#Machine Learning
A Mathematical Perspective on Gradient Descent: MIT Researchers Introduce Modular Duality Concept
MIT CSAIL researchers have proposed revisiting the classical gradient descent mechanism through the lens of dual vector spaces, bridging theory with Shampoo and µP optimization methods.
VK Unifies Service Recommendations Using a Single Neuroprofile
The VK AI team has implemented the "Heimdall" end-to-end transformer model, which connects user activity across VK Clips, VK Video, and the social network feed into a unified recommendation system.
Guide to Free Webinars for IT Professionals: Schedule for Late August and September
A selection of over 30 free practical webinars covering development, DevOps, QA, machine learning, and IT management for the coming weeks.
AI News Spotlights Industry Leaders Across New Enterprise Video Interview Series
A curated collection of video interviews explores how global tech leaders and enterprises are tackling AI governance, cloud infrastructure, ethical deployment, and data management.
MIT Researchers Develop AI to Model Unprecedented Weather Disasters
Engineers at MIT have introduced a machine learning framework capable of generating realistic extreme weather scenarios without relying on past disaster records.