The Nobel Physics Prize was awarded on Tuesday to three scientists for their work on attoseconds, which are almost unimaginably short periods of time.
Their work using lasers gives scientists a tool to observe and possibly even manipulate electrons, which could spur breakthroughs in fields such as electronics and chemistry, experts told AFP.
Attoseconds are a billionth of a billionth of a second.
The universe is expanding, but why? Dark Energy might be the key in solving this mystery.
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The Impact of chatGPT and other large language models on physics research and education (2023)
Event organizers: Kevin Burdge, Joshua Borrow, Mark Vogelsberger.
Session 3: “The use of large language models in teaching/administration”
Capstone talk: “LLMs for Physics, and Physics for LLMs“
Speaker: Dr Stephen Wolfram (Wolfram Research)
Physicists at the National Ignition Facility are learning how to better control crushingly violent “shots”.
The surprising detection of light 200 times more powerful than previous observations from the nearby pulsar Vela indicates hidden physics around dead stars.
Hurricane Lee wasn’t bothering anyone in early September, churning far out at sea somewhere between Africa and North America. A wall of high pressure stood in its westward path, poised to deflect the storm away from Florida and in a grand arc northeast. Heading where, exactly? It was 10 days out from the earliest possible landfall—eons in weather forecasting—but meteorologists at the European Centre for Medium-Range Weather Forecasts, or ECMWF, were watching closely. The tiniest uncertainties could make the difference between a rainy day in Scotland or serious trouble for the US Northeast.
Typically, weather forecasters would rely on models of atmospheric physics to make that call. This time, they had another tool: a new generation of AI-based weather models developed by chipmaker Nvidia, Chinese tech giant Huawei, and Google’s AI unit DeepMind.
Scientists may have made a major breakthrough in the quest to produce limitless energy. According to a new study published in the journal American Chemical Society, scientists are looking deeper at a molecule known as azulene, which is a blue-light emitting molecule that seems to flout the fundamental rules of photochemistry.
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Posted in education, physics, robotics/AI
The more physicists use artificial intelligence and machine learning, the more important it becomes for them to understand why the technology works and when it fails.
The advent of ChatGPT, Bard, and other large language models (LLM) has naturally excited everybody, including the entire physics community. There are many evolving questions for physicists about LLMs in particular and artificial intelligence (AI) in general. What do these stupendous developments in large-data technology mean for physics? How can they be incorporated in physics? What will be the role of machine learning (ML) itself in the process of physics discovery?
Before I explore the implications of those questions, I should point out there is no doubt that AI and ML will become integral parts of physics research and education. Even so, similar to the role of AI in human society, we do not know how this new and rapidly evolving technology will affect physics in the long run, just as our predecessors did not know how transistors or computers would affect physics when the technologies were being developed in the early 1950s. What we do know is that the impact of AI/ML on physics will be profound and ever evolving as the technology develops.
If you’ve been watching the recent UAP reporting or the US Congressional Committee Hearing on UAP, you already know that we have military and civilian pilot eyewitness accounts in volume, as well as footage of incidents like the “tic-tac” live sighting in 2004. There are many more incidents whose video recordings are still classified and not yet available to the public. There are reports and testimony from career Navy and Air Force officials who’ve reported similar sightings. Comments such as the one made by Cmdr. David Fravor (Ret), made after the 2004 incident are common among experienced military pilots.
We don’t have the kind of physics understanding, now or back then, that would allow us the ability to do what we’re seeing these UAP do. — US Navy Cmdr. David Fravor (Ret)
