Galbot Unveils DexNDM & NavFoM: Major Breakthroughs in Embodied AI for Robotics

Robotics firm Galbot has announced two significant technological advancements in embodied intelligence: DexNDM and NavFoM. DexNDM is a neural dynamics model designed to enhance robotic dexterous manipulation, enabling robots to perform high-precision, in-hand rotations of various objects. NavFoM is presented as the world’s first cross-embodiment, cross-task navigation foundation model, allowing robots to autonomously perform complex tasks in diverse environments. These innovations, developed with Tsinghua and Peking University, integrate DexNDM into a teleoperation system for intricate tasks like tightening screws with high-level human commands. These advancements are poised to revolutionize industries like manufacturing, logistics, and healthcare by improving the adaptability and efficiency of robots in real-world settings.

Generative AI Evolution: OpenAI Launches GPT-5.1, xAI Introduces Text-to-Video

OpenAI has released GPT-5.1, an update making ChatGPT more responsive and personalized with improved speed and context-aware dialogue. The company is also testing a new Group Chat feature, allowing multiple users to interact with the AI in a shared conversation. In the text-to-video space, xAI’s Grok has introduced ‘Grok Imagine,’ a feature that generates short video clips from text prompts. Other key advancements include the release of Kling 2.5 Turbo for enhanced control in AI video generation, and Meta’s Omnilingual Automatic Speech Recognition system supporting 1,600 languages.

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The AI Arms Race: Google’s Gemini 3.0 Pro, OpenAI’s Sora 2, and Anthropic’s Claude Haiku 4.5 Released

Recent weeks have seen significant new releases from major AI labs. Google has quietly rolled out Gemini 3.0 Pro to select users, alongside Gemini 2.5 Computer Use, a model designed for AI agents to interact with user interfaces. OpenAI has launched Sora 2, a video generation model capable of producing cinema-quality 60-second videos, now in public preview on Azure AI Foundry. OpenAI also released Atlas, an AI-powered web browser. Concurrently, Anthropic has released Claude Haiku 4.5, a model optimized for real-time applications. These developments signal a trend towards more powerful and specialized AI models being integrated across various platforms.

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IBM Accelerates Quantum Computing with Nighthawk & Loon Processors

IBM has announced significant progress towards achieving quantum advantage by 2026 and fault-tolerant quantum computing by 2029. At its annual Quantum Developer Conference, the company unveiled two new experimental processors, ‘Nighthawk’ and ‘Loon’. Nighthawk is a 120-qubit chip designed to handle circuits with 30% more complexity than previous processors, supporting algorithms with up to 5,000 two-qubit gates. The ‘Loon’ processor demonstrates the necessary hardware components for scalable quantum error correction, a critical step for fault-tolerant systems. IBM also updated its Qiskit software, achieving a 24% accuracy increase at the 100+ qubit scale and reducing costs through enhanced error mitigation. To support this rapid development, IBM has doubled its development speed by shifting quantum processor production to a 300mm wafer fabrication facility.

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Chinese Researchers Develop Photonic Quantum Chip for 1000x Faster AI

Researchers in China have developed a new photonic quantum chip claimed to increase the speed of AI data centers by a factor of 1,000. This development marks a significant advancement in applying quantum computing to complex computational tasks. The chip is specifically designed to boost performance for artificial intelligence applications, addressing the sector’s growing demand for immense processing power. This breakthrough highlights the ongoing global race to achieve quantum supremacy and apply quantum technologies to solve real-world problems.

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