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Artificial Intelligence

by   -   March 23, 2017

In a surprise move which shook Baidu’s stock, Andrew Ng, Baidu’s Chief Scientist and partner with Baidu’s founder Robin Li Yanhong in expanding Baidu’s AI activities into machine learning, driverless vehicles, and to power AI usage in advertising, maps, takeout delivery, and voice-activated search, resigned.

by   -   March 17, 2017

Amongst all the activity in autonomously driven vehicle joint ventures, new R&D facilities, strategic acquisitions (such as Mobileye being acquired by Intel) and booming startup fundings, two big players in the industry, NVIDIA and Bosch, are partnering to develop an AI self-driving car supercomputer.

Whether or not an artificial intelligence (AI) ought to be granted patent rights is a timely dilemma given the increasing proliferation of AI in the workplace. Ronald Yu discusses.

by and   -   March 6, 2017

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Artificial intelligence (AI) already plays a major role in human economies and societies, and it will play an even bigger role in the coming years. To ponder the future of AI is thus to acknowledge that the future is AI. But how bright is that future? Or how dark?

by   -   February 24, 2017

Artificial intelligence is surrounded by fear and mystery because very few understand its inner workings. But it’s actually rather intuitive and far simpler than it seems.

by   -   February 22, 2017

If a machine can think, decide and act on its own volition, if it can be harmed or held responsible for its actions, should we stop treating it like property and start treating it more like a person with rights?

by   -   February 21, 2017

Current legal AI systems do not think like human lawyers. But, as their capabilities improve, the temptation grows to use such systems not only to supplement but to eliminate the need for some personnel. Ron Yu examines how this might affect the legal profession and the future development of legal AI.

by   -   February 17, 2017
MIT Professor Regina Barzilay has struck up new research collaborations, drawn in MIT students, launched projects with local doctors, and begun empowering cancer treatment with the machine-learning insight that has already transformed many areas of modern life.
Photo: Lillie Paquette/School of Engineering

Computer scientist Regina Barzilay is working with MIT students and medical doctors in an ambitious bid to revolutionize cancer care. She is relying on a tool largely unrecognized in the oncology world but deeply familiar to hers: machine learning.

by   -   February 10, 2017

There’s a great deal of concern over artificial intelligence; what it means for our jobs, whether robots will one day replace us in the workplace, whether it will one day lead to robot wars. But current research projects show that artificial intelligence (AI) can also be used for the greater good. Here are five global problems that machine learning could help us solve.

by   -   February 9, 2017

Incorporating strategies from skilled human planners improves automatic planners’ performance.

In this interview, Dr. Yueh-Hsuan Weng invites Prof. Ronald C. Arkin, Executive Committee Member of IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems, to share his insights on roboethics, with a focus on its technical aspects, military and caregiver applications..

by   -   February 3, 2017

A recent Conversation piece pointed out that the British electricity mix in 2016 was the cleanest in 60 years, with record capacity from renewable energy, mainly from wind and solar power. But one problem with this great expansion in renewables is they are intermittent, meaning they depend on weather conditions such as the wind blowing or sun shining. Unlike conventional power, this means they can’t necessarily meet surges in demand. Hence many press headlines in recent years about the “lights going out”.

Part 2: Autonomous Systems and Transparency

In my previous post I argued that a wide range of AI and Autonomous Systems (from now on I will just use the term AS as shorthand for both) should be regarded as Safety Critical. I include both autonomous software AI systems and hard (embodied) AIs such as robots, drones and driverless cars. Many will be surprised that I include in the soft AI category apparently harmless systems such as search engines. Of course no-one is seriously inconvenienced when Amazon makes a silly book recommendation, but consider very large groups of people. If a truth (such as global warming) is – because of accidental or willful manipulation – presented as false, and that falsehood is believed by a very large number of people, then serious harm to the planet (and we humans who depend on it) could result.

by   -   February 1, 2017

Coupled with audio and vital-sign data, this deep-learning, wearable system could someday serve as a “social coach” for people with anxiety or Asperger’s





ICRA 2016: Landmine Detection Challenge
October 16, 2016


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