Latest Edge AI News & Updates
AI that runs on-device — phones, cars, cameras and sensors. Privacy-friendly, latency-free inference outside the cloud.
323 articles
Capital Backs Om AI’s Edge Physical AI Push
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.
AI Gives Ukrainian Kamikaze Drones Autonomous Target Tracking
US company Auterion is providing AI capabilities that allow Ukraine’s low-cost kamikaze drones to track targets autonomously. A $100 million deal will equip 50,000 Ukrainian drones with the US-developed technology.
New Deepal S05 SUV Launches with Advanced AI Driving
The new Deepal S05 features the Tianzhu intelligent driving system, powered by dual Horizon J6M chips and end-to-end algorithms. It integrates advanced cabin AI, including a 3nm cockpit chip and large-model voice interaction.
CXMT Nears Mass Production of 12,800 Mbps LPDDR6 DRAM
ChangXin Memory Technologies (CXMT) is finalizing validation for its LPDDR6 mobile DRAM, targeting a 12,800 Mbps design rate. The company is positioning itself for mass production by H2 2026, with Apple currently evaluating the technology.
OPPO completes regulatory filing for on-device AI
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.
Mianbi Intelligence's edge models to power Samsung phones
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.
OpenAI and StepFun challenge the AI hardware market
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.
Qualcomm Acquires Nexa AI to Boost On-Device AI
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.
Step AOS: The World's First Agent-Native Operating System
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.
Everything you need to know about Copilot+ PCs
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.
VultronRetriever: High-Performance Offline Retrieval Models Released
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.
Star Origin Secures Funding to Build Space Data Centers
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.
Kyutai Releases Pocket TTS for CPU-based Voice Cloning
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.
Global first: Edge-side streaming multimodal model released
A Hangzhou-based team has successfully deployed a streaming multimodal model to the edge, marking a significant milestone for CVPR 2026 trends.
onsemi to acquire Synaptics for $7B in physical AI bet
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.
Liquid AI Launches LFM2.5-230M for High-Efficiency Edge Computing
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.
Nvidia Focuses on Humanoid Robot Safety and Awareness
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.
Intel and AMD release ACE CPU extension for local AI
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.
Qualcomm Nears $4 Billion Deal for Modular
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.
First In-Orbit Zero-Shot Vision-Language Model Demonstration
NAVI-Orbital successfully demonstrated the first in-orbit autonomous multi-modal inference using a vision-language model on a LEO satellite. The system utilizes Gemma 3 to classify imagery and respond to natural-language queries, enabling semantic compression of Earth observation data.
Nvidia CEO Jensen Huang Unveils New AI Tech in Korea
Nvidia CEO Jensen Huang announced four new AI business initiatives in South Korea, including the Vera Rubin platform and Jetson Thor robotics platform. The company is also establishing a new AI technology center in Korea to recruit local engineering talent.
Google Releases Open-Source Gemma 4 12B Multimodal Model
Google has released the Gemma 4 12B multimodal model, designed to run locally on consumer hardware. It offers performance comparable to the 26B version while requiring only 16GB of memory.
Google Releases Gemma 4 12B Multimodal Model for Local PCs
Google has launched 'Gemma 4 12B', an open multimodal model designed for efficiency. It features an encoder-free architecture that allows it to run on laptops with 16GB of RAM.
Microsoft announces Project Solara, an OS for AI agents
Microsoft unveiled Project Solara at Build 2026, an Android-based operating system specifically designed for AI agent-driven hardware. The platform supports devices like smart desks and wearable badges.
Nvidia Unveils Agentic AI Hardware at Computex
Nvidia CEO Jensen Huang announced a new suite of hardware including the Vera data center chip, RTX Spark for PCs, and Cosmos 3 for robotics. These products aim to support the shift toward autonomous agentic AI workflows.
Nvidia Announces RTX Spark PC Processor with MediaTek CPU
Nvidia unveiled the RTX Spark, a new PC processor combining a 20-core MediaTek Grace CPU with a Blackwell-based RTX GPU. The platform is designed for high-performance AI tasks, delivering up to 1 petaFLOP of AI performance.
Nvidia Developing Proprietary CPU for Laptops
Rumors suggest Nvidia is working on a proprietary CPU for high-performance laptops, potentially challenging the dominance of Apple Silicon and x86 architectures.
Liquid AI releases LFM2.5-8B-A1B edge model
Liquid AI has launched LFM2.5-8B-A1B, an upgraded edge model featuring a 128K context window and 38T tokens of pre-training. It is designed to handle complex tasks and tool calling while remaining efficient enough to run on entry-level laptops.
Alibaba XuanTie 9 Series Now Supports Android
Alibaba DAMO Academy's XuanTie 9 series processors have successfully adapted to Android 16. This milestone marks a significant step for RISC-V architecture in commercial Android ecosystem deployment.
Does using your phone while charging affect battery health?
This article explores the impact of concurrent usage and charging on smartphone battery longevity. It separates common myths from technical realities regarding thermal management and power cycles.