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R obots will begin replacing teachers in the classroom within the next ten years as part of a revolution in one-to-one learning, a leading educationalist has predicted.

Sir Anthony Seldon, Vice-Chancellor of the University of Buckingham, said intelligent machines that adapt to suit the learning styles of individual children will soon render traditional academic teaching all but redundant.

The former Master of Wellington College said programmes currently being developed in Silicon Valley will learn to read the brains and facial expressions of pupils, adapting the method of communication to what works best for them.

Continue reading “‘Inspirational’ robots to begin replacing teachers within 10 years” »

Professor whose study suggested technology can detect whether a person is gay or straight says programs will soon reveal traits such as criminal predisposition.

The joy and pain of artificial intelligence was already apparent in the 1920s.

Ten years ago, researchers thought that getting a computer to tell the difference between a cat and a dog would be almost impossible. Today, computer vision systems do it with greater than 99 percent accuracy. How?

Joseph Redmon works on the YOLO (You Only Look Once) system, an open-source method of object detection that can identify objects in images and video — from zebras to stop signs — with lightning-quick speed. In a remarkable live demo, Redmon shows off this important step forward for applications like self-driving cars, robotics and even cancer detection.

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Ariadna Font Llitjós of IBM Emerging Technology, Director of Emerging Technology Experiences at IBM Experiences, moderated the MIT Venture Capital + Innovation Conference at the MIT Sloan School of Management on June 2017. The main question of this panel was “What do Machine Learning and Artificial Intelligence mean for our future?”

Experts * S. Somasegar of Madrona Venture Group * Karl Iagnemma of NuTonomy, CEO of Nutonomy and Principal Research Scientist at MIT * Gareth Keane of Qualcomm Ventures * Saikat Dey of GuardHat, Co-Founder of GuardHat.

Continue reading “The Future of Machine Learning in a Connected World” »

Not much is known about Neuralink beyond Musk’s few public comments about the potential of brain-computer interfaces to accelerate human evolution. Musk sees real danger in artificial intelligence — he’s called AI a “fundamental risk to the existence of human civilization” — and believes that the best way to keep pace with machine intelligence is to upgrade human intelligence.

“Over time I think we will probably see a closer merger of biological intelligence and digital intelligence,” Musk told audience members at the World Government Conference in Dubai, proposing a high-bandwidth digital interface that can be interlaced with the brain to transmit data at the speed of thought.

Musk elaborated on the brain-computer interface — also known as a neural lace — in an interview published on the blog Wait But Why. In it, he said that the immense creative capacity of the human brain is constrained by the need to compress our highly complex thoughts into speech or typed text.

Continue reading “Elon Musk’s Neuralink Gets $27 Million to Merge Humans and Machines” »

From robotic replacement limbs to bionic eyes, the next step in human evolution might involve augmenting our bodies with a variety of new technology.

Andrew Ng, one of the world’s best-known artificial-intelligence experts, is launching an online effort to create millions more AI experts across a range of industries. Ng, an early pioneer in online learning, hopes his new deep-learning course on Coursera will train people to use the most powerful idea to have emerged in AI in recent years.

Millions of people should master deep learning, says a leading AI researcher and educator.

Artificial intelligence can’t understand meaning or emotion just yet, but it can write a pretty good essay on 17th-century maritime trade.

At the 2017 TED Conference this past April, AI expert Noriko Arai gave a talk presenting her Todai Robot, a machine that has been programmed to take the entrance exam to Japan’s most prestigious university, Tokyo University.

While Arai discovered Todai didn’t pass muster to gain acceptance, the robot still beat 80% of the students taking the exam, which consisted of seven sections, including math, English, science, and a 600-word essay writing portion.

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