Will Knight, senior editor for AI at MIT Technology Review, recently pulled together a short list of interesting pieces on AI and robotics from a variety of journals.Continue Reading →
A group of high-profile technology executives led by Elon Musk, Reid Hoffman, Peter Thiel, and Sam Altman has announced the formation of the latest in what has now become a flurry of new efforts to research various aspects of AI and its component technologies and issues. The non-profit OpenAI effort will be funded to the tune of $1B funneled incrementally over the next decade.Continue Reading →
Unlike chess and Jeopardy, the game of Go has proved elusive for researchers seeking to craft a machine that can beat a human opponent. MIT Technology Review reports on advances by Facebook research, where a pair of scientists have recently created a pretty darn good Go-playing machine. Their approach combines a traditional search-based approach with neural network-based machine learning and trounces earlier Go machines over 90% of the time.Continue Reading →
Over the next ten years, Cambridge University in the UK will be using a grant of $15M from the Leverhulme Trust to establish an academic Centre tasked to establish an academic Centre to “create an AI community with a common purpose of responsible innovation and to update the current thinking about the opportunities and challenges posed by AI.” The new center is in part a tangible response to the high profile conversation among Steven Hawking, Bill Gates, Elon Musk and ...Continue Reading →
To help offload the work of volunteer human editors tasked with detecting malevolent postings on the open encyclopedia, Wikipedia has turned to open source machine learning code to develop algorithms for differentiating malevolent new posts from legitimate ones. The goal of the Objective Revision Evaluation Service (ORES) is to help Wikipedia provide a more friendly environment for well-intentioned editors by relaxing current stringent editing restrictions. By identifying obvious vandals, ORES has allowed a positive modification in Wikipedia’s policies toward screening ...Continue Reading →
Japan has led the world in robotics for decades, but not so much the software world. Now Japanese startup Preferred Networks has published a deep learning platform environment that they hope to make a de facto standard among software developers working on a new generation of smarter hardware devices.Continue Reading →
In the last week we’ve seen some noteworthy developments in the cognitive computing field. Most significantly, Google and then Microsoft, open sourced their machine learning systems in an effort to move the field ahead. But software is not the only component involved in this advancement. There has also been significant progress in machine learning and other artificial intelligence tasks because we have more and faster processing power.
Some folks are beginning to look at what, if any, changes we need to ...Continue Reading →
Onstage at Tim O’Reilly’s Next:Economy conference in San Francisco, CEO Satya Nadella discussed the coming role of smart assistants like Microsoft’s Cortana as browser-killers. Tomorrow, voice interfaces and cognitive software will take care of all the typing and lousy navigation choices we throw at browsers today, according to Nadella.Continue Reading →
Google has released its second-generation machine learning system in an effort to accelerate the field of artificial intelligence.
According to Google’s white paper on TensorFlow, “it is flexible and can be used to express a wide variety of algorithms, including training and inference algorithms for deep neural network models.” This highly scalable machine learning system can run on a single smartphone or across thousands of computers in datacenters. Jeff Dean, Senior Google Fellow, and Rajat Monga, Technical Lead, say ...Continue Reading →
Merrill Lynch/Bank of America Research has released a thick “thematic investing” report (300+ pp.) reviewing the state of robotics and AI development, exploring their impact, and outlining potential investment strategies. In broad strokes, the report calls for the overall market for robots and artificial intelligence-based systems to triple in the next five years to some $150+B, with robotics accounting for roughly $80B and AI systems $70B. Like other recent reports, it sees considerable labor force disruption arising from these trends.