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AI method accelerates liquid simulations by learning fundamental physical relationships
Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...
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Researchers built an AI that runs climate simulations about 25 times faster by fusing physics with machine learning
Researchers at the University of California San Diego and the Allen Institute for AI have built a climate emulator that ...
The TITO AI model learns to fast-forward in time at a faster rate than conventional numerical simulations, enabling researchers to characterise the physical properties of molecules more quickly. The ...
Simulating the nonlinear optical physics that underlies ultrafast laser systems is computationally demanding—a practical bottleneck in settings that require rapid feedback. A study by researchers at ...
Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
A new AI model has become so good at predicting how molecules evolve over time that, in the future, it could speed up the costly and time-consuming process of testing new drugs. In the long term, this ...
After the deal closes, expected in the fourth quarter of this year, Altaris plans to combine Simulations Plus with its existing portfolio company, Chemical Computing Group, which ...
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