Microsoft Builds A Compact AI Model That Decides When To Think

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

OpenAI's new GPT-5.4 clobbers humans on pro-level work in tests - by 83%

GPT-5.4 is also more reliable, producing 18% fewer errors and 33% fewer false claims than GPT-5.2, according to OpenAI.

I built my own movie recommendation system with NotebookLM, and it beats Netflix's algorithm

After scrolling through sci-fi sections on platforms like Netflix and cross-checking ratings on IMDb, I realized I was spending more time browsing than watching. And when I did pick something, it ...

Microsoft open-sources multimodal reasoning model with 15B parameters

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...
IEEE

A Hybrid Feature-Selection Method Based on mRMR and Binary Peacock Optimization Algorithm

Abstract: An essential aspect of developing effective biomarkers that facilitate disease diagnosis and drug discovery is identifying the most critical characteristics from microarray data. Since it is ...
IEEE

Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach

Abstract: Heart diseases have become the leading cause of death globally, highlighting the urgent need for robust diagnostic and treatment methods. This study leverages the UCI heart disease dataset ...