NVIDIA has released Nemotron-Nano-3-30B-A3B-NVFP4, a production checkpoint that runs a 30B parameter reasoning model in 4 bit NVFP4 format while keeping accuracy close to its BF16 baseline. The model combines a hybrid Mamba2 Transformer Mixture of Experts architecture with a Quantization Aware ...

In this tutorial, we build a memory-engineering layer for an AI agent that separates short-term working context from long-term vector memory and episodic traces. We implement semantic storage using embeddings and FAISS for fast similarity search, and we add episodic memory that captures what ...

MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here. Demand for electric vehicles and the batteries that power them has never been hotter. In 2025, EVs made up over a quarter of new ...

One of the best-performing algorithms in machine learning is the boosting algorithm. These are characterised by good predictive abilities and accuracy. All the methods of gradient boosting are based on a universal notion. They get to learn through the errors of the former models. Each new model is ...

The promise of agentic AI is compelling: autonomous systems that reason, plan, and execute complex tasks with minimal human intervention.

Time series modeling

In late 2025, an open-source project called Clawdbot was released. Built by Peter Steinberger, it was designed to be a practical personal AI assistant: not a chatbot, but a system that could actually do things. As it evolved, Clawdbot was renamed twice. First to Moltbot, and then to OpenClaw. You ...

Machine learning projects work best when they connect theory to real business outcomes. In e-commerce, that means better revenue, smoother operations, and happier customers, all driven by data. By working with realistic datasets, practitioners learn how models turn patterns into decisions that ...

Robbyant, the embodied AI unit inside Ant Group, has open sourced LingBot-World, a large scale world model that turns video generation into an interactive simulator for embodied agents, autonomous driving and games. The system is designed to render controllable environments with high visual ...

In this tutorial, we walk through an end-to-end, advanced workflow for knowledge graph embeddings using PyKEEN, actively exploring how modern embedding models are trained, evaluated, optimized, and interpreted in practice. We start by understanding the structure of a real knowledge graph dataset, ...

Allen Institute for AI (AI2) Researchers introduce SERA, Soft Verified Efficient Repository Agents, as a coding agent family that aims to match much larger closed systems using only supervised training and synthetic trajectories. What is SERA? SERA is the first release in AI2’s Open Coding Agents ...

Back in the day, if you were able to post a few viral reels, Instagram would pay you up to $8,500 a month for it. It…