Cathie Wood's Ark Genomic Revolution ETF owns $50 million worth of Recursion Pharmaceuticals stock.
How Recursion is leading a new era of AI-driven drug discovery AI drug discovery is not a new phenomenon – but it is evolving at an almost dizzying pace. Recursion is one of the earliest innovators in ...
Sixtyfour CEO Saarth Shah explains how his company built AI research agents around rigorous evaluation systems rather than language model fluency, creating verification infrastructure that proves ...
AI is driving a full-stack infrastructure boom, reshaping energy, chips, cloud, and software—creating broad, distributed ...
The US AI research company Anthropic has become known for building powerful AI models while simultaneously warning about ...
The narrative that RAG is dead has been repeated by enough credible voices that many engineering leaders have started to ...
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 ...
Everyone is racing to point powerful AI models at drug discovery. A growing camp argues the real prize is the layer beneath the models — the connected biological knowledge they reason over — and that ...
AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...
One of the key challenges of current multi-agent AI systems is that they communicate by generating and sharing text sequences, which introduces latency, drives up token costs, and makes it difficult ...
Abstract: JavaScript has significantly evolved, broadening its capabilities. However, the uptake of tail call optimization (TCO) remains limited, largely due to concerns about debugging difficulties ...
A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...