Through predictive modelling, AI supports target identification, prediction of physicochemical properties and formulation strategy selection.

The new release adds multi-agent workflows, parallel execution and built-in governance as enterprises look beyond AI coding ...

After two years of maxxing out on AI tools, many organizations are confronting an uncomfortable reality: AI costs don't scale linearly with adoption.

On July 4, the Medical AI Ecosystem Innovation Forum and iMedLoop Global Medical Imaging Data Platform Launch was held in Beijing. Jointly organized by Liaowang Finance, under Liaowang Weekly, and ...

The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and ...

Spec-driven development means making your intent explicit before you start coding, says Ewan Mc Phail, lead AI engineer at ...

As AI drives the marginal cost of software development down, the real enterprise bottleneck may no longer be code. That shift ...

Lyzr Inc., a startup that helps enterprises build artificial intelligence agents, is reportedly raising a funding round worth ...

NCS says companies need to manage token usage, data quality and agent safety as AI moves from productivity pilots to wider ...

A comparison of seven automotive requirements management platforms for 2026, evaluating Jama Connect, Visure, Codebeamer, Polarion, IBM DOORS, Valispace, and ReqView across ISO 26262 compliance, ...

Biopharmaceutical developers should introduce risk-based, phase-appropriate characterization strategies for quality control ...

Overview: RAG improves AI accuracy by retrieving relevant information before generating a response.AI agents with RAG provide more current and trustworthy answe ...