The companies at the frontier of artificial intelligence should be ready to slow down, one of the fastest-moving among them says. Anthropic, the maker of the Claude chatbot, has claimed AI systems may ...

Good morning, everyone, and thank you so much for joining us. I want to start by briefly framing where Recursion is today and its journey and evolution. Over the past decade, Recursion has built ...

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 ...

Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

Company shares partnership and clinical updates including $7 million Sanofi milestone and more information on patient populations for REC-1245 (RBM39) and REC-617 (CDK7) SALT LAKE CITY, Aug. 05, 2025 ...

Recursion said it will end development for four of its 11 pipeline programs—one of which the company will consider outlicensing to a partner instead—and pause a fifth program, in a pruning designed to ...

Najat Khan, PhD, Recursion Pharmaceuticals chief R&D officer and chief commercial officer With at least seven of its programs expected to begin human trials or read out clinical data during 2025, ...

Algorithms have taken on an almost mythical significance in the modern world. They determine what you see on social media and when browsing online, help form people’s belief systems, and impact the ...

Abstract: In recent years, adaptive filtering algorithms based on M-estimation can effectively handle non-Gaussian noise, but large outliers still exist which will seriously disrupt the performance of ...

Training spiking recurrent neural networks on neuronal recordings or behavioral tasks has become a popular way to study computations performed by the nervous system. As the size and complexity of ...