Engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption....
For decades scientists have been trying to solve Feynman's Sprinkler Problem: How does a sprinkler running in reverse work? Through a series of experiments, a team of mathematicians has figured out how flowing fluids exert forces and move structures, thereby revealing the answer to this...
Mathematics, histopathology and genomics converge to confirm that the most aggressive clear cell renal cell carcinomas display low levels of intratumour heterogeneity, i.e. they contain fewer distinct cell types. The study supports the hypothesis that it would be advisable to apply therapeutic...
Biological materials are made of individual components, including tiny motors that convert fuel into motion. This creates patterns of movement, and the material shapes itself with coherent flows by constant consumption of energy. Such continuously driven materials are called 'active matter'. The...
A team of researchers looked back at a model that predicted nuclear power would expand dramatically in order to assess the efficacy of energy policies implemented today....
Researchers combined physics and machine learning to develop a new 3D-printing technique that can quickly create complex physical patterns -- including replicating a segment of a Pollock painting -- by leveraging the same natural fluid instability that Pollock used in his work....
Applying machine learning to find the properties of atomic pieces of geometry shows how AI has the power to accelerate discoveries in maths....
A research team has provided irrefutable proof that certain spherical vortices exist in a stable state....
New research has used machine learning to find the properties of atomic pieces of geometry, in pioneering work that could drive the development of new results in mathematics....
Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected....
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