Robotera's open-source VPP2 tops RoboDojo's 42-task dual-arm benchmark at a 32.26% success rate by training video prediction first and robot actions second. Robotera, the Tsinghua University-backed ...
ByteDance's TRAE folds TraeWork and TraeCode into one app with Agent and IDE modes across desktop, web and mobile. TraeWork ...
Want to read in a language you're more familiar with? LATENT, from Galbot, Tsinghua and collaborators, won an IROS 2026 entertainment paper award. In the paper, a Unitree G1 returned forehands on ...
Doubao's native HarmonyOS PC app ships with Doubao-Seed-2.1 Pro and Turbo, chat and work modes and agent-style tools; Huawei ...
A Chinese-led team has published in Cell what it calls the first three-dimensional spatiotemporal cell atlas spanning rice's ...
DeepSeek Harness v0.2.1-alpha.1 adds an experimental bridge that runs Claude Code Mods as Harness plugins, plus a new entry ...
The campus of BEST, China's compact fusion experiment in Hefei, was delivered early. The main machine has begun four-ring ...
Horizon Robotics' HSD V2.1 adds end-to-end reversing in all scenarios, with 43% more miles per intervention and 255% better interactive lane changes. iCAR V27 OTA starts October 8. Horizon Robotics on ...
StepFun launched Step 5 Preview on September 20, 2026: a ~600B sparse MoE (~27B active) with 1M context for long-horizon agents, API live now and BF16 open weights planned for October 15. StepFun ...
StepFun’s Step 5 Preview pairs a 600B/27B sparse MoE with a 92-layer narrow-deep stack and 1M context for long-horizon agents, with weights planned for October 15. StepFun has launched Step 5 Preview, ...
Want to read in a language you're more familiar with? Tencent WeChat open-sources WeKnora, a RAG-to-agent knowledge platform with 25k+ GitHub stars, plus an official DeepSeek Harness plugin that adds ...
Want to read in a language you're more familiar with? Shanghai Artificial Intelligence Laboratory open-sourced Atria Dawn Preview under MIT, a 744B MoE agentic model built on GLM-5.2 with 256K context ...