AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...

Salesforce added 6,000 Agentforce customers in one quarter, hitting $540M in revenue—challenging the AI bubble narrative with ...

Spring Boot is one of the most popular and accessible web development frameworks in the world. Find out what it’s about, with ...

When a client requests an urgent fund transfer, financial advisors need instant access to  account details and approvals, as ...

Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...

Germany’s new ZB MED is “about ensuring that a single fragile pipeline doesn’t bottleneck good science,” experts write.

Shah announced an upcoming 360-degree crackdown on organised crime networks that use extortion and ransom proceeds to finance ...

Clinical researchers have developed and patented a 3D-printed surgical capsule for biopsies that promises to change the way ...

Discover why algorithms and data structures form the foundation of contemporary computing. Discover how DS&A spurs innovation ...

We look at block vs file storage for contemporary workloads, and find it’s largely a case of trade-offs between cost, complexity and the level of performance you can settle for.