#Deep Learning
Thomson Reuters Spent 40 Million Dollars on a Model That Surpassed Claude Sonnet
Large media holding Thomson Reuters built its own AI model Thomson based on Qwen, which scored 78.5% on aggregated benchmarks and surpassed Claude Sonnet 5. Development took 3 months and 368 GPU B200, total cost — 40 million dollars.
NVIDIA and Over 100 Partners Launch Open Platform to Ensure Safe AI Agents
NVIDIA has introduced an open AI agent safety platform with more than 100 partners. The solution uses OpenShell runtime sandboxing and BlueField hardware monitoring to stop agents from escaping controls or deviating from intended actions.
Dragonfly Eye with AI: How a Solo Researcher Can Assemble Cross-Disciplinary Knowledge Without Chaos
The 'Dragonfly Eye' technology allows a single person with the help of artificial intelligence to effectively collect knowledge from different areas. It starts with defining boundaries, normalizing objects into taxons and controlled transfer between facets.
Motional and MIT Unveil CW-Net to Make Self-Driving AI Decisions Transparent
Researchers from Motional and MIT have introduced CW-Net, an explainable AI system that translates autonomous vehicle neural network computations into real-time, human-readable concepts.
ICML 2026 Highlights: Record Influx of Papers and the Rise of Diffusion Language Models
Seoul hosted one of the premier machine learning conferences, ICML 2026. We break down the event's record statistics, key trends, the triumph of diffusion approaches, and new frontiers in generative AI.
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.