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Category: agentic AI

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How to Build High-Performance GPU-Accelerated Simulations and Differentiable Physics Workflows Using NVIDIA Warp Kernels
  • agentic AI
  • AI
  • AI infrastructure
  • Artificial Intelligence
  • Editors Pick
  • Staff
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How to Build High-Performance GPU-Accelerated Simulations and Differentiable Physics Workflows Using NVIDIA Warp Kernels

  • 0

In this tutorial, we explore how to use NVIDIA Warp to build high-performance GPU and CPU simulations directly from Python. […]

Businesses struggle to identify AI agent traffic
  • agentic AI
  • Article
  • Artificial Intelligence (AI)
  • Internet
  • Technology
  • Web traffic

Businesses struggle to identify AI agent traffic

  • 0

A new report reveals that AI agents are crawling, indexing, and interacting with websites at a volume most organizations are […]

Moonshot AI Releases 𝑨𝒕𝒕𝒆𝒏𝒕𝒊𝒐𝒏 𝑹𝒆𝒔𝒊𝒅𝒖𝒂𝒍𝒔 to Replace Fixed Residual Mixing with Depth-Wise Attention for Better Scaling in Transformers
  • agentic AI
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Moonshot AI Releases 𝑨𝒕𝒕𝒆𝒏𝒕𝒊𝒐𝒏 𝑹𝒆𝒔𝒊𝒅𝒖𝒂𝒍𝒔 to Replace Fixed Residual Mixing with Depth-Wise Attention for Better Scaling in Transformers

  • 0

Residual connections are one of the least questioned parts of modern Transformer design. In PreNorm architectures, each layer adds its […]

IBM AI Releases Granite 4.0 1B Speech as a Compact Multilingual Speech Model for Edge AI and Translation Pipelines
  • agentic AI
  • AI
  • Artificial Intelligence
  • Audio Language Model
  • Editors Pick
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IBM AI Releases Granite 4.0 1B Speech as a Compact Multilingual Speech Model for Edge AI and Translation Pipelines

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IBM has released Granite 4.0 1B Speech, a compact speech-language model designed for multilingual automatic speech recognition (ASR) and bidirectional […]

A Coding Implementation to Design an Enterprise AI Governance System Using OpenClaw Gateway Policy Engines, Approval Workflows and Auditable Agent Execution
  • agentic AI
  • AI
  • AI Agents
  • Editors Pick
  • Staff
  • Tutorials

A Coding Implementation to Design an Enterprise AI Governance System Using OpenClaw Gateway Policy Engines, Approval Workflows and Auditable Agent Execution

  • 0

In this tutorial, we build an enterprise-grade AI governance system using OpenClaw and Python. We start by setting up the […]

Meet OpenViking: An Open-Source Context Database that Brings Filesystem-Based Memory and Retrieval to AI Agent Systems like OpenClaw
  • agentic AI
  • AI
  • AI Agents
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  • Editors Pick
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Meet OpenViking: An Open-Source Context Database that Brings Filesystem-Based Memory and Retrieval to AI Agent Systems like OpenClaw

  • 0

OpenViking is an open-source Context Database for AI Agents from Volcengine. The project is built around a simple architectural concept: […]

LangChain Releases Deep Agents: A Structured Runtime for Planning, Memory, and Context Isolation in Multi-Step AI Agents
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LangChain Releases Deep Agents: A Structured Runtime for Planning, Memory, and Context Isolation in Multi-Step AI Agents

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Most LLM agents work well for short tool-calling loops but start to break down when the task becomes multi-step, stateful, […]

Garry Tan Releases gstack: An Open-Source Claude Code System for Planning, Code Review, QA, and Shipping
  • agentic AI
  • AI
  • AI Agents
  • Editors Pick
  • New Releases
  • Open Source
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Garry Tan Releases gstack: An Open-Source Claude Code System for Planning, Code Review, QA, and Shipping

  • 0

What if AI-assisted coding became more reliable by separating product planning, engineering review, release, and QA into distinct operating modes? […]

Google DeepMind Introduces Aletheia: The AI Agent Moving from Math Competitions to Fully Autonomous Professional Research Discoveries
  • agentic AI
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Google DeepMind Introduces Aletheia: The AI Agent Moving from Math Competitions to Fully Autonomous Professional Research Discoveries

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Google DeepMind team has introduced Aletheia, a specialized AI agent designed to bridge the gap between competition-level math and professional […]

Model Context Protocol (MCP) vs. AI Agent Skills: A Deep Dive into Structured Tools and Behavioral Guidance for LLMs
  • agentic AI
  • AI
  • AI Agents
  • Editors Pick
  • Model Context Protocol (MCP)
  • Staff

Model Context Protocol (MCP) vs. AI Agent Skills: A Deep Dive into Structured Tools and Behavioral Guidance for LLMs

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In recent times, many developments in the agent ecosystem have focused on enabling AI agents to interact with external tools […]

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