Gov. Wes Moore (D), who calls quantum computing a “lighthouse industry” for Maryland, has secured more than $1 billion in funding to help create a local industry hub.
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Los Alamos Forms Quantum Computing-Focused Research Center
PRESS RELEASE — Los Alamos National Laboratory has formed the Center for Quantum Computing, which will bring together the Lab’s diverse quantum computing research capabilities. Headquartered in downtown Los Alamos, the Center for Quantum Computing will consolidate the Laboratory’s expertise in national security applications, quantum algorithms, quantum computer science and workforce development in a shared research space.
“This new center of excellence will bring together the Laboratory’s quantum computing research capabilities that support Department of Energy, Defense and New Mexico state initiatives to achieve a critical mass of expertise greater than the individual parts,” said Mark Chadwick, associate Laboratory director for Simulation, Computing and Theory. “This development highlights our commitment to supporting the next generation of U.S. scientific and technological innovation in quantum computing, especially as the technology can support key Los Alamos missions.”
The center will bring together as many as three dozen quantum researchers from across the Lab. The center’s formation occurs at a pivotal time for the development of quantum computing, as Lab researchers partner with private industry and on a number of state and federal quantum computing initiatives to bring this high-priority technology closer to fruition. Laboratory researchers may include those working with the DARPA Quantum Benchmarking Initiative, the DOE’s Quantum Science Center, the National Nuclear Security Administration Advanced Simulation and Computing program’s Beyond Moore’s Law project, and multiple Laboratory Directed Research and Development projects.
Why the Multiverse Is Real | Leonard Susskind
The multiverse is often dismissed as speculation — a science-fiction idea with no place in serious physics. But for many theoretical physicists, the multiverse is not a fantasy. It is a conclusion.
In this video, we explore why the multiverse may be real.
This is not an argument based on imagination or popularity. It is based on what happens when modern physics is taken seriously. Well-tested ideas like cosmic inflation, quantum mechanics, and high-energy theory naturally lead to a picture in which our universe is not unique.
Drawing on ideas associated with Leonard Susskind, this documentary explains how the multiverse emerges as a consequence, not as an assumption. In inflationary models, different regions of space stop inflating at different times, producing universes with different properties. In theories with many possible vacuum states, the laws of physics themselves can vary from one region to another.
This framework helps explain one of the deepest puzzles in physics: fine-tuning. The constants of nature appear precisely adjusted for the existence of complex structures and life. In a single-universe picture, this looks mysterious. In a multiverse, it becomes a selection effect — we observe this universe because only certain universes can be observed at all.
The multiverse raises uncomfortable questions. It challenges prediction, explanation, and even the traditional goals of science. But discomfort is not a reason to reject a theory. If the multiverse is real, physics must adapt.
New type of magnetism discovered in 2D materials to help store data
Researchers have discovered a new type of magnetism in 2D materials that can help store data.
The team led by researchers from the University of Stuttgart experimentally demonstrated the previously unknown form of magnetism in atomically thin material layers.
Researchers revealed that the discovery is highly relevant for future magnetic data storage technologies and advances the fundamental understanding of magnetic interactions in two-dimensional systems.
Planes grounded as extreme solar radiation hits essential flight controls. 6,000 jets affected
The A320 involved suffered a flight-control issue that caused a sudden drop in altitude, leaving some passengers with non-life-threatening injuries. During the investigation, a vulnerability to solar flares emerged.
As the aviation industry grows more automated and electronics-dependent, understanding space-weather threats is increasingly vital.
Recent NASA studies suggest that space weather is becoming more intense and frequent, with the Sun currently in a stronger-than-expected activity cycle (solar cycle 25) and potentially entering a period of elevated activity that could last decades.
AGI Is Here: AI Legend Peter Norvig on Why it Doesn’t Matter Anymore
Are we chasing the wrong goal with Artificial General Intelligence, and missing the breakthroughs that matter now?
On this episode of Digital Disruption, we’re joined by former research director at Google and AI legend, Peter Norvig.
Peter is an American computer scientist and a Distinguished Education Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). He is also a researcher at Google, where he previously served as Director of Research and led the company’s core search algorithms group. Before joining Google, Norvig headed NASA Ames Research Center’s Computational Sciences Division, where he served as NASA’s senior computer scientist and received the NASA Exceptional Achievement Award in 2001.He is best known as the co-author, alongside Stuart J. Russell, of Artificial Intelligence: A Modern Approach — the world’s most widely used textbook in the field of artificial intelligence.
Peter sits down with Geoff to separate facts from fiction about where AI is really headed. He explains why the hype around Artificial General Intelligence (AGI) misses the point, how today’s models are already “general,” and what truly matters most: making AI safer, more reliable, and human-centered. He discusses the rapid evolution of generative models, the risks of misinformation, AI safety, open-source regulation, and the balance between democratizing AI and containing powerful systems. This conversation explores the impact of AI on jobs, education, cybersecurity, and global inequality, and how organizations can adapt, not by chasing hype, but by aligning AI to business and societal goals. If you want to understand where AI actually stands, beyond the headlines, this is the conversation you need to hear.
In this episode:
00:00 Intro.
01:00 How AI evolved since Artificial Intelligence: A Modern Approach.
03:00 Is AGI already here? Norvig’s take on general intelligence.
06:00 The surprising progress in large language models.
08:00 Evolution vs. revolution.
10:00 Making AI safer and more reliable.
12:00 Lessons from social media and unintended consequences.
15:00 The real AI risks: misinformation and misuse.
18:00 Inside Stanford’s Human-Centered AI Institute.
20:00 Regulation, policy, and the role of government.
22:00 Why AI may need an Underwriters Laboratory moment.
24:00 Will there be one “winner” in the AI race?
26:00 The open-source dilemma: freedom vs. safety.
28:00 Can AI improve cybersecurity more than it harms it?
30:00 “Teach Yourself Programming in 10 Years” in the AI age.
33:00 The speed paradox: learning vs. automation.
36:00 How AI might (finally) change productivity.
38:00 Global economics, China, and leapfrog technologies.
42:00 The job market: faster disruption and inequality.
45:00 The social safety net and future of full-time work.
48:00 Winners, losers, and redistributing value in the AI era.
50:00 How CEOs should really approach AI strategy.
52:00 Why hiring a “PhD in AI” isn’t the answer.
54:00 The democratization of AI for small businesses.
56:00 The future of IT and enterprise functions.
57:00 Advice for staying relevant as a technologist.
59:00 A realistic optimism for AI’s future.
#ai #agi #humancenteredai #futureofwork #aiethics #innovation.
AI expert warns we’re close to extinction
Connor Leahy discusses the motivations of AGI corporations, how modern AI is “grown”, the need for a science of intelligence, the effects of AI on work, the radical implications of superintelligence, and what you might be able to do about all of this. https://www.thecompendium.ai 00:00 The AI Race 02:14 CEOs Lying 04:02 The Entente Strategy 06:12 AI is grown, not built 07:39 Jobs 10:47 Alignment 14:25 What should you do? Original Podcast: • Connor Leahy on Why Humanity Risks Extinct… Editing: https://zeino.tv/