
D-Robotics Raises $400 Million
Chinese robotics company D-Robotics has completed a $400 million Series C funding round. The capital will support its Sunrise chip portfolio and full-chain software platform for robot development.
TechNode · 1d ago
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Chinese robotics company D-Robotics has completed a $400 million Series C funding round. The capital will support its Sunrise chip portfolio and full-chain software platform for robot development.
TechNode · 1d ago

Arm is expanding beyond its traditional CPU IP licensing model toward broader platform capabilities spanning cloud AI, edge AI, and physical AI. The company argues that future AI performance will depend on coordinating CPUs, GPUs, and other compute units rather than optimizing a single chip.
极客公园 · 3d ago
OPPO and other major manufacturers have completed the mandatory regulatory filing for their on-device generative AI services. The company states this is a standard compliance action to align with national AI model regulations.
36氪 · 66d ago
Mianbi Intelligence has partnered with Samsung to integrate its MiniCPM series of edge AI models into flagship devices. This move highlights the growing trend of AI model providers supplying specialized edge capabilities to major smartphone manufacturers.
36氪 · 66d ago

OpenAI and StepFun are aggressively entering the AI hardware space, signaling a new wave of competition. This move challenges existing players and highlights the integration of LLMs into physical devices.
钛媒体 · 66d ago

Qualcomm has acquired Nexa AI, a 12-person startup known for its 'NPU First' approach to on-device model deployment. The team will integrate their software into Qualcomm's ecosystem as GenieX.
虎嗅 · 66d ago

Step AI has launched Step AOS, an operating system designed specifically for AI agents, moving beyond traditional 'OS+AI' models. It features a unique memory, decision-making, and execution architecture to enable seamless human-agent interaction.
雷峰网 · 67d ago

Copilot+ PCs represent a new hardware category featuring local AI processing, smarter search, and improved battery efficiency. These devices require specific hardware standards to support advanced AI-native features.
Digital Trends · 68d ago
The VultronRetriever family of models has been released on HuggingFace, offering state-of-the-art retrieval performance for edge devices. These models range from 0.8B to 8B parameters and are optimized for offline Q&A and document embedding.
Reddit r/MachineLearning · 70d ago
Star Origin has raised tens of millions in seed and angel rounds to develop space-based computing satellites. The company aims to deploy GPU-based data centers in orbit to run large language models directly in space.
36氪 · 74d ago

Kyutai has released Pocket TTS, a 100M parameter model capable of zero-shot voice cloning on CPUs using only 5 seconds of audio. It outperforms competitors in flexibility by allowing user-supplied voices without fine-tuning.
Reddit r/LocalLLaMA · 75d ago

A Hangzhou-based team has successfully deployed a streaming multimodal model to the edge, marking a significant milestone for CVPR 2026 trends.
量子位 · 84d ago

onsemi is acquiring Synaptics in a $7 billion all-stock deal, signaling a major strategic shift toward edge-based 'physical AI'. The move aims to integrate AI capabilities directly into industrial, automotive, and robotic hardware.
The Next Web (TNW) · 85d ago

Liquid AI has released LFM2.5-230M, a 230-million-parameter model designed for high-performance data extraction on edge devices. It utilizes the LFM2 architecture to outperform larger models while maintaining a memory footprint under 400MB.
VentureBeat · 85d ago
Nvidia is prioritizing the development of safety-critical AI for humanoid robots, focusing on real-time danger recognition. The company aims to enable robots to work safely alongside humans in dynamic environments.
Bloomberg Technology · 86d ago

Intel and AMD have jointly released the ACE CPU extension specification to optimize matrix multiplication on x86 architectures. This update aims to improve energy efficiency and compute density, allowing AI models to run locally on CPUs without dedicated GPUs.
cnBeta (Full RSS) · 88d ago
Qualcomm is in advanced talks to acquire AI chip startup Modular in a deal valued at approximately $4 billion. This move signals Qualcomm's intent to strengthen its AI hardware and software stack capabilities.
Bloomberg Technology · 88d ago

sanoTTS is an open-source text-to-speech stack offering models from 294K to 2.2M parameters, including a quantized 337 KB version designed for a $3 microcontroller. The project supports 11 voices and 6 languages, runs in WebAssembly, and reports real-time-factor performance of 0.225 on an ESP32.
Reddit r/LocalLLaMA · 15d ago

iFLYTEK’s wholly owned subsidiary has open-sourced Spark X2.5-4B and X2.5-1.7B. The company says these are the first edge models to natively support context windows of up to one million tokens.
Pandaily · 17d ago

NVIDIA announced the Jetson Orin Nano 2, a new AI module for embedded devices. Compared with the current 8GB Jetson Orin Nano, it delivers twice the inference performance while using 40% less power at equivalent performance.
ITmedia AI+ (日本) · 24d ago

Samsung unveiled LPDDR5X-PIM, an LPDDR5X memory product with logic integrated directly into the memory. Samsung claims it delivers 3.01x faster AI inference and 8x the bandwidth of standard LPDDR5X.
Tom's Hardware · 24d ago

Apple introduced the M6 chip for Macs alongside the M5 Ultra, which it calls its most powerful chip. The M6 is built on a 2nm process, adds CPU cores over the M5, and includes a Dual 16-core Neural Engine for on-device AI workloads.
The Verge · 25d ago

Forensic teams say a Russian Molniya drone carrying an Nvidia Jetson Orin module killed three civilians at a gas station in Zaporizhzhia. The incident is described as the first documented civilian death case involving a Russian drone using fully autonomous targeting.
Tom's Hardware · 25d ago
An independently developed 250M-parameter language model was trained on 30B FineWeb tokens and quantized below two bits per parameter. Its compiled runtime reportedly occupies 60MB, uses about 80MB of RAM, and reaches roughly 400 tokens per second on a typical laptop CPU.
Reddit r/LocalLLaMA · 26d ago

A Chinese-led team from Nanjing University and the National University of Singapore developed 光语芯, an ultra-low-power intelligent vision sensor chip that directly converts light into tokens. The tokens can be fed into an encoder for image recognition.
cnBeta (Full RSS) · 30d ago
SpaceX and NVIDIA have unveiled Starmind AI1, a satellite computing payload designed to use solar power for lower-cost, high-performance AI workloads in orbit. The initiative extends SpaceX’s Starlink, launch, and satellite-manufacturing capabilities into space-based computing, though its economics and scalability remain unproven.
虎嗅 · 34d ago

Nvidia has released Nemotron 3.5 Lightning, described as its first open-source AI model. The lightweight model is designed to run on a single GPU in a personal computer, potentially making local experimentation more accessible.
cnBeta (Full RSS) · 39d ago

Om AI has introduced an edge-native VLX model designed to deliver precise perception of the physical world with a small parameter count. The article positions the model as a 3B-scale system and argues that better architecture, rather than simply more compute, can drive industry progress.
量子位 · 40d ago

Qianhai Fund is reportedly investing several hundred million yuan in Om AI, signaling strong investor confidence in edge-based physical AI. Om AI is also accelerating the commercial deployment of edge AI technologies.
量子位 · 46d ago

Hugging Face introduces Cosmos 3 Edge, a new model optimized for edge computing environments. This release focuses on delivering high-performance AI capabilities in resource-constrained settings.
Hugging Face Blog · 61d ago