Typically, the charge of electrons is used to store and process information in electronics-based devices. In spintronics, the focus is instead on the magnetic moment or on magnetic vortices, so-called skyrmions—the goal is smaller, faster, and more sustainable computers. To further increase storage density, skyrmions will not only be two-dimensional in the future, but will also conquer the third dimension.
Researchers from the Institute of Physics at Johannes Gutenberg University Mainz (JGU) have now succeeded in creating three-dimensional skyrmions, so-called hybrid skyrmion tubes, in synthetic antiferromagnets and have demonstrated for the first time that these skyrmion tubes move differently than two-dimensional skyrmions.
“Three-dimensional skyrmions are of interest for quantum computing and brain-inspired computing, among other things—here the higher storage density resulting from the third dimension is essential,” says Mona Bhukta from Professor Mathias Kläui’s research group. The results were published on September 26 in Nature Communications.
An international team of researchers from Forschungszentrum Jülich (Germany), Tohoku University (Japan), and École Polytechnique de Montréal (Canada) has made a significant discovery in semiconductor science by revealing the remarkable spin-related material properties of Germanium-Tin (GeSn) semiconductors.
Semiconductors control the flow of electricity that power everyday technology all around us (such as cars and computers). However, technology is progressing at such a breakneck speed that it is straining current semiconductor technologies.
“Semiconductors are approaching their physical and energy-efficiency limits in terms of speed, performance, and power consumption,” says Makoto Kohda from Tohoku University. “This is a huge issue because we need semiconductors that can keep up as we shift to more demanding needs such as 5G/6G networks and the increased use of artificial intelligence.”
WARNING: AI could end humanity, and we’re completely unprepared. Dr. Roman Yampolskiy reveals how AI will take 99% of jobs, why Sam Altman is ignoring safety, and how we’re heading toward global collapse…or even World War III.
Dr. Roman Yampolskiy is a leading voice in AI safety and a Professor of Computer Science and Engineering. He coined the term “AI safety” in 2010 and has published over 100 papers on the dangers of AI. He is also the author of books such as, ‘Considerations on the AI Endgame: Ethics, Risks and Computational Frameworks’
He explains: ⬛How AI could release a deadly virus. ⬛Why these 5 jobs might be the only ones left. ⬛How superintelligence will dominate humans. ⬛Why ‘superintelligence’ could trigger a global collapse by 2027 ⬛How AI could be worse than nuclear weapons. ⬛Why we’re almost certainly living in a simulation.
00:00 Intro. 02:28 How to Stop AI From Killing Everyone. 04:35 What’s the Probability Something Goes Wrong? 04:57 How Long Have You Been Working on AI Safety? 08:15 What Is AI? 09:54 Prediction for 2027 11:38 What Jobs Will Actually Exist? 14:27 Can AI Really Take All Jobs? 18:49 What Happens When All Jobs Are Taken? 20:32 Is There a Good Argument Against AI Replacing Humans? 22:04 Prediction for 2030 23:58 What Happens by 2045? 25:37 Will We Just Find New Careers and Ways to Live? 28:51 Is Anything More Important Than AI Safety Right Now? 30:07 Can’t We Just Unplug It? 31:32 Do We Just Go With It? 37:20 What Is Most Likely to Cause Human Extinction? 39:45 No One Knows What’s Going On Inside AI 41:30 Ads. 42:32 Thoughts on OpenAI and Sam Altman. 46:24 What Will the World Look Like in 2100? 46:56 What Can Be Done About the AI Doom Narrative? 53:55 Should People Be Protesting? 56:10 Are We Living in a Simulation? 1:01:45 How Certain Are You We’re in a Simulation? 1:07:45 Can We Live Forever? 1:12:20 Bitcoin. 1:14:03 What Should I Do Differently After This Conversation? 1:15:07 Are You Religious? 1:17:11 Do These Conversations Make People Feel Good? 1:20:10 What Do Your Strongest Critics Say? 1:21:36 Closing Statements. 1:22:08 If You Had One Button, What Would You Pick? 1:23:36 Are We Moving Toward Mass Unemployment? 1:24:37 Most Important Characteristics.
New artificial intelligence-generated images that appear to be one thing, but something else entirely when rotated, are helping scientists test the human mind.
The work by Johns Hopkins University perception researchers addresses a longstanding need for uniform stimuli to rigorously study how people mentally process visual information.
“These images are really important because we can use them to study all sorts of effects that scientists previously thought were nearly impossible to study in isolation—everything from size to animacy to emotion,” said first author Tal Boger, a Ph.D. student studying visual perception.
A new machine learning method has achieved what even AlphaFold cannot — the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human proteins.
Alibaba’s CEO said the company would be pushing to develop advanced AI. Some in the U.S. have viewed China’s AI ambitions as more focused on applications of the technology.
Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., issued an advanced research concepts opportunity earlier this month (DARPA-EA-25–02-02) for the Hybridizing Biology and Robotics through Integration for Deployable Systems (HyBRIDS) program.
Bio-hybrid robotics
Bio-hybrid robotics combines living organisms and synthetic materials to create biorobots that compared to traditional robots can offer adaptability, self-healing, and energy efficiency.
Building a robot takes boatloads of technical skills, a whole lot of time, the right materials, of course – and maybe a little bit of organic life, maybe? Decades of science fiction have shaped our ideas of robots being non-biological entities. Think of batteries as the hearts, metal as the bones, and gears, pistons, and
