By 2050, scientists estimate that antibiotic-resistant infections will be associated with more than 8 million deaths around ...

Many of the boulders scattered across the Swiss landscape did not originate where they now stand. Instead, they were carried ...

A U.S. company has launched the first system to test hypersonic vehicle materials against real weather before flight at ...

The question of how gravity interacts with the quantum world has long perplexed physicists, but a non-quantum theory of space ...

Free interactive tool uses particle physics-inspired Burkeanomics to predict prosperity impacts from policies in the ...

Abstract: A novel meshless electromagnetic (EM) simulation framework based on Physics-Informed Neural Networks (PINNs), enhanced by the integration of Kolmogorov–Arnold Networks (KANs) is presented.

Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...

In a significant step towards strengthening India's future defence and security talent pool, Thakur College of Science and ...

A curated awesome list of papers, benchmarks, datasets, and systems for spatial reasoning, planning-oriented simulation, and simulation-ready 3D scene generation for embodied AI. - ...

This list is about spatial intelligence for usable worlds, not just pretty renders. It prioritizes work that builds or uses structured spatial state: objects, geometry, relations, affordances, ...

Abstract: We present a sampling-based model predictive control method that uses a generic physics simulator as the dynamical model. In particular, we propose a Model Predictive Path Integral ...

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