Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine.

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Despite widespread industry recommendations, a new ETH Zurich paper concludes that AGENTS.md files may often hinder AI coding agents. The researchers recommend omitting LLM-generated context files ...

Type 1 diabetes (T1D) is an autoimmune condition in which the body's own immune system attacks insulin-producing cells. As a ...

Abstract: This article presents a method for generating accurate and efficient macromodels of high-speed input/output (I/O) buffers. Extending existing techniques, the proposed approach enables a ...

Oslo, Norway, 09 March 2026 - Zelluna (OSE: ZLNA), a company pioneering allogeneic "off-the-shelf" T Cell Receptor-based Natural Killer (TCR-NK) cell therapies for the treatment of solid cancers, toda ...

Zelluna (OSE: ZLNA), a company pioneering allogeneic 'off-the-shelf' T Cell Receptor-based Natural Killer (TCR-NK) cell ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

Cognitive Intelligence Platforms (CIPs) represent the convergence of AI, ML, NLP, and advanced analytics into unified enterprise ...

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...