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.


OracleVoice: What Does AI Have To Do With Marketing?

#artificialintelligence

As a young brand manager at Miller Brewing Company in 1995, I crunched data using Excel spreadsheets, a process not so far away from what's going on at a lot of companies today, I'd wager. What does AI have to do with marketing--a human-to-human endeavor if there ever was one? Consider this noteworthy bullet point in Gartner's "Top Predictions for IT Organizations and Users for 2016 and Beyond." When most people envision AI, they think of game show-playing computers, self-driving cars, or robot armies. Robotics is at one end of the AI spectrum; at the other is what's referred to as "machine learning," the ability to program a computer to recognize patterns and build models that let it make decisions or generate predictions.


A machine-learning census of America's cities

#artificialintelligence

"WOULD it not be of great satisfaction to the king to know, at a designated moment every year, the number of his subjects?" A military engineer by the name of S├ębastien le Prestre de Vauban posed this question to Louis XIV in 1686, pitching him the idea of a census. All France's resources, the wealth and poverty of its towns and the disposition of its nobles would be counted, so that the king could control them better. These days, such surveys are common. But they involve a lot of shoe-leather, and that makes them expensive.