Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

Many AI initiatives fail not because of poor technology but because organizations lack shared definitions, context and ...

Computers have made it easier than ever before to design the perfect material for a given problem: Scientists can create a virtual version and simulate how that material will behave. Building these ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Risk-based strategies are superior to the U.S. Preventive Services Task Force (USPSTF) criteria for optimizing efficiency and ...

The result is correct but challenges core norms of mathematics: checking proofs, crediting ideas and keeping research open to everyone.

GenAI’s breakthrough in mathematics offers a lesson for medicine: solving healthcare’s biggest problems means questioning old ...

OpenAI's GPT-5.6 Sol advanced another step toward general availability on July 6 when an OpenAI Codex engineer publicly confirmed that Sol Ultra — the model's highest-compute tier — would ship inside ...

A new computer model developed by US researchers could reduce the amount of material for bridges and buildings by up to 90 percent and make future structures far more efficient. The approach was ...