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 ...

Worse, the most recent CERN implementation of the FPGA-Based Level-1 Trigger planned for the 2026-2036 decade is a 650 kW system containing an incredibly high number of transistor, 20 trillion in all, ...

Physicists at Silicon Quantum Computing have developed what they say is the most accurate quantum computing chip ever engineered, after building a new kind of architecture.

Mike Connaughton of Leviton Network Solutions explains how strong partnerships can help data center operators overcome common ...

ChatGPT 5.2 is arriving with a bold claim: its Thinking mode reportedly matches or outperforms human experts on 70.9% of ...

For years, planetary scientists treated Titan as an ocean world in disguise, a frozen shell hiding a vast global sea of ...

Patrick R. Sullivan, chief of staff and head of technology for Private Advisor Group, discusses the range of wealthtech ...

AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...

Although something that’s taken for granted these days, the ability to perform floating-point operations in hardware was, for ...