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

The evolution of software architecture is contributing to increasing energy consumption.

Arbour House is spread across two levels – the ground floor, a piano nobile that contains a flowing living space with social ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

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, ...

This mobile driver’s licenses webinar introduces new resources to help financial institutions implement support for mDLs.

As chip designs become larger and more complex, especially for AI and high-performance computing workloads, it’s often not ...

According to the initial results, no model—including Gemini 3 Pro, GPT-5, or Claude 4.5 Opus—managed to crack a 70% accuracy ...

As laptops, AI PCs, and the latest imaging systems demand even higher performance and lower power, SoCs are challenged to ...

Aron England, Chief Product and Technology Officer at Accruent, is a seasoned technology and product leader known for building and scaling global teams that deliver SaaS and agentic solutions from ...

With long-context support and lower hallucinations, GPT-5.2 helps analysts trust answers and move from raw data to action ...

This FAQ will look at a lesser-known but commercially available RAM technology called resistive random-access memory (RRAM) ...