They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces ...
Design engineers can use AI-driven simulation to overcome bottlenecks and accelerate materials discovery with hybrid workflow ...
The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...
Simulating surgery to help people see ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces into which many will eventually be put to work. The company argues that a ...
At Mobile World Congress 2026, Keysight Technologies will demonstrate how it is accelerating the future of connected intelligence with agentic AI and ...
2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...
Key TakeawaysDigital twins are ultra-accurate computer-based simulations of complex physical systems used for exploring "what ...
Lack of access to fair lending keeps Black families from thriving, write Empower Federal Credit Union leaders.
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'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images
Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
Torc, a pioneer in self-driving vehicle technology, today announced the expansion of its autonomous truck testing operations to public roads in Michigan using the latest-generation Daimler Truck ...
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