Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and ...
Abstract: This article considers the point-to-point tracking control problem for a class of unknown nonlinear discrete-time systems with output saturation. A novel data-driven finite-iteration ...
After 12 years leading Utah-based techbio company Recursion, CEO Chris Gibson is stepping down. Recursion’s R&D head and Chief Commercial Officer Najat Khan will become CEO effective Jan. 1. Gibson co ...
The Recursive Division Tree (RDT) algorithm is a mathematical process for measuring the logarithmic height of positive integers. For any integer ( n \ge 2 ), it recursively divides by logarithm-based ...
The human faculty to generate an infinite set of structured expressions in language, present in most cultures and normal ontogeny, is the most substantial evidence of the human capacity for recursion.
So, you want to get good at LeetCode, especially using Java? It’s a common goal for a lot of us trying to land those tech jobs. This guide is all about helping you get there. We’ll go over how to ...
Boltz-2 is an open-source biomolecular model achieving near-FEP accuracy with 1000x faster predictions for structure and binding affinity. MIT and Recursion have released Boltz-2, the first ...
Evidently in the mood for some spring cleaning, Salt Lake City’s Recursion is clearing out a chunk of its pipeline as it narrows its focus on R&D in oncology and rare diseases. The move comes roughly ...
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 ...
Recursion, a clinical-stage TechBio company, is set to present preliminary data from its Phase 1b/2 clinical trial, TUPELO, at the 2025 Digestive Disease Week (DDW) meeting on May 4, 2025, in San ...
Recursive Bayesian inference, in which posterior beliefs are updated in light of accumulating data, is a tool for implementing Bayesian models in applications with streaming and/or very large data ...