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Artificial Intelligence

Entering the Physical AI Era: Introducing the Qwen-Robot Suite

This article introduces Alibaba's Qwen-Robot Suite, a new set of foundational models for physical AI and robotics.

Qwen-Robot Suite: A Foundation Model Suite for Physical World Intelligence

The Qwen family of multimodal foundation models has made remarkable progress in understanding the physical world.

Qwen-RobotWorld: Boundless Worlds for Embodied Agents

This article introduces Qwen-RobotWorld, a unified video world model that uses natural language to simulate diverse physical scenarios for embodied agents.

Qwen-RobotManip: Alignment Unlocks Scale for Robotic Manipulation Foundation Models

This article introduces Qwen-RobotManip, a scalable foundation model for generalizable robotic manipulation.

Qwen-RobotNav: A Scalable Navigation Model Designed for an Agentic Navigation System

This article introduces Qwen-RobotNav, a scalable and unified navigation model designed for agentic navigation systems.

Alibaba Cloud Expands European Footprint with Two Availability Zones in France

A suite of Agentic AI services set to launch for European customers later this year

Introducing Qoder 1.0: From AI IDE to Autonomous Development Desktop

From Agentic Coding to Agentic Engineering. Qoder 1.0 evolves from AI IDE to Autonomous Development Desktop.

Alibaba Cloud Releases RCA Benchmark, the Industry's First Open Source Root Cause Analysis Benchmark System for Agentic Ops

This article introduces Alibaba Cloud's open-source RCA Benchmark for evaluating AI agents in IT operations.

Say Goodbye to Goldfish Memory: PolarDB Mem0 Gives AI Agents long-term Memory

This article introduces PolarDB Mem0, a managed long-term memory service that gives AI agents persistent, structured recall through integrated vector and graph capabilities.

Code Harness or Natural-Language Harnesses?

This article introduces Natural-Language Agent Harnesses (NLAH), replacing traditional code-based agent control with executable natural language strategies.

Alibaba Cloud Amplifies Malaysia Infrastructure with Public Cloud Region in Johor to Meet Growing Demand

New Johor region strengthens AI-ready cloud capabilities, enhancing resilience, performance, and digital transformation across Malaysia and Southeast .

I Tested 19 LLM API Workloads on Real Calls and Cut Costs 79% — Here's the Data

518 real API calls. $33.99 → $7.06 in a single run. The same parameter change projects $15,667/year saved on a healthcare workload — here's the exact code, the math, and every scenario I measured.

Apache RocketMQ 5.5.0 Open Source LiteTopic: Dedicated Channel for Millions of AI Sessions

This article introduces Apache RocketMQ 5.5.0's LiteTopic, a new message model designed for millions of lightweight AI agent sessions with event-driven distribution and session persistence.

AgentScope Java 2.0: Building a Distributed, Enterprise-Grade Foundation for AI Agents

This article introduces AgentScope Java 2.0, an open-source framework for building distributed, enterprise-grade AI agents with production-ready features.

Alibaba Launches Qwen3.7-Plus, AI Swine Diagnosis Assistant and Model Studio CLI

This article introduces the launch of Qwen3.7-Plus multimodal model, an AI swine diagnosis assistant with Muyuan Group, and Model Studio's open-source CLI for AI agents.

AI-Powered Dragonwell Native Acceleration: Automatic Discovery of 10x Performance Improvement Opportunities

This article introduces an AI-powered performance analytics system that automatically identifies optimization opportunities in Java/Scala applications

Deploy OpenClaw di Alibaba Cloud ECS dengan Integrasi Telegram

Panduan langkah demi langkah menjalankan AI coding agent Anda sendiri di cloud

Qwen-VLA: From Understanding the World to Acting in It

This article introduces Qwen-VLA, a general-purpose Vision-Language-Action model that extends multimodal perception and reasoning into continuous action generation for embodied intelligence.

Qwen3.7-Plus: Multimodal Agent Intelligence

This article introduces Qwen3.7-Plus — a multimodal agent model that unifies vision and language into a single, versatile agent foundation.

SkillClaw × Nacos: Autonomic Evolutionary Closed Loop from an Agent Session to a Governable Skill Registry

This article introduces how SkillClaw and Nacos combine to create a closed loop for AI Agent skills—from automatic generation in real sessions to governed team-wide distribution.