Stanford researchers will discuss their agentic 'scientists' that are on course to reshape drug discovery at VB Transform 2026

Drug discovery is notoriously inefficient. Pharmaceutical projects span years, moving from one specialized human team to the next through disconnected workflows that result in knowledge loss during ea [...]

'This is no longer science fiction, this is reality': The future of shipping could be the world’s smartest sticky label

Samsara’s new single-use, Bluetooth-enabled sticky label could help solve shipping woes for everyone. [...]

Anthropic is launching an AI research workbench to consolidate scientific tools

Claude Science connects more than 60 databases and tools in one environment, running on existing Claude models with no specialized biology training [...]

A 10-year sky survey begins filming a 'cosmic movie,' cyborg cockroaches go for a dive and more science stories

This week's science news. [...]

I tested the Ninja AutoBarista Pro, and its smart Grind iQ feature demystifies grind settings so you don’t have to master coffee science for a decent latte

Grind iQ Technology in the Ninja AutoBarista Pro eliminates the need for guesswork when it comes to the perfect grind size for your particular beans. [...]

Build for the new AI era with Microsoft and NVIDIA

Presented by Microsoft and NVIDIAEvery generation of leaders has its own business transformation challenges to face. A decade ago, modernization meant cloud migration. Five years ago, it meant enablin [...]

Enterprises using multiple AI models are underestimating failure rates by 2.25x

A team routing queries across a coding specialist, a logic specialist, and a generalist model assumes each will cover the others' blind spots. A new study evaluating 67 frontier models from 21 pr [...]

What Watching a Soccer Final Does to Your Body, According to Science

A recent study tracked hundreds of soccer fans until their favorite team reached the final of a tournament. Their stress levels skyrocketed, and their heart rates jumped too. [...]

Google's TabFM skips per-dataset training and still predicts on tables it's never seen

The vast majority of business data is tabular — living in data warehouses, CRMs, and financial ledgers — yet building a reliable model from it still means training a new one from scratch for every [...]