In the 20th-century statistics wars, Bayesians were underdogs. Now their methods may help speed treatments to market.

Concr CEO Irina Babina and CTO Matthew Griffiths unpack how Bayesian foundation models can excel at uncertainty management to ...

AI-driven material development and new additive manufacturing technology are accelerating new aluminum alloy, battery, and material processing innovations.

As spring training gets underway, fans across Major League Baseball are tuning in to watch their favorite teams prepare for ...

Background Data-sharing mandates from funders and journals have increased in recent years, but little is known about how shared data are used. Existing research has focused on access frameworks, with ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Alicia Collymore discusses the critical role of cultural alignment in building high-performing engineering teams. She explains how to move beyond "vibes" by identifying specific attributes in company ...

Scientists at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a new way to determine atomic structures from nanocrystals previously considered unusable, ...

A new study reveals how different synthesis methods can profoundly impact the structure and function of high entropy oxides, a class of materials with applications in everyday electronic devices. A ...