Three ways AI is learning to understand the physical world
Large language models are running into limits in domains that require an understanding of the physical world — from robotics...
Large language models are running into limits in domains that require an understanding of the physical world — from robotics...
SWARM_TOOLS = }, "result": {"type": "string", "description": "Result or output of the task"}, }, "required": , }, }, }, {...
Voice AI is moving faster than the tools we use to measure it. Every major AI lab — OpenAI, Google...
In the current landscape of Retrieval-Augmented Generation (RAG), the primary bottleneck for developers is no longer the large language model...
The hit open source autonomous AI agent OpenClaw may have just gotten mogged by Anthropic. Today, Anthropic announced Claude Code...
Cursor, a San Francisco AI coding platform from startup Anysphere valued at $29.3 billion, has launched Composer 2, a new...
Google has officially released the Colab MCP Server, an implementation of the Model Context Protocol (MCP) that enables AI agents...
The future of AI isn’t just agentic; it’s deep personalization. Rather than simple recommender systems that correlate user behavior to identify...
A rogue AI agent at Meta took action without approval and exposed sensitive company and user data to employees who...
Payments rely on a simple model: a person decides to buy something, and a bank or card network processes the...
import os, sys, subprocess, importlib, pathlib SENTINEL = "/tmp/diffrax_colab_ready_v3" def _run(cmd): subprocess.check_call(cmd) def _need_install(): try: import numpy import jax import...
The NVIDIA Agent Toolkit is Jensen Huang’s answer to the question enterprises keep asking: how do we put AI agents...
The scaling of inference-time compute has become a primary driver for Large Language Model (LLM) performance, shifting architectural focus toward...
Chinese electronics and car manufacturer Xiaomi surprised the global AI community today with the release of MiMo-V2-Pro, a new 1-trillion...
Autonomous LLM agents like OpenClaw are shifting the paradigm from passive assistants to proactive entities capable of executing complex, long-horizon...
The report identifies legacy system integration, fragmented data, and limited internal expertise as the main issues companies need to address...
The Baidu Qianfan Team introduced Qianfan-OCR, a 4B-parameter end-to-end model designed to unify document parsing,...
In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global...
There’s a risk to the multi-function LTM approach, of course: A failure in a widely-deployed model could have system-wide consequences,...
In 2026, data engineers working with multi-agent systems are hitting a familiar problem: Agents built on different platforms don’t operate...
The deployment of autonomous AI agents—systems capable of using tools and executing code—presents a unique security challenge. While standard LLM...
For the first time on a major AI platform release, security shipped at launch — not bolted on 18 months...