Discovering the disease you thought you knew — how clustering rewrote breast cancer
I keep coming back to a sentence a breast oncologist said to me last year. Breast cancer isn’t one disease. It’s at least four, and we…
I keep coming back to a sentence a breast oncologist said to me last year. Breast cancer isn’t one disease. It’s at least four, and we…
Heavy computation is a well-known problem in various ML algorithms today, especially when generative AI is applied to text, images, and other unstructured data. One of the principal approaches to mitigate this problem is to compress input data into a lower-dimensional representation while preserving the main context. There are various methods that achieve this goal,…
Separately, according to CompTIA’s latest Tech Jobs Report, employers posted more than 280,000 new technology job postings in June, marking the sixth consecutive month of growth. Active technology job postings approached 600,000, while employment in tech occupations increased by 47,000 positions. The unemployment rate for tech occupations fell to 2.9%, compared with the national unemployment…
The funny thing is, everyone knows he's clearly lying. He has no idea about AI slop or how young adults think, because he literally admitted he doesn't even use a phone or the internet, lmao. submitted by /u/StylishJolt [comments]
A patch Microsoft released on Wednesday to fix a zero-day vulnerability in its Defender security engine may cause Windows machines to write files large enough to completely consume available disk space, the researcher who discovered the flaw said. RoguePlanet, tracked as CVE-2026-50656, came to public notice in June when NightmareEclipse, the pseudonymous name used by…
Your conversations live on someone else's server. Your memory is their asset. The thing forgets you when that's cheaper, changes under you, and you can't look inside it. I got tired of that and built an alternative. minima is a local, bring-your-own-key agentic chat. It runs on your machine, works your real files, and –…
Most engineering leadership teams are grappling with the fact that reliability costs too much, teams are burnt out, and they feel something has to change. Typically, teams resort to optimization: smarter alerting, faster runbooks, better dashboards, and more training. Teams invest heavily, see modest gains, and then end up right back where they started when…