On July 4, 2026, Vitalik Buterin published the most consequential Ethereum protocol document in four years: an updated "Lean Ethereum" strawmap that commits the world's second-largest blockchain to ...

Researchers have developed new algorithms to enhance the reliability of data center networks (DCNs) by constructing fault-tolerant paths and maximum ...

Recursion is building an industrialized engine for medicine. It operates among biotech stocks, selling access to its proprietary platform and pursuing joint development with major partners like Roche ...

Recursive Superintelligence Inc., a startup that hopes to develop self-improving artificial intelligence models, launched today with $650 million in funding. Alphabet Inc.’s GV fund and Greycroft led ...

Earnings call Recursion Pharmaceuticals delivered strong operational progress with a 30% YoY reduction in operating expenses and an extended cash runway into early 2028. Clinical momentum was ...

When I last covered the self-styled TechBio company Recursion Pharmaceuticals, Inc. (RXRX) in early October, I was attempting to find reasons why the company's share price was on the rise, up from ~$4 ...

Andrew covers the biopharma industry, scientific research, and public health across the continent. You can reach Andrew confidentially on Signal at drewqjoseph.71. LONDON — In the year-plus since ...

This post may contain links from our sponsors and affiliates, and Flywheel Publishing may receive compensation for actions taken through them. Indeed, Nvidia tends to play the long game with its ...

Evidently in the mood for some spring cleaning, Salt Lake City’s Recursion is clearing out a chunk of its pipeline as it narrows its focus on R&D in oncology and rare diseases. The move comes roughly ...

The Nature Index 2026 Research Leaders reveal the leading institutions and countries/territories in the natural sciences, health sciences, applied sciences and social sciences, according to their ...

Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...