FastNICs seeks to improve network stack performance by 100x or more, and to accelerate distributed applications like training deep neural networks.
Category: robotics/AI – Page 2,234
Our weird behavior during the pandemic is messing with AI models
In the week of April 12–18, the top 10 search terms on Amazon.com were: toilet paper, face mask, hand sanitizer, paper towels, Lysol spray, Clorox wipes, mask, Lysol, masks for germ protection, and N95 mask. People weren’t just searching, they were buying too —and in bulk. The majority of people looking for masks ended up buying the new Amazon #1 Best Seller, “Face Mask, Pack of 50”.
When covid-19 hit, we started buying things we’d never bought before. The shift was sudden: the mainstays of Amazon’s top ten—phone cases, phone chargers, Lego—were knocked off the charts in just a few days. Nozzle, a London-based consultancy specializing in algorithmic advertising for Amazon sellers, captured the rapid change in this simple graph.
It took less than a week at the end of February for the top 10 Amazon search terms in multiple countries to fill up with products related to covid-19. You can track the spread of the pandemic by what we shopped for: the items peaked first in Italy, followed by Spain, France, Canada, and the US. The UK and Germany lag slightly behind. “It’s an incredible transition in the space of five days,” says Rael Cline, Nozzle’s CEO. The ripple effects have been seen across retail supply chains.
An AI can simulate an economy millions of times to create fairer tax policy
Deep reinforcement learning has trained AIs to beat humans at complex games like Go and StarCraft. Could it also do a better job at running the economy?
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Tony Webster / Flickr.
Tony Webster / Flickr.
Looks like Nvidia is cooking up a new DGX deep-learning system
Judging by the heatsinks, that system could preheat Huang’s oven by itself.
Navy MQ-4 Triton Flying Operational Missions From Guam
Almost three months after arriving in Guam, a pair of MQ-4C Triton autonomous, unmanned aircraft have integrated into fleet operations and training flights and stretched the Navy’s maritime domain awareness across the Indo-Pacific, according to the Navy.
The Navy is counting on the Triton, which can operate at greater than 50,000-foot altitudes and at the 2,000-mile-plus range, to provide an unmanned platform for persistent, maritime intelligence, surveillance, and reconnaissance capabilities and work alongside its manned fleet of reconnaissance and surveillance patrol aircraft. The Tritons with Unmanned Patrol Squadron 19 – the Navy’s first unmanned aircraft squadron – arrived in Guam in late January to support CTF-72, which oversees the patrol, reconnaissance and surveillance force in the U.S. 7th Fleet region.
“Bringing Triton forward creates a complex problem set for our adversaries,” Cmdr. Michael Minervini, VUP-19’s commanding officer, said in a statement. “Our ability to provide persistent ISR to fleet and combatant commanders is unmatched in naval aviation.”
Robot programmed to give people haircuts
face_with_colon_three circa 2019.
Robot gives this man a haircut.👦
More info: https://www.rethinkrobotics.com/
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Facebook trains AI on ‘hateful memes’
Washington (AFP) — Facebook unveiled an initiative Tuesday to take on “hateful memes” by using artificial intelligence, backed by crowd sourcing, to identify maliciously motivated posts.
The leading social network said it had already created a database of 10,000 memes — images often blended with text to deliver a specific message — as part of a ramped-up effort against hate speech.
“These efforts will spur the broader AI research community to test new methods, compare their work, and benchmark their results in order to accelerate work on detecting multimodal hate speech,” Facebook said in a blog post.
Soft robotic exosuit makes stroke survivors walk faster and farther
Stroke is the leading cause of serious long-term disability in the US with approximately 17 million individuals experiencing it each year. About 8 out of 10 stroke survivors suffer from “hemiparesis”, a paralysis that typically impacts the limbs and facial muscles on one side of their bodies, and often causes severe difficulties walking, a loss of balance with an increased risk of falling, as well as muscle fatigue that quickly sets in during exertions. Oftentimes, these impairments also make it impossible for them to perform basic everyday activities.
To allow stroke patients to recover, many rehabilitation centers have looked to robotic exoskeletons. But although there are now a range of exciting devices that are enabling people to walk again who initially were utterly unable to do so, there remains significant active research trying to understand how to best apply wearable robotics for rehabilitation after stroke. Despite the promise, recent clinical practice guidelines now even recommend against the use of robotic therapies when the goal is to improve walking speed or distance.
In 2017, a multidisciplinary team of mechanical and electrical engineers, apparel designers, and neurorehabilitation experts at Harvard’s Wyss Institute for Biologically Inspired Engineering and John A. Paulson School of Engineering and Applied Sciences (SEAS), and Boston University’s (BU) College of Health & Rehabilitation Sciences: Sargent College showed that an ankle-assisting soft robotic exosuit, tethered to an external battery and motor, was able to significantly improve biomechanical gait functions in stroke patients when worn while walking on a treadmill. The cross-institutional and cross-disciplinary team effort was led by Wyss faculty members Conor Walsh, Ph.D. and Lou Awad, P.T., D.P.T., Ph.D, together with Terry Ellis, Ph.D., P.T., N.C.S. from BU.