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 ...

Abstract: A simple and reliable algorithm for collision avoidance maneuvers (CAMs), capable of computing impulsive, multi-impulsive, and low-thrust maneuvers, is proposed. The probability of collision ...

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 ...

This structure makes the system flexible, recursive, and dependency-aware — capable of decomposing complex problems into smaller steps while ensuring results are integrated coherently. Click to view ...

Multi-channel sensor data often suffer from missing or corrupted values due to sensor failures, communication disruptions, or environmental interference. These issues severely limit the accuracy of ...

Abstract: Differential dynamic programming (DDP) is a widely used trajectory optimization technique that addresses nonlinear optimal control problems, and can readily handle nonlinear cost functions.

Welcome everybody to Recursion's Earnings Call. I'm Chris Gibson, Co-Founder and CEO, and I'm excited to take you through Recursions 2024, 2025 and the time ahead. So with that we'll jump into the ...

Los Angeles—Artificial intelligence (AI)-based drug discovery continues to tout accelerated timelines and novel and effective treatments, yet today’s clinical success rates remain at a low 10%. On ...

The stack is a section of memory set aside to handle dynamic data. Think of it as a temporary workspace where data can be stored and retrieved efficiently during a program's execution. It follows the ...

The artificial intelligence (AI) revolution continues to tout developing drugs faster and at lower cost, but are we there yet? On October 2nd, the FDA cleared an investigational new drug (IND) ...