Artificial Intelligence
Train-to-Test Scaling: A Smarter Way to Budget AI Compute
New T2 scaling laws from Wisconsin-Madison and Stanford show that smaller, overtrained models outperform frontier LLMs on reasoning tasks when total compute cost is equal — with direct implications for robotics inference pipelines.
TARS AI Closes $455M Pre-A Round, Setting China Embodied-AI Financing Record
TARS AI closes a record $455M Pre-A round led by Hillhouse, Sequoia China and Meituan, setting China’s largest single embodied-AI funding round. Full briefing.
AI Space Data Centers: Power the Next Generation of Robotics
From Starcloud's $170M Series A to Google's Project Suncatcher and China's operational LEO constellations, AI space data centers are moving from concept to infrastructure. Here's what the robotics industry needs to know.
Spirit AI × JD.com: Embodied AI Robots Enter Retail Operations at Scale
Spirit AI partners with JD.com to deploy embodied AI robots in retail, combining VLA models, real-world data loops, and scalable automation.
OpenAI Robotics Lead Caitlin Kalinowski Resigns After Pentagon AI Agreement
Caitlin Kalinowski resigns as robotics lead at OpenAI after the company’s AI cooperation agreement with the U.S. Department of Defense, highlighting tensions over military use of advanced AI systems.
The OpenClaw Test: Which Humanoid Robotics Companies Will Survive 2026?
How OpenClaw's AI agent orchestration exposes which humanoid robotics companies have genuine hardware innovation vs. expensive commodity robots with proprietary software.
Software-Defined Robots: The OpenClaw Paradigm
How OpenClaw's digital AI agent pattern is revolutionizing physical robotics through natural language control, ROS 2 middleware, and edge AI hardware—making robots reprogrammable through software instead of mechanical retooling.
Columbia's Emo: Solving Robot Face Problem
Columbia's Emo robot breakthrough reveals why facial biomimicry is robotics' second hardest challenge. Analysis of tech barriers and 2028-2030 timeline.
Is the NVIDIA-Siemens Partnership a Trojan Horse?
Media hailed it as a landmark alliance. But flip the view: it resembles a Trojan Horse. Siemens gains compute and world-model access; NVIDIA quietly secures control over industrial training data, model iteration, and world representation.
Flexible Machining of Large Structures (Part I)
Why mobile machining still struggles with stiffness, accuracy, and autonomy—and how hybrid robots, AI perception, and digital twins will drive breakthroughs over the next five years.
MIT Debuts Speech-to-Reality AI Robotics System
MIT unveils a Speech-to-Reality system that turns voice commands into physical objects using generative AI and robotic assembly, enabling rapid on-demand fabrication.
Flexion: The ETH Zurich Robotics Startup Building the Next-Generation AI “Robot Brain” for Embodied Intelligence
Learn how ETH Zurich-backed Flexion is building next-generation AI “robot brains” that enable embodied intelligence and adaptive autonomy for humanoid robots.
How Mimic Robotics is Bringing Physical AI to Dexterous Manipulation
Mimic Robotics combines dexterous robotic hands with foundation-model Physical AI to automate human-like manipulation tasks in industry with scalable learning.
Laser Weeding Robotics 2025 Carbon Robotics Global Lead Vs Hg Tech S China Challenge
Laser weeding robots in 2025 are reshaping agriculture, with Carbon Robotics leading globally while HG Tech pushes competitive innovation from China.
Nvidia's Jetson Thor Powers Leju Kuafu Robotic Revolutionary
Leju’s Kuafu robot uses NVIDIA’s Jetson Thor to run embodied AI models on-device, enabling stable multimodal perception and performance across industrial scenarios.
Synapath AI Secures Tens of Millions in Angel Funding to Mine “Embodied Data Gold” from Online Videos
Synapath AI secures multi-million-yuan angel funding to advance embodied robotics using large-scale video data and AI-driven training systems.
New AI System Could Accelerate Clinical Research
By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
