Using ultracold atoms and laser light, researchers recreated the behavior of a Josephson junction—an essential component of ...
In the past year, two separate experiments in two different materials captured the same confounding scenario: the coexistence ...
Proven methods for teaching the readers who struggle most have been known for decades. Why do we often fail to use them?
Morning Overview on MSN
Warp drive isn’t sci-fi now: here’s the math that changes everything
Warp drive has quietly shifted from pure fantasy to a live topic in serious physics, with new models showing how spacetime ...
Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
The Daily Overview on MSNOpinion
Brian Cox calls a new quantum gravity paper exhilarating to read
Physicist Brian Cox has rarely been shy about his enthusiasm for big, difficult ideas, but his reaction to a recent quantum ...
Define the Standard Model gauge group to be S ( U ( 2) × U ( 3)), the subgroup of SU ( 5) consisting of block diagonal matrices with a 2 × 2 block and then a 3 × 3 block. (This is isomorphic to the ...
TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...
The same pulling force that causes “tears” in a glass of wine also shapes embryos. It’s another example of how genes exploit mechanical forces for growth and development. Sip a glass of wine, and you ...
Lyft Inc. is partnering with autonomous vehicle developer Tensor Auto Inc. to deploy a fleet of hundreds of robotaxis in Europe and North America starting in 2027. The ride-hailing company will ...
Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...
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