Luma Labs Launches Uni-1: The Autoregressive Transformer Model that Reasons through Intentions Before Generating Images
Source: MarkTechPost In the field of generative AI media, the industry is transitioning from purely probabilistic pixel synthesis...
Advancing international trade research and finding community
Source: MIT News – Artificial intelligence The sense of support and community was palpable when Sojun Park, a...
How to Design a Production-Ready AI Agent That Automates Google Colab Workflows Using Colab-MCP, MCP Tools, FastMCP, and Kernel Execution
Source: MarkTechPost In this tutorial, we build an advanced, hands-on tutorial around Google’s newly released colab-mcp, an open-source...
On algorithms, life, and learning
Source: MIT News – Artificial intelligence From enhancing international business logistics to freeing up more hospital beds to...
7 Steps to Mastering Memory in Agentic AI Systems
Source: MachineLearningMastery.com In this article, you will learn how to design, implement, and evaluate memory systems that make...
How BM25 and RAG Retrieve Information Differently?
Source: MarkTechPost When you type a query into a search engine, something has to decide which documents are...
Implementing Deep Q-Learning (DQN) from Scratch Using RLax JAX Haiku and Optax to Train a CartPole Reinforcement Learning Agent
Source: MarkTechPost In this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by...
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...
A Coding Implementation for Building and Analyzing Crystal Structures Using Pymatgen for Symmetry Analysis, Phase Diagrams, Surface Generation, and Materials Project Integration
Source: MarkTechPost In this tutorial, we explore the capabilities of the pymatgen library for computational materials science using...
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...