine-learning tools for monitoring wildlife and ecosystems

#artificialintelligence

Paul Allen has made a name for himself as a co-founder of Microsoft, a supporter of artificial intelligence research and a contributor to causes such as wildlife conservation -- so it only makes sense that the Seattle-area billionaire wants to use machine learning to further his philanthropic goals. His latest contribution comes through the Seattle-based Vulcan Machine Learning Center for Impact, or VMLCI. "Its mission will be to apply the tools of machine learning and AI for good," Bill Hilf, CEO of Paul Allen's Vulcan Inc., said today in a tweet. VMLCI's strategy meshes with the mission of the Allen Institute for Artificial Intelligence, whose motto is "AI for the Common Good." The center aims to forge collaborative partnerships with corporations, academic institutions and other organizations to help connect folks working on social and environmental causes with the machine-learning resources they need.


What is AI? Everything you need to know about Artificial Intelligence

ZDNet

It depends who you ask. AI might be a hot topic but you'll still need to justify those projects. Back in the 1950s, the fathers of the field Minsky and McCarthy, described artificial intelligence as any task performed by a program or a machine that, if a human carried out the same activity, we would say the human had to apply intelligence to accomplish the task. That obviously is a fairly broad definition, which is why you will sometimes see arguments over whether something is truly AI or not. AI systems will typically demonstrate at least some of the following behaviors associated with human intelligence: planning, learning, reasoning, problem solving, knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity. AI is ubiquitous today, used to recommend what you should buy next online, to recognise what you say to virtual assistants such as Amazon's Alexa and Apple's Siri, to recognise who and what is in a photo, to spot spam, or detect credit card fraud. At a very high level artificial intelligence can be split into two broad types: narrow AI and general AI.


What is AI? Everything you need to know about Artificial Intelligence ZDNet

@machinelearnbot

It depends who you ask. AI might be a hot topic but you'll still need to justify those projects. Back in the 1950s, the fathers of the field Minsky and McCarthy, described artificial intelligence as any task performed by a program or a machine that, if a human carried out the same activity, we would say the human had to apply intelligence to accomplish the task. That obviously is a fairly broad definition, which is why you will sometimes see arguments over whether something is truly AI or not. AI systems will typically demonstrate at least some of the following behaviors associated with human intelligence: planning, learning, reasoning, problem solving, knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity. AI is ubiquitous today, used to recommend what you should buy next online, to understand what you say to virtual assistants such as Amazon's Alexa and Apple's Siri, to recognise who and what is in a photo, to spot spam, or detect credit card fraud. At a very high level artificial intelligence can be split into two broad types: narrow AI and general AI.


MIT Develops New Machine-Learning Algorithm Designed to Capture True Images of A Black Hole

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A team of researchers led by MIT's Katie Bouman have developed a new computer algorithm that could help astronomers generate the first true image of a black hole. At present, astronomers rely of imaginative minds of artists to create a clear image of a black hole. Black holes are very compact and are very far away from Earth, making it harder for astronomers to create a high-quality photo. "Taking a picture of the black hole in the center of the Milky Way galaxy is equivalent to taking an image of a grapefruit on the moon, but with a radio telescope," Bouman explained in a press release. For years, researchers have been using radio wavelengths to detect and explore distant objects due to the ability of radio frequencies to penetrate through galactic dust.


Apple Buys Machine-Learning Startup Turi

WSJ.com: WSJD - Technology

Apple Inc., AAPL 0.23 % stepping up its involvement in one of Silicon Valley's hottest arenas, is acquiring machine-learning specialist Turi Inc. Financial terms couldn't immediately be determined. GeekWire, which reported the acquisition Friday, said Apple is paying around 200 million. An Apple spokesman issued the company's standard statement in connection with such transactions: "Apple buys smaller technology companies from time to time, and we generally do not discuss our purpose or plans." Turi's chief executive is Carlos Guestrin, who holds the title of Amazon professor of machine learning at the University of Washington--a position endowed by Amazon.com He is also an associate professor of computer science and engineering.