I’ve seen better. But, always worth a look, for robotics people. We need some DARPA challenge thing for robotic hands.
It’s delicate enough to shake a friend’s hand, but powerful enough to crush its enemies.
Category: robotics/AI – Page 1412
Researchers at Kobe University and Osaka University have successfully developed artificial intelligence technology that can extract hidden equations of motion from regular observational data and create a model that is faithful to the laws of physics.
This technology could enable researchers to discover the hidden equations of motion behind phenomena for which the laws were considered unexplainable. For example, it may be possible to use physics-based knowledge and simulations to examine ecosystem sustainability.
The research group consisted of Associate Professor YAGUCHI Takaharu and Ph.D. student CHEN Yuhan (Graduate School of System Informatics, Kobe University), and Associate Professor MATSUBARA Takashi (Graduate School of Engineering Science, Osaka University).
One of the Saildrone Explorer USVs Task Force 59 is testing in the Gulf of Aqaba. (US Naval Forces Central Command/US 5th Fleet)
The US Navy’s 5th Fleet is testing a Saildrone Explorer unmanned surface vessel (USV) at Jordan’s Aqaba Naval Base.
Welcome to the future of moral dilemmas.
Not a day passes without a fascinating snippet on the ethical challenges created by “black box” artificial intelligence systems. These use machine learning to figure out patterns within data and make decisions — often without a human giving them any moral basis for how to do it.
Classics of the genre are the credit cards accused of awarding bigger loans to men than women, based simply on which gender got the best credit terms in the past. Or the recruitment AIs that discovered the most accurate tool for candidate selection was to find CVs containing the phrase “field hockey” or the first name “Jared”.
Lightning is one of the most destructive forces of nature, as in 2020 when it sparked the massive California Lightning Complex fires, but it remains hard to predict. A new study led by the University of Washington shows that machine learning—computer algorithms that improve themselves without direct programming by humans—can be used to improve lightning forecasts.
Better lightning forecasts could help to prepare for potential wildfires, improve safety warnings for lightning and create more accurate long-range climate models.
“The best subjects for machine learning are things that we don’t fully understand. And what is something in the atmospheric sciences field that remains poorly understood? Lightning,” said Daehyun Kim, a UW associate professor of atmospheric sciences. “To our knowledge, our work is the first to demonstrate that machine learning algorithms can work for lightning.”
Tesla CEO Elon Musk isn’t one to follow rules, particularly when he thinks they’re bogus.
The billionaire likes to envision a world, or perhaps a much smaller society on Mars, in which everybody can do as they please without a greater hierarchy of power.
“If there’s a utopia where people have access to any goods or services that they want, there’s plenty for everyone,” Musk told Time magazine after being named the Person of the Year today. “If we have a highly automated future with the robots that can do anything, then any work you do will be because you want to do it, not because you have to do it.”
A robot learns to follow a path to exit a maze through sensorimotor learning that is induced by an organic neuromorphic circuit.
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.
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.