Allison DeAngelis is the East Coast biotech and venture capital reporter at STAT, reporting where scientific ideas and money meet. She is also co-host of the weekly biotech podcast, The Readout Loud.
BioMedWire Editorial Coverage: The ability to accurately detect drug and alcohol intoxication has long been a persistent challenge across industries, from law enforcement and workplace safety to ...
Recursion Pharmaceuticals, Inc. remains a Hold as competitive risks persist and the company is years away from meaningful pipeline revenue. RXRX's AI-driven Recursion OS platform shows strong ...
According to @_avichawla on Twitter, MIT researchers detail Recursive LLMs that call themselves to decompose tasks, verify intermediate steps, and iterate until convergence; as reported by MIT CSAIL ...
If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...
Forbes contributors publish independent expert analyses and insights. John Sviokla covers GenAI/AI's impact on commerce and society. This voice experience is generated by AI. Learn more. This voice ...
Anil Oza is a general assignment reporter at STAT focused on the NIH and health equity. You can reach him on Signal at aniloza.16. Several years ago, nephrologists attempted a first-of-its-kind effort ...
Abstract: The short packet transmission (SPT) has gained much attention in recent years. In SPT, the most significant characteristic is that the finite blocklength code (FBC) is adopted. With FBC, the ...
What if you could save hours on your Excel tasks while uncovering insights hidden deep within your data? My Online Training Hub explains how modern Excel functions are transforming data analysis in ...
Abstract: Adaptive filters, constrained by a linear filtering framework, often struggle with nonlinear modeling in complex processes. Kernel adaptive filters (KAFs) offer a promising solution by ...
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