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Cambridge-born DeepTech company BeyondMath, which has developed a first-of-its-kind generative physics model, has closed a $10 million Seed round extension led by Cambridge Innovation Capital, ...
Morning Overview on MSN
Is time even real? Radical new physics quietly says maybe not
A growing body of theoretical and experimental work in physics is converging on a striking possibility: time, the dimension humans experience as a constant forward flow, may not be a fundamental ...
In humans, chronic high blood pressure forces the heart to work too hard. The muscle of the left ventricle thickens in defense, a condition called hypertrophy. Eventually, this leads to fibrosis, ...
A physicist proposes that the universe is not empty space, but is a viscous fluid, fueling the expansion and contraction we see.
Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
They ask us to believe, for example, that the world we experience is fundamentally divided from the subatomic realm it’s built from. Or that there is a wild proliferation of parallel universes, or ...
The currents of the oceans, the roiling surface of the sun and the clouds of smoke billowing off a forest fire—all are governed by the same laws of physics, and give rise to a complex phenomenon known ...
The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in the planetary atmosphere. This phenomenon is governed by the Navier-Stokes ...
Dive into fluid dynamics with **“Quadratic Drag In Vertical Motion | Classical Mechanics Explained.”** In this video, we explore how quadratic air resistance affects objects moving vertically, ...
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. The Starry Night, June 1889 (Photo by Art Images via Getty Images) It’s said that life can ...
Abstract: This work presents a comparative study on the use of Physics-Informed Neural Networks (PINNs) combined with the Lattice Boltzmann Method (LBM) for solving direct and inverse problems in ...
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