One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

The cloud-based agentic AI platform aims to help human researchers overcome resource constraints and complex data challenges ...

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.

Reo.Dev, the world's only intent platform purpose-built for DevTools companies, today announced a major milestone with its ...

Every few months, a new AI tool promises to transform legal work. The demos are impressive. The capabilities are real. And ...

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

Agentic AI moves beyond chatbots into systems that plan, use tools, and act. Learn key terms, architectures, risks, ...

Shreyansh Sharma built high-performance financial data pipelines, improving accuracy, speed, scalability, and reliability for ...

The International Conference on Data Science & AI for Social Good and Responsible Innovation (DASGRI 2026) was successfully ...