The potential for solving problems in climate, oceans, the biosphere, and the biology of disease is vast, writes Celine ...

Burdened by rising costs from labs like OpenAI and Anthropic, U.S. companies have begun to shift to Chinese models in a ...

Real-world testing is expensive, slow, and difficult to reproduce. For a robot’s performance in the real world to be ...

Faster and more effective ways to treat Pseudomonas aeruginosa, a bacterium identified by the World Health Organization (WHO) ...

Booz Allen CTO Bill Vass explains why the firm recently joined the Alliance for OpenUSD and its plans for a 3D repository. An ...

Robots walking down the street, surrounded by astounded onlookers, are an increasingly common sight. But these machines ...

Virtual testing identifies defects in thermoset components before expensive mold fabrication begins, reducing material waste.

Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains.

NASA and Rice University launch an open-source simulator that lets researchers develop and test spacecraft robots in a ...

Computational Modelling and Simulation (CM&S) is a powerful tool. When applied well, with the right questions and inputs, it ...

pathmc is a Python package for Bayesian path analysis and structural causal modeling. You write your causal assumptions as a small set of structural equations in a lavaan-inspired formula language, ...

In times past, when we wanted to know which team would win the World Cup, we had to turn to seers with crystal balls, use divination via tea leaves, or hope for Paul the Octopus to tell us what would ...