🧬 AI nails melanoma detection (almost too well?)
Northeastern folks rolled out this thing called SegFusion Framework - an AI model that claims ~99% accuracy spotting melanoma. That’s actually above a lot of the tools doctors already use, which is kind of thrilling… and, honestly, a little unnerving.
It mixes segmentation with classification, so dermatologists basically get a sharper magnifying glass for catching skin cancer early.
⚡ “Future-guided” AI peeks ahead at seizures
Over at UC Santa Cruz, engineers cooked up a system that predicts seizures up to 44.8% better than the older setups. The trick? It kind of cheats by “looking forward” across multiple time scales, like zooming in and out at once.
And yeah, this isn’t just about health - the same idea could sneak into finance, traffic flow, even climate models where forecasts get messy fast.
🎯 Millions of materials… but mostly in theory
Big names - Google, Microsoft, Meta, etc. - are bragging about AI spitting out endless new material candidates for batteries, catalysts, even drugs.
Catch: researchers say the bulk are basically science fan fiction. The leap from “AI dream molecule” to something that works in a lab is way bigger than the press blurbs let on.
💸 Startup bubble déjà vu?
AI startup funding keeps rocketing upward, but the air smells a bit frothy. At the Milken Asia Summit, a Singapore sovereign wealth CIO straight-up said valuations feel “frothy.”
Plenty of outfits are cashing checks on vibes instead of working products. Déjà vu of the dot-com flameout? Could be.
🇺🇸 Ferris State lands first NSA “Secure AI” nod
Ferris State University just snagged the title of first U.S. school to get its AI program validated by the NSA for “Secure Artificial Intelligence.”
It’s more than just coding classes now - trust, security, and “safe AI” are literally baked into the curriculum. Definitely a sign of where things are heading.