Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...

The rapid adoption of artificial intelligence (AI) in financial trading is transforming how investment strategies are ...

Drug-drug interactions (DDI) can cause adverse drug reactions during the co-administration of multiple drugs, necessitating accurate and scalable prediction tools. While deep learning models have ...

Researchers developed DDINet, a deep learning model that predicts drug–drug interactions and their biological effects. The system performed well with unseen drugs and may improve safety in ...

Governmental Procurement of AI is vulnerable to Arrow's information paradox. The standoff between Pentagon and Anthropic ...

High‑NA EUV's reduced field size is driving new innovation in optical proximity correction and mask synthesis.

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

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary ...

Today, serious trading runs on systems. Decisions are written in code. Orders are triggered automatically.

Foundational Breakthroughs in AI Papers 2019 2019 saw the release of some truly game-changing research papers in ...