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

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

These movies truly perplexed viewers in 2025, so much that people were Googling them endlessly to figure out mysteries, ...

The next wave of media businesses will gain their advantage by adopting a single, integrated, AI-First platform like Akta, ...

Bruker's Acquifer Imaging Machine (IM) is a fully automated widefield microscope with both brightfield and fluorescence imaging capabilities. It is best suited for high-content screening (HCS) and ...

In 2025, running an IPTV platform is a serious business with significant infrastructure, bandwidth, and performance demands. Many new operators start with the wrong assumption that an IPTV server is ...

UC Berkeley Computer Science Professor Sarah Chasins joins WIRED to answer the internet's burning questions about coding. How did programmers code the first ever code? What remnants of the early World ...

Memory failures often feel like personal lapses, but new research suggests the problem may be rooted in hidden architecture inside the brain’s core learning hub. Scientists have uncovered previously ...

While many consumer AI tools rely exclusively on a single external LLM, Atomesus takes a fundamentally different approach: it blends multiple intelligence sources under one internal control system.

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

The modern healthcare data stack unifies patient data for real-time clinical and operational insights to improve decision-making in health systems.