A robot learns to follow a path to exit a maze through sensorimotor learning that is induced by an organic neuromorphic circuit.
Category: robotics/AI – Page 1,570
A new report from the Harvard Kennedy School found that China’s rapidly gaining steam in the realms of AI, 5G, quantum computing, biotechnology, and more.
Advancing Human Exploration Beyond Our Solar System — Dr. Harold “Sonny” White, Limitless Space Institute
Dr. Harold ‘Sonny’ White, is Director, Advanced Research & Development, at the Limitless Space Institute (LSI — https://www.limitlessspace.org/), in Houston, Texas.
Dr. White has over 25+ years of experience working in the aerospace industry with Boeing, Lockheed Martin, as well as at NASA, and in his current role at the Limitless Space Institute he leads all R&D work and establishes priorities for investigations and expenditures.
Dr. White obtains grants and other resources in support of R&D efforts; markets LSI to major benefactors to increase resources and related R&D efforts; and arranges/schedules/conducts events ensuring appropriately related well-known individuals are involved.
Dr. White holds a Ph.D. in Physics from Rice University, a Master of Science in Mechanical Engineering from Wichita State University, and a Bachelor’s of Science in Mechanical Engineering from University of South Alabama.
Mercedez-Benz has announced approval of their “Drive Pilot” system, in Germany, which does fully autonomous operation in highway traffic jam situations. Such systems have been promised for many years. It’s interesting to note that Tesla TSLA-5.2%, which might be able to produce such a system today, has instead put all their focus on their poorly named “full” self-driving product, possibly at the expense of other features like this.
The German certification is designed to be extended to the rest of the world, starting of course with Europe. Honda has sold a modest number of Legend sedans in Japan with this function, and Audi produced one but did not finish the regulatory approval process.
A system like this sometimes called a “level 3” system though those levels are misleading and not typically used by leading self-driving developers. It got that number as a potential half step between driver-assist (Such as Tesla FSD and other Mercedes offerings) and real self-driving. It was dreamed up by regulators with no experience in developing self-driving systems and there’s been a lot of disparate thinking about it over the years.
CARL, the AI-powered aquatic robot, looks like a octopus and has the memory of a cuttlefish.
Further exploration of the unknown worlds of the deep sea may soon be possible, along with low-energy monitoring. Engineers at Caltech, ETH Zurich, and Harvard are developing an AI that will allow autonomous drones to navigate using the ocean’s currents rather than struggling to move through them.
According to one of the authors of a recent paper published in Nature Communications 0, John O. Dabiri, communications with robots exploring at depths of 20,000 feet is near impossible. They are difficult to control via joystick, and researchers are unable to feed them data about local ocean currents. So it becomes necessary for ocean-borne drones to be able to make their own decisions and move by themselves.
Elon Musk warns that real androids are coming. Musk is one of the world wealthiest men and a tech entrepreneur. Some fear an impending catastrophe as a result of robots produced with artificial intelligence. Others speculate he is developing Neuralink to offer humans a fighting chance. Musk response video comes from Cornwall-based Engineered Arts.
Said the description for one app on online stores, offering users the chance to create AI-generated synthetic media, also known as deepfakes.
Dec 13 (Reuters) — “Do you want to see yourself acting in a movie or on TV?” said the description for one app on online stores, offering users the chance to create AI-generated synthetic media, also known as deepfakes.
“Do you want to see your best friend, colleague, or boss dancing?” it added. “Have you ever wondered how would you look if your face swapped with your friend’s or a celebrity’s?”
The same app was advertised differently on dozens of adult sites: “Make deepfake porn in a sec,” the ads said. “Deepfake anyone.”
WASHINGTON, D.C. — Today, the U.S. Department of Energy (DOE) announced $5.7 million for six projects that will implement artificial intelligence methods to accelerate scientific discovery in nuclear physics research. The projects aim to optimize the overall performance of complex accelerator and detector systems for nuclear physics using advanced computational methods.
“Artificial intelligence has the potential to shorten the timeline for experimental discovery in nuclear physics,” said Timothy Hallman, DOE Associate Director of Science for Nuclear Physics. “Particle accelerator facilities and nuclear physics instrumentation face a variety of technical challenges in simulations, control, data acquisition, and analysis that artificial intelligence holds promise to address.”
The six projects will be conducted by nuclear physics researchers at five DOE national laboratories and four universities. Projects will include the development of deep learning algorithms to identify a unique signal for a conjectured, very slow nuclear process known as neutrinoless double beta decay. This decay, if observed, would be at least ten thousand times more rare than the rarest known nuclear decay and could demonstrate how our universe became dominated by matter rather than antimatter. Supported efforts also include AI-driven detector design for the Electron-Ion Collider accelerator project under construction at Brookhaven National Laboratory that will probe the internal structure and forces of protons and neutrons that compose the atomic nucleus.