The Context Crisis: Why AI Projects Are Failing And How To Fix It

The transition from basic RAG to AI Infrastructure powered by Context Engineering is not a future scenario, it is today’s ...

NVIDIA Boosts DGX Spark Performance And Pushes New Developer Tools at CES 2026

A few months after releasing the GB10-based DGX Spark workstation, NVIDIA uses CES 2026 to showcase super-charged performance ...
The Malaysian Reserve

Firsthabit Prepares to Bring the Future of Learning to CES 2026

FIRSTHABIT to Participate in CES 2026 Unveiled, Main Exhibition, and Global Innovation Forum, Showcasing Education AI ...

Why Meta bought Manus — and what it means for your enterprise AI agent strategy

The deal arrives as Meta accelerates its AI investments to compete with Google, Microsoft, and OpenAI — and as the industry’s ...

Stack Overflow is dying: Blame it on ChatGPT and AI coding tools

For nearly two decades, the ritual was sacred. You hit a coding wall, you Googled the error message, and you clicked the ...
InfoWorld

Automated data poisoning proposed as a solution for AI theft threat

For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake ...

Chalk explained: Award-winning visual LLM for easy learning, how it works

The education technology sector has long struggled with a specific problem. While online courses make learning accessible, ...
MobiHealthNews

Study: Stanford’s VeriFact uses AI to verify LLM-generated clinical records

VeriFact analyzes statements in AI-generated clinical text against patients’ EHRs to identify factual errors, achieving 93.2% agreement with clinicians.
PC Gamer

Anthropic reveals that as few as '250 malicious documents' are all it takes to poison an LLM's training data, regardless of model size

Don't sleep on this study. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Add us as a preferred source on Google Claude-creator Anthropic has ...