Meta Releases TRIBE v2: A Brain Encoding Model That Predicts fMRI Responses Across Video, Audio, and Text Stimuli
Source: MarkTechPost Neuroscience has long been a field of divide and conquer. Researchers typically map specific cognitive functions...
Google Releases Gemini 3.1 Flash Live: A Real-Time Multimodal Voice Model for Low-Latency Audio, Video, and Tool Use for AI Agents
Source: MarkTechPost Google has released Gemini 3.1 Flash Live in preview for developers through the Gemini Live API...
NVIDIA AI Introduces PivotRL: A New AI Framework Achieving High Agentic Accuracy With 4x Fewer Rollout Turns Efficiently
Source: MarkTechPost Post-training Large Language Models (LLMs) for long-horizon agentic tasks—such as software engineering, web browsing, and complex...
Google Introduces TurboQuant: A New Compression Algorithm that Reduces LLM Key-Value Cache Memory by 6x and Delivers Up to 8x Speedup, All with Zero Accuracy Loss
Source: MarkTechPost The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth...
Paged Attention in Large Language Models LLMs
Source: MarkTechPost When running LLMs at scale, the real limitation is GPU memory rather than compute, mainly because...
This AI Paper Introduces TinyLoRA, A 13-Parameter Fine-Tuning Method That Reaches 91.8 Percent GSM8K on Qwen2.5-7B
Source: MarkTechPost Researchers from FAIR at Meta, Cornell University, and Carnegie Mellon University have demonstrated that large language...
Yann LeCun’s New LeWorldModel (LeWM) Research Targets JEPA Collapse in Pixel-Based Predictive World Modeling
Source: MarkTechPost World Models (WMs) are a central framework for developing agents that reason and plan in a...
Meta AI’s New Hyperagents Don’t Just Solve Tasks—They Rewrite the Rules of How They Learn
Source: MarkTechPost The dream of recursive self-improvement in AI—where a system doesn’t just get better at a task,...
Meet GitAgent: The Docker for AI Agents that is Finally Solving the Fragmentation between LangChain, AutoGen, and Claude Code
Source: MarkTechPost The current state of AI agent development is characterized by significant architectural fragmentation. Software devs building...
Safely Deploying ML Models to Production: Four Controlled Strategies (A/B, Canary, Interleaved, Shadow Testing)
Source: MarkTechPost Deploying a new machine learning model to production is one of the most critical stages of...