The US AI research company Anthropic has become known for building powerful AI models while simultaneously warning about ...

Abstract: This article considers the problem of target detection for applications with limited training samples. Dimensionality reduction in the angle-Doppler domain is considered. An algorithm for ...

British mathematician Jack Good coined the term “intelligence explosion” 61 years ago to describe what would happen when an intelligent machine entered a runaway cycle of fully automated ...

Recursion Pharmaceuticals is trying to solve a serious problem. Even with technological improvements, the time and costs required to develop brand-new drugs have increased in recent decades. It can ...

Abstract: Cooperative co-evolution (CC) is an efficient and practical evolutionary framework for solving large-scale optimization problems. The performance of CC is affected by the variable ...

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 ...

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 ...

Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help scientists uncover hidden causes behind observable effects. By introducing ...

Penn Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly challenging class of mathematical problems with broad implications for ...

Great. Thanks, everyone, for joining. My name is Scott Schoenhaus. I am the health care tech equity analyst here at KeyBanc. We're a pleasure to have Ben Taylor, CFO of Recursion for a fireside chat.

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 ...