Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.
Meta's Brain2Qwerty v2 decodes typed sentences from brain scans at 61% accuracy with no implant. The catch: it's room-sized, not real-time, and lab-bound.
Meta's new research turns brain activity into typed sentences with no implant, and the accuracy jump is the part that should ...
The company’s Brain2Qwerty v2 system can translate brainscans into coherent sentences, no invasive surgery required.
An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...
Add Decrypt as your preferred source to see more of our stories on Google. Meta introduced Brain2Qwerty v2, a non-invasive AI system that decodes brain activity into text. The model achieved 61% ...
Meta ( META) had been using Google's Gemini models for tasks such as content moderation and scam detection because they ...
Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...
I gave Claude access to my Home Assistant. It helped me audit, debug, and improve my smart home better than I ever could have.
How-To Geek on MSN
Claude's no-code canvas replaces hours of Python debugging in minutes
I ditched my terminal for Claude's built-in code executor, and I'm not going back.
At Rapid + TCT 2026, I came across an exhibitor that at first seemed like it would apply primarily to hobbyists. (I saw pet faces on keychains on display—how cool is that!) But then I saw the ...
03/10: Added support for latest transformer versions, which support Llama 3.1, 3.2 and other latest models. Expanded support to evaluate any LLM2vec model, check mteb_eval_custom.py 04/07: Added ...
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