Researchers at MIT’s Center for Bits and Atoms have created tiny building blocks that exhibit a variety of unique mechanical properties, such as the ability to produce a twisting motion when squeezed. These subunits could potentially be assembled by tiny robots into a nearly limitless variety of objects with built-in functionality, including vehicles, large industrial parts, or specialized robots that can be repeatedly reassembled in different forms.
The researchers created four different types of these subunits, called voxels (a 3D variation on the pixels of a 2D image). Each voxel type exhibits special properties not found in typical natural materials, and in combination they can be used to make devices that respond to environmental stimuli in predictable ways. Examples might include airplane wings or turbine blades that respond to changes in air pressure or wind speed by changing their overall shape.
The findings, which detail the creation of a family of discrete “mechanical metamaterials,” are described in a paper published today in the journal Science Advances, authored by recent MIT doctoral graduate Benjamin Jenett PhD ’20, Professor Neil Gershenfeld, and four others.
Cerebras Systems and the federal Department of Energy’s National Energy Technology Laboratory today announced that the company’s CS-1 system is more than 10,000 times faster than a graphics processing unit (GPU).
On a practical level, this means AI neural networks that previously took months to train can now train in minutes on the Cerebras system.
Cerebras makes the world’s largest computer chip, the WSE. Chipmakers normally slice a wafer from a 12-inch-diameter ingot of silicon to process in a chip factory. Once processed, the wafer is sliced into hundreds of separate chips that can be used in electronic hardware.
It seems these robots could be used to spy on you from home. 😃
A team of researchers demonstrated that popular robotic household vacuum cleaners can be remotely hacked to act as microphones.
The researchers—including Nirupam Roy, an assistant professor in the University of Maryland’s Department of Computer Science—collected information from the laser-based navigation system in a popular vacuum robot and applied signal processing and deep learning techniques to recover speech and identify television programs playing in the same room as the device.
The research demonstrates the potential for any device that uses light detection and ranging (Lidar) technology to be manipulated for collecting sound, despite not having a microphone. This work, which is a collaboration with assistant professor Jun Han at the University of Singapore was presented at the Association for Computing Machinery’s Conference on Embedded Networked Sensor Systems (SenSys 2020) on November 18, 2020.
AI startup RealityEngines. AI changed its name to Abacus.AI in July. At the same time, it announced a $13 million Series A round. Today, only a few months later, it is not changing its name again, but it is announcing a $22 million Series B round, led by Coatue, with Decibel Ventures and Index Partners participating as well. With this, the company, which was co-founded by former AWS and Google exec Bindu Reddy, has now raised a total of $40.3 million.
There are ways that a robot companion could outperform humans, Jecker says, by providing sympathetic and patient support free of judgment and condescension around the clock.
“It relates to issues of dignity,” Jecker told the Times. “The ability to be sexual at any age relates to your ability to have a life. Not just to survive, but to have a life, and do things that have value. Relationships. Bodily integrity. These things are a matter of dignity.”
Ira Pastor, ideaXme life sciences ambassador interviews Dr. Jiangying Zhou, DARPA program manager in the Defense Sciences Office, USA.
Ira Pastor comments:
On this episode of ideaXme, we meet once more with the U.S. Defense Advanced Research Projects Agency (DARPA), but unlike the past few shows where we been spent time with thought leaders from the Biologic Technology Office (BTO), today we’re going to be focused on the Defense Sciences Office (DSO) which identifies and pursues high-risk, high-payoff research initiatives across a broad spectrum of science and engineering disciplines and transforms them into important, new game-changing technologies for U.S. national security. Current DSO themes include frontiers in math, computation and design, limits of sensing and sensors, complex social systems, and anticipating surprise.
Dr. Jiangying Zhou became a DARPA program manager in the Defense Sciences Office in November 2018, having served as a program manager in the Strategic Technology Office (STO) since January 2018. Her areas of research include machine learning, artificial intelligence, data analytics, and intelligence, surveillance and reconnaissance (ISR) exploitation technologies.
Prior to joining DARPA, Dr. Zhou was a senior engineering manager in the Information Sciences Division at Teledyne Scientific and Imaging, LLC. During her more than ten-year tenure at Teledyne, Dr. Zhou worked on many contract R&D programs from U.S. government funding agencies as well as commercial customers in the areas of sensor exploitation, signal and image processing, and pattern recognition. Dr. Zhou also served as director of R&D of Summus Inc., a small start-up company specializing in contract engineering projects for U.S. Department of Defense and commercial customers in the areas of video and image compression, pattern recognition, and computer vision. Dr. Zhou began her career as a scientist at Panasonic Technologies, Inc., Princeton, New Jersey, where she conducted research in the areas of document analysis, handwriting recognition, image analysis, and information retrieval.
Dr. Zhou received a Bachelor of Science and a Master of Science, both in computer science, from Fudan University. She received a doctorate in electrical engineering from the State University of New York at Stony Brook.
Dr. Zhou is a member of the Institute of Electrical and Electronics Engineers Society and also a member of the Upsilon Pi Epsilon international honor society for the computing and information disciplines.
The 325th Security Forces Squadron, which handles security for the base, said the robo-dogs are weatherproof, four-legged, unmanned patrolling drones that have two-way communication abilities and high-tech sensors that cost about $100,000 a pop, the outlet reported.
Boston Dynamics getting dumped again. The dog robot was ideal as a replacement for guard dogs, someone else is already filling that void. The Atlas robot no where near ready for market. Probably down hill from here.
A sale to Hyundai could hasten the company’s shift from research to commercialization.
