Lifeboat Foundation

Training bigger neural networks can be challenging when faced with accelerator memory limits. The size of the datasets being used by machine learning models is very large nowadays. For example, a standard image classification datasets like hashtagged Instagram contains millions of images. With the increasing quality of the images, the memory required will also increase. Today, the memory available on NVIDIA GPUs is only 32 GB.

Therefore, there needs to be a tradeoff between memory allocated for the features in a model and how the network gets activated. It is only understandable why the accelerator memory limit needs to be breached.

Continue reading “Reaching Into The Parallel Universe With Intel’s Xeon Processor” »

Intel and others are investing $13 million in Untether AI, a startup that’s working on a novel type of chip for artificial intelligence that promises to perform neural-network calculations at warp speed.

Speedup: Untether, based in Toronto, Canada, has already developed a prototype device that transfers data between different parts of the chip 1,000 times more quickly than a conventional AI chip. That’s an impressive achievement, but it should be treated cautiously since the prototype is far larger than an actual chip—and because other factors will contribute to the overall performance of the finished device.

Bottleneck: One of the key challenges with modern chips is shuttling data from memory to the units used to perform logical operations. This is especially problematic as the amount of data that chips need to process increases, as is the case with AI applications such as face or voice recognition. Untether uses what’s known as “near-memory computing” to reduce the physical distance between memory and the processing tasks, which speeds up data transfer and lowers power consumption.

Continue reading “Intel buys into an AI chip that can transfer data 1,000 times faster” »

Qualcomm said it plans to begin testing its new Cloud AI 100 chip with partners such as Microsoft Corp later this year, with mass production likely to begin in 2020.

Qualcomm’s new chip is designed for what artificial intelligence researchers call “inference” – the process of using an AI algorithm that has been “trained” with massive amounts of data in order to, for example, translate audio into text-based requests.

Analysts believe chips for speeding up inference will be the largest part of the AI chip market.

Continue reading “Qualcomm Aims for Quantum AI Chips” »

Step aside, reindeer — robot dogs are hauling this load.

In an ominous video titled “Mush, Spot Mush!” posted on YouTube Tuesday, robot maker Boston Dynamics showed off the sheer strength of its SpotMini quadripedal robot dog. The clip shows 10 specialized Spotmini derivatives called Spotpower hauling a box truck across a parking lot — and at a one degree incline.

Continue reading “Watch a Pack of Boston Dynamics’ Creepy Robot Dogs Pull a Truck” »

It’s like Ultimate Frisbee meets Quidditch.

With funding from NASA, researchers are exploring how to control inflatable robots for future space missions.

David Chalmers is University Professor of Philosophy and Neural Science and co-director of the Center for Mind, Brain, and Consciousness at New York University. He is best known for his work on consciousness, including his formulation of the “hard problem” of consciousness; Daniel C. Dennett is University Professor and Austin B. Fletcher Professor of Philosophy and director of the Center for Cognitive Studies at Tufts University. He is the author of a dozen books, including Consciousness Explained, and, most recently, From Bacteria to Bach and Back: The Evolution of Minds; John Brockman, moderator, is a cultural impresario whose career has encompassed the avant-garde art world, science, books, software, and the Internet. He is the author of By The Late John Brockman and The Third Culture; editor of the Edge Annual Question book series, and Possible Minds: 25 Ways of Looking at AI.

[ED. NOTE: On Saturday, March 9th, more than 1200 people jammed into Pioneer Works in Red Hook, Brooklyn, for a conversation between two of our greatest philosophers, David Chalmers and Daniel C. Dennett: “Is Superintelligence Impossible?” the next event in Edge’s ongoing “Possible Minds Project.” Watch the video, listen to the EdgeCast, read the transcript. Thanks to physicist, artist, author, and Edgie Janna Levin, Director of Sciences at Pioneer Works, who presented the event with the support of Science Sandbox, a Simons Foundation initiative. —JB]

Somebody said that the philosopher is the one who says, “We know it’s possible in practice, we’re trying to figure out if it’s possible in principle.” Unfortunately, philosophers sometimes spend too much time worrying about logical possibilities that are importantly negligible in every other regard. So, let me go on the record as saying, yes, I think that conscious AI is possible because, after all, what are we? We’re conscious. We’re robots made of robots made of robots. We’re actual. In principle, you could make us out of other materials. Some of your best friends in the future could be robots. Possible in principle, absolutely no secret ingredients, but we’re not going to see it. We’re not going to see it for various reasons. One is, if you want a conscious agent, we’ve got plenty of them around and they’re quite wonderful, whereas the ones that we would make would be not so wonderful. —Daniel C. Dennett

Continue reading “Is Superintelligence Impossible?” »

Whether it comes to rescuing people from a cave system or the underground maze of sewers, tunnels and the like that exist underneath any major city, having accurate maps of the area is always crucial to know what the optimal routes are, and what the expected dangers are. The same is true for combat situations, where such maps can mean the difference between the failure or success of a mission. This is why DARPA last year started the Subterranean Challenge, or ‘SubT’ for short.

This challenge seeks new approaches to map, navigate, and search underground environments during time-sensitive combat operations or disaster response scenarios, which would allow for these maps to be created on-demand, in the shortest amount of time possible. Multidisciplinary teams from the world are invited to create autonomous systems that can map such subsurface networks no matter the circumstances.

Continue reading “Go Subterranean With This DARPA Challenge” »

A team has proposed using nanobots to create the ‘internet of thoughts’, where instant knowledge could be downloaded just by thinking it.

An international team of scientists led by members of UC Berkeley and the US Institute for Molecular Manufacturing predicts that exponential progress in nanotechnology, nanomedicine, artificial intelligence (AI) and computation will lead this century to the development of a human ‘brain-cloud interface’ (B-CI).

Writing in Frontiers in Neuroscience, the team said that a B-CI would connect neurons and synapses in the brain to vast cloud computing networks in real time.

Continue reading “Scientists propose putting nanobots in our bodies to create ‘global superbrain’” »