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.

BM25 from scratch, a retrieval-vs-reasoning failure decomposition, and a fine-tuned cross-encoder. Leakage audits throughout; every number ...

After having ChatGPT or Gemini draft text for you, do you find yourself copying and saving it to a file every time? In this ...

In issue No. 0, I declared that I, a liberal arts major and non-engineer approaching my 60th birthday, would use myself as a ...

Discover how Open Cosmos connects Earth observation, onboard processing, and satellite communications to turn orbital data ...

Cowork, a small 4B vision-language model that switches between GUI actions and shell code execution within a single policy, ...

Two new Java Cards reproduce the applet lifecycle and expose a T=0 transport bug. Hardware results, CPLC serials, regression ...

Cold storage crypto recovery drill: restore your backup on a second wallet and prove it with a watch-only Python script in 12 ...

My Bachelor’s thesis was conducted on the viability of benchmarking the non-functional elements of Android apps and ...

A critical vulnerability in Google's Brotli compression library could enable crashes, data exposure or system compromise.

The Kenyan SME ERP SokoFlow added structured failure handling, a Redis-based daily cap, and an interaction logger to its ...