High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...
Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Rubrik Inc. (NYSE:RBRK) is among the best machine learning stocks to buy according to analysts. On February 9, Goldman Sachs cut its price target on Rubrik by one-third to $80 from $120 while ...
AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...
A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in ...
Abstract: The development in machine learning (ML) technology has brought new horizons for the prediction of subglacial lakes (SLs) using radio-echo sounding (RES) data, offering fresh perspectives ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
Abstract: This study considers the use of machine learning techniques to predict kidney disease and its progression, given a rich dataset that includes clinical and demographic features. compared with ...
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