The DX-M1 and DX-M2 AI chips are designed for edge computing applications, offering significant power efficiency and performance improvements over traditional GPGPUs. Utilizing DEEPX's proprietary DXNN® SDK, these chips achieve high inference accuracy with reduced thermal output. The architecture supports intelligent quantization techniques, enhancing operational efficiency while minimizing total cost of ownership (TCO) for AI deployments in various environments.
DeepX and Aaeon Technology have entered into a three-year manufacturing agreement to scale the integration of DeepX’s AI chips into industrial and edge computing systems. This collaboration was announced during Computex Taipei 2026 and aims to establish a commercialization pipeline for DeepX’s neural processing units (NPUs). The agreement will facilitate the incorporation of these advanced chips into Aaeon’s range of products, including industrial computers, single-board computers, and edge gateway devices. This partnership reflects a growing demand for enhanced AI capabilities in various computing applications, positioning both companies to capitalize on the expanding market for intelligent edge solutions.
AI AI Funding & Investment AI Infrastructure & Compute Robotics Aaeon Technologies DEEPXA balanced analysis of the robot intelligence revolution: multi-vendor digital twin platforms (NVIDIA, Siemens, Dassault, ABB, Rockwell, Hexagon), Physical AI VLA models (RT-2, pi0, GR00T N1, AgiBot), current Physical AI limitations, LLM robot programming, and the OEM readiness matrix across US, European, and Chinese manufacturers.
Comprehensive analysis of Vietnam's robotics industry: market size, industrial policy, key companies (Vingroup, Apicoo, Phenikaa-X), geopolitical dynamics, and 2030 growth opportunities.
This week in robotics: NVIDIA’s Jensen Huang visits Seoul to deepen physical AI ties, Generalist AI raises $400M at $2B valuation, Amazon upgrades Proteus with natural-language control, and UBTECH humanoid attracts 1,200 pre-orders. June 1–5, 2026.
This week in robotics: Hyundai plans 25,000 Atlas robots for its factories, XPENG rolls off China’s first mass-produced L4 robotaxi, Singapore launches its first multi-operator physical AI testbed, and Kawasaki Heavy opens a Silicon Valley physical AI center with NVIDIA. May 18–22, 2026.
Military robotics is no longer a U.S.-centric story. Global defence spending crossed $2.75 trillion in 2026; defence-tech VC hit a record $49.1 billion in 2025; and a multipolar robotics order is crystallising in real time — with China’s 15th Five-Year Plan institutionalising civil-military fusion, Europe’s €381 billion defence budget financing its own AI champions, and Turkey and Israel reshaping the export market with affordable, combat-proven systems. Part Five of the Future Warfare Series maps the country-by-country competitive landscape, the collapsing regulation race, and the investment forces reshaping who builds — and who controls — the autonomous weapons of the next decade.
Inside the drone swarm revolution: Discover how Ukraine’s Swarmer tech, China’s AI formations, and the Pentagon's Orchestrator Prize are reshaping warfare.
A technology-first analysis of the three pillars driving industrial robot capability: precision reducers, servo systems, and motion controllers. Maps the full global supplier ecosystem — Japan, Europe, and China — from component specs to product generations and integration architectures.
Cross-domain robotics is reshaping modern warfare as drones, UGVs, AI targeting systems, and autonomous logistics converge into a single networked kill chain across land, sea, air, and software.
Construction robotics attracted $4.4 billion in built environment tech funding through Q3 2025. SoftBank acquired ABB Robotics for $5.375 billion. RaaS is displacing capex models. AI-native platforms command 39x revenue multiples. This is where money meets machines.
A new collaboration has been announced to enhance robotic AI infrastructure, focusing on the development of DX-M2-based technologies. This initiative aims to expand into VLA (Vision-Language-Action) and VLM (Vision-Language-Model) technologies, which are crucial for the advancement of next-generation intelligent robots. The partnership, involving key players in the robotics and AI sectors, seeks to leverage cutting-edge research and innovation to improve the capabilities of robotic systems. By integrating these advanced technologies, the collaboration aims to create robots that can better understand and interact with their environments, ultimately leading to more efficient and versatile applications in various industries. The project is set to unfold over the coming months, with initial developments expected to be showcased by early 2024. This strategic move is driven by the growing demand for intelligent automation solutions that can enhance productivity and address complex tasks across multiple sectors.
Global robotics shifts from CES 2026: humanoid commercialization accelerates, industrial AI deepens, labor tensions rise, and robotics markets recalibrate.
Excepteur sint occaecat cupidatat non proident
Leave a comment