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Neural networks running on GPUs have achieved some amazing advances in artificial intelligence, but the two are accidental bedfellows. IBM researchers hope a new chip design tailored specifically to run neural nets could provide a faster and more efficient alternative.

It wasn’t until the turn of this decade that researchers realized GPUs (graphics processing units) designed for video games could be used as hardware accelerators to run much bigger neural networks than previously possible.

That was thanks to these chips’ ability to carry out lots of computations in parallel rather than having to work through them sequentially like a traditional CPU. That’s particularly useful for simultaneously calculating the weights of the hundreds of neurons that make up today’s deep learning networks.

Continue reading “This New Chip Design Could Make Neural Nets More Efficient and a Lot Faster” »

It works by matching up personal data with hospital records.

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A space launch every 3 hours may soon be possible using rockets carried on a fully autonomous unmanned airplane, a new startup company suggests.

Alabama-based startup Aevum aims to per mission, using an air-launch system called Ravn.

“Ravn is designed to launch every 180 minutes,” Jay Skylus, Aevum’s CEO and chief launch architect, told Space.com. “Other launch vehicles fly only a handful of times a year with an average of 18 months of lead time.” [Rocket Launches: The Latest Liftoffs, Photos & Videos].

CADET EXPLORER MISSION

Let Bill Nye and Robert Picardo take you on a journey through the future of space exploration and artificial intelligence. Each week they will show us a different space-themed topic and reveal how AI can help us reach the stars.

IBM Research AI team demonstrated deep neural network (DNN) training with large arrays of analog memory devices at the same accuracy as a Graphical Processing Unit (GPU)-based system. This is a major step on the path to the kind of hardware accelerators necessary for the next AI breakthroughs. Why? Because delivering the Future of AI will require vastly expanding the scale of AI calculations.

Above – Crossbar arrays of non-volatile memories can accelerate the training of fully connected neural networks by performing computation at the location of the data.

This new approach allows deep neural networks to run hundreds of times faster than with GPUs, using hundreds of times less energy.

Continue reading “IBM overcomes von Neumann bottleneck for AI hundreds of time faster using hundreds of times less energy” »

https://www.youtube.com/watch?v=GZgNPmeaTjo

Robots are getting lighter, faster, stronger and smarter. Marc Rybert, founder of Boston Dynamics shows the latest developments at CEBIT 2018.

Courtesy of CEBIT. June 2018.

It’s not unrealistic to think that 80% of what doctors do will be replaced by algorithms and artificial intelligence. The idea, evangelized by venture capitalist Vinod Khosla two years ago, is that machines can more accurately diagnosis us — and that will reduce deadly medical errors and free doctors up to do other things.

The bottom line: We’re getting closer to this reality. Algorithms, for example, can already diagnose diseases from imaging scans better than human radiologists. Computers possibly could take over the entire radiology specialty.

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Continue reading “The big picture: We’re getting closer to AI doctors” »

RIPPA, a fully autonomous robot, can cover five acres a day on a solar charge — finding and exterminating pests and weeds on every single plant over the equivalent of four football fields. Are robots like RIPPA the future of farming?

RIPPA stands for “Robot for Intelligent Perception and Precision Application”.

Continue reading “RIPPA The Farm Robot Exterminates Pests And Weeds” »

That growth in factory worker salaries has been a double-edged sword for China. On one hand, it has increased the purchasing power of Chinese which in turn has powered consumer-led economic growth, but on the other it has made China less competitive on wages and forced companies like Foxconn to introduce more automation.

With 1 million employees and half a dozen factories contributing 4 per cent of the country’s export value, Foxconn’s expansion symbolises China’s role as tech manufacturing powerhouse.