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Physics-trained AI models speed engineering design and simulations
When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned to AI models trained not just on data but on the fundamental equations of ...
Modern neuroscience has transitioned from small-scale manual observations to a data-intensive field powered by computational innovation. Traditionally ...
A complete pipeline that can run on a single workstation to train a humanoid robot to walk over rough terrain.
Genie Sim 3.0 integrates 3D reconstruction, visual generation, and physics engines to enable faster sim-to-real transfer.
Current AGI research focuses heavily on scaling these foundation models and enhancing specific agent capabilities, such as complex reasoning and coding. However, despite this progress, even the most ...
What governs the speed at which raindrops fall, sediment settles in river estuaries, and matter is ejected during a supernova? These questions circle around one, deceitfully simple factor: the rate at ...
A simulated cell in the early stages of division. Left half shows cytoplasm (blue cubes), mRNA degradation machinery molecules (pink), and sugar transporters (brown). Right half adds the membrane ...
The team simulated a living cell at nanoscale resolution and recapitulated how every molecule within that cell behaved over the course of a full cell cycle. The work took many years: vast computer ...
A.I. pioneer Fei-Fei Li is lending her support to Simile’s effort to simulate human behavior at scale. John Nacion/Variety via Getty Images Every three months, public companies brace for analyst ...
People often blame social media algorithms that prioritize extreme content for increasing political polarization, but this effect has been difficult to prove. Only the platform owners have access to ...
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