2026 Isn’t Over, Yet $48 Billion Has Already Flowed Into Physical AI

Global investment in robotics and physical AI is surging. With nearly $48 billion raised in just over nine months, capital is flowing beyond robot hardware and into foundation models, training infrastructure, and real-world deployment. The heat is intense—and shows no sign of fading. Global capital continues to pour into embodied AI at a remarkable pace. […]

World Models: AI’s Physical Intuition or the Next Tech Bubble?

From video generation to real-world robotics, world models are emerging as a key concept in Physical AI. But can they truly help machines understand the physical world, or is the industry getting ahead of itself? 1. The News: World Models Move into the Physical AI Spotlight World models are becoming one of the most talked-about […]

Strategic Partnership Between WITEX 2027 and AIM Global: Building a Global Industrial Ecosystem for Physical AI and AIDC Technologies

WITEX 2027 World Intelligent Technology Expo, the flagship global exhibition for Generalized Physical AI full‑value‑chain industry, announces its official strategic partnership with AIM Global, the world‑renowned non‑profit association for Automatic Identification and Data Capture (AIDC). Both parties will pool industrial resources to boost adoption of AIoT, auto‑ID and sensing technologies across European markets. With over […]

Figure and Nscale Forge Strategic Partnership, Raising the Bar for Physical AI

On September 3, 2026, humanoid robotics leader Figure and AI cloud infrastructure provider Nscale announced a major strategic partnership. Far more than a conventional commercial agreement, the deal signals a significant shift in the competitive landscape for embodied and physical AI, as leading players move to secure the computing infrastructure required to scale their systems […]

Dropout Is Dead. Long Live Dropout.

In 2025, Stanford researchers did something that would have sounded almost heretical a decade ago. They published a paper at ACL titled “Drop Dropout.” Yes: drop dropout. Dropout was introduced by Geoffrey Hinton and his colleagues in 2012 as a way to prevent overfitting in deep neural networks. It quickly became one of the foundational […]