The NESC developed several innovative tools and techniques during an assessment to find the root cause of poor tensile ...

Karpathy's 'autoresearch' agent did not improve its own code, but it points towards systems that could as well as towards way ...

What to expect from a marketing analyst in 2026, how the market has changed, and what does AI have to do with it?

New Opentrons AI capability lets scientists simulate and visually inspect automated laboratory experiments before robots execute them.

Python is now one of the fastest-growing programming languages being used globally and supports machine-learning-based ...

Amazon Web Services has introduced Strands Labs, a new GitHub organization created to host experimental projects related to agent-based AI development.

Background/aims Posterior capsule opacification (PCO) is the most frequent long-term complication after cataract surgery, ...

Gabriel Gomes believes the future of chemistry is as much about flasks and fume hoods as it is about code. A chemical engineer at Carnegie Mellon University, Gomes works at the intersection of ...

Abstract: Normal mixture models are widely used to represent data arising from latent subpopulations. We propose a Design-of-Experiments (DOE) and Response Surface Methodology (RSM) framework to ...

bead implements a complete pipeline for linguistic research: from lexical resource construction through experimental deployment to model training with active learning. It handles the combinatorial ...

I try to download the trajectories from tools in SWE-bench Multimodal, but I got access denied. (swebench) mac1@eduroam-int-dhcp-97-9-146 experiments % python -m ...