LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...

The Supreme Court’s ruling on Roundup shows science and law use the same word — causation — while asking different questions, ...

In 2026, neural network research is shifting from opaque pattern recognition toward models that can reason about cause and effect. Advances in GPT‑5’s workflow reasoning, DeepMind’s causal ...

Physicists are making new inroads into the world of post-quantum theories, uncovering what reality may look like on a level deeper and stranger than the already infamously odd quantum theory. In the ...

A couple of seminal studies published almost 20 years ago found that conservationists needed to start examining whether their actions were actually causing the desired effects. Assessing conservation ...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Study of 11,000 births in New Hampshire shows residents’ reproductive outcomes near contaminated sites Drinking water contaminated with Pfas chemicals probably increases the risk of infant mortality ...

The apartment building owner told plaintiff "to take the flag down pursuant to a policy that the building would stay 'neutral' amidst the Israel-Palestine conflict." Some short excerpts from yesterday ...

People have been getting drunk for millennia. Historical records show that alcohol was an integral part of many early civilizations, from ancient Mesopotamia and Egypt to ancient Greece, China, and ...

Classical machine learning (ML) is remarkably effective at finding patterns and associations in data. It can spot correlations that escape human eyes and minds. Yet the technology suffers from a ...