AI News
A Coding Implementation Showcasing ClawTeam’s Multi-Agent Swarm Orchestration with OpenAI Function Calling
SWARM_TOOLS = }, "result": {"type": "string", "description": "Result or output of the task"}, }, "required": , }, }, }, {...
LlamaIndex Releases LiteParse: A CLI and TypeScript-Native Library for Spatial PDF Parsing in AI Agent Workflows
In the current landscape of Retrieval-Augmented Generation (RAG), the primary bottleneck for developers is no longer the large language model...
Meet Mamba-3: A New State Space Model Frontier with 2x Smaller States and Enhanced MIMO Decoding Hardware Efficiency
The scaling of inference-time compute has become a primary driver for Large Language Model (LLM) performance, shifting architectural focus toward...
A Coding Guide to Implement Advanced Differential Equation Solvers, Stochastic Simulations, and Neural Ordinary Differential Equations Using Diffrax and JAX
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...
Tsinghua and Ant Group Researchers Unveil a Five-Layer Lifecycle-Oriented Security Framework to Mitigate Autonomous LLM Agent Vulnerabilities in OpenClaw
Autonomous LLM agents like OpenClaw are shifting the paradigm from passive assistants to proactive entities capable of executing complex, long-horizon...
NVIDIA AI Open-Sources ‘OpenShell’: A Secure Runtime Environment for Autonomous AI Agents
The deployment of autonomous AI agents—systems capable of using tools and executing code—presents a unique security challenge. While standard LLM...
How to Build High-Performance GPU-Accelerated Simulations and Differentiable Physics Workflows Using NVIDIA Warp Kernels
angles = np.linspace(0.0, 2.0 * np.pi, n_particles, endpoint=False, dtype=np.float32) px0_np = 0.4 * np.cos(angles).astype(np.float32) py0_np = (0.7 + 0.15 *...
Google AI Releases WAXAL: A Multilingual African Speech Dataset for Training Automatic Speech Recognition and Text-to-Speech Models
Speech technology still has a data distribution problem. Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems have improved rapidly for...
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LIVE: Mukesh Ambani Speaks at India AI Impact Summit 2026 Delhi
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A Coding Implementation to Design an Enterprise AI Governance System Using OpenClaw Gateway Policy Engines, Approval Workflows and Auditable Agent Execution
In this tutorial, we build an enterprise-grade AI governance system using OpenClaw and Python. We start by setting up the...
LangChain Releases Deep Agents: A Structured Runtime for Planning, Memory, and Context Isolation in Multi-Step AI Agents
Most LLM agents work well for short tool-calling loops but start to break down when the task becomes multi-step, stateful,...
How to Build an Autonomous Machine Learning Research Loop in Google Colab Using Andrej Karpathy’s AutoResearch Framework for Hyperparameter Discovery and Experiment Tracking
In this tutorial, we implement a Colab-ready version of the AutoResearch framework originally proposed by Andrej Karpathy. We build an...
Garry Tan Releases gstack: An Open-Source Claude Code System for Planning, Code Review, QA, and Shipping
What if AI-assisted coding became more reliable by separating product planning, engineering review, release, and QA into distinct operating modes?...
Google AI Introduces ‘Groundsource’: A New Methodology that Uses Gemini Model to Transform Unstructured Global News into Actionable, Historical Data
Google AI Research team recently released Groundsource, a new methodology that uses Gemini model to extract structured historical data from...
Model Context Protocol (MCP) vs. AI Agent Skills: A Deep Dive into Structured Tools and Behavioral Guidance for LLMs
In recent times, many developments in the agent ecosystem have focused on enabling AI agents to interact with external tools...
