Enterprise AI Governance in 2026: Why the Tools Employees Use Are Ahead of the Policies That Cover Them
Source: MarkTechPost By the time a company’s legal team finishes drafting its generative AI acceptable use policy, a...
Fastino Labs Open-Sources GLiGuard: A 300M Parameter Safety Moderation Model That Matches or Exceeds Accuracy of Models 23–90x Its Size
Source: MarkTechPost As LLM-powered applications move into production — and as AI agents take on more consequential tasks...
Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration
Source: MarkTechPost Most AI systems today work in turns. You type or speak, the model waits, processes your...
Google DeepMind Introduces an AI-Enabled Mouse Pointer Powered by Gemini That Captures Visual and Semantic Context Around the Cursor
Source: MarkTechPost The mouse pointer has sat at the center of personal computing for more than half a...
Universal AI is “a pathway to AI fluency that’s accessible and approachable to anyone, anywhere”
Source: MIT News – Artificial intelligence “Artificial intelligence is not just for computer scientists anymore; it’s going to...
Q&A: Expanding MIT’s global reach through Universal Learning
Source: MIT News – Artificial intelligence MIT’s Universal Learning is a new initiative from MIT Open Learning designed...
Tilde Research Introduces Aurora: A Leverage-Aware Optimizer That Fixes a Hidden Neuron Death Problem in Muon
Source: MarkTechPost Researchers at Tilde Research have released Aurora, a new optimizer for training neural networks that addresses...
Understanding LLM Distillation Techniques
Source: MarkTechPost Modern large language models are no longer trained only on raw internet text. Increasingly, companies are...
How to Build Technical Analysis and Backtesting Workflow with pandas-ta-classic, Strategy Signals, and Performance Metrics
Source: MarkTechPost In this tutorial, we implement how to use pandas-ta-classic to build a complete technical analysis and...
Meta and Stanford Researchers Propose Fast Byte Latent Transformer That Reduces Inference Memory Bandwidth by Over 50% Without Tokenization
Source: MarkTechPost A team of researchers from Meta, Stanford University, and the University of Washington have introduced three...