A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Now, Takahito Iida at the University of Osaka has proposed a new energy-harvesting technology that uses gyroscopic flywheel system that can be tuned to absorb energy efficiently over a broad range of ...
Researchers have long been puzzled by the observed cooling of the eastern tropical Pacific and the Southern Ocean ...
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A 'physical' warp drive model reopens the door to star travel
According to Dr. Jared Fuchs, the world has turned the discussion of warp drives, and it is changing the tone of the ...
Astronomers have puzzled for years over a strange pattern in the outer solar system. A surprising number of icy bodies far beyond Neptune resemble snowmen, made of two rounded lobes stuck together.
Out in the Kuiper Belt, the massive doughnut of debris beyond Neptune, about one in 10 kilometer-scale objects have surprised scientists with their unexpected shape. Rather than resembling a ball, ...
Understanding what complex chemical measurements reveal about materials and reactions can take weeks or months of analysis. But now, an AI-powered platform developed by researchers at the Department ...
LOS ANGELES, Feb. 6, 2026 /PRNewswire/ -- Modern physics relies on "Dark Energy," "Dark Matter," and over 20 arbitrary tuning parameters to explain the universe. A comprehensive AI-driven audit ...
In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic rays—particles arriving at high speed from outer space. Anderson built an improved ...
In July 2012, physicists at the Large Hadron Collider (LHC) in Europe triumphantly announced the discovery of the Higgs boson, the long-sought linchpin of the subatomic world. Interacting with Higgs ...
The robotics company behind the Neo humanoid robot, 1X, has unveiled a new AI model that it says understands the dynamics of the real world and can help bots learn new information on their own. This ...
Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...
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