Can a diffusion model teach a CNN? Class-conditional DiT trained from scratch for low-data brain tumor MRI classification (Figshare, Cheng et al.), with a shortcut analysis. - ...

This project, SMED, is a tool designed to analyze the emotional content of Instagram posts. It uses machine learning models to classify emotions and displays the results on a user-friendly dashboard.

Roni Bandini]’s JEV WiFi Analyzer is an interesting experiment that glues together a single-board Linux computer, a USB WiFi ...

According to the company's findings, the model subsequently used fabricated identities in an effort to persuade developers to ...

The startup world is littered with companies that tried to become the next YouTube. Andrew Morse is trying it again with his ...

AI agents now read, decide, and act on their own, and the attacks against them unfold across many ordinary, permitted steps ...

Learn seven design patterns for data science code, from Strategy and Adapter to Command and Proxy, each matched to the ...

I took a course called GCI (Global Consumer Intelligence) from April 21 to August 4, 2026, so I will write about what I ...

Prompt injection test lab: build a 12-step Python harness that scores Claude, GPT, Gemini, Mistral and DeepSeek on 14 OWASP ...

Eight eMudhra CA keys were compromised. Chrome, Firefox, Apple and Microsoft blocked them. Here is what happened, the risks ...

Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file.

A CNN model trained on ImageNet. It certainly achieves over 95% accuracy in 1000-class image classification. However, as many ...