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Key Facts

Key ChipsSnapdragon, Apple Neural Engine

Key PlayersQualcomm, Apple, NVIDIA

Top News

Minisforum N5 Max AI NAS runs local AI models with OpenClaw despite security concerns

Minisforum unveiled its N5 Max AI NAS, designed to run large language models locally with OpenClaw pre-installed. Powered by AMD's Ryzen AI Max+ 395 processor and supporting up to 190TB storage, the device aims to serve as both a network-attached storage system and a self-hosted AI server. However, the decision to pre-install OpenClaw raises questions given recent security vulnerabilities and government restrictions on the framework.

Technology3 sources

Minisforum N5 Max AI NAS runs local AI models with OpenClaw despite security concerns

Technology3 sources

Perplexity Personal Computer turns Mac mini into 24/7 AI agent with local file access

Perplexity unveils Personal Computer at its Ask 2026 developer conference, transforming Mac mini devices into persistent AI agents. The system grants AI access to local files and applications while running continuously, controlled remotely from any device. CEO Aravind Srinivas positions it as a digital proxy that never sleeps, though security concerns prompt safeguards including audit trails and kill switches.

Technology11 sources

Perplexity Personal Computer turns Mac mini into 24/7 AI agent with local file access

Technology11 sources

Intel Wildcat Lake leak reveals 15W budget AI PC chip with 40 TOPS for entry-level laptops

Intel's upcoming Wildcat Lake processor has surfaced through leaked shipping documents, revealing a low-power AI PC chip designed for budget laptops and mini PCs. The chip features a 15W TDP, 40 TOPS of AI performance, and a unique 2+4 core configuration with Cougar Cove performance cores and LP-E efficiency cores, positioning Intel to bring AI capabilities to entry-level systems.

Technology2 sources

Intel Wildcat Lake leak reveals 15W budget AI PC chip with 40 TOPS for entry-level laptops

Technology2 sources

ASUS NUC 16 Pro delivers 180 TOPS AI performance in compact mini desktop PC form factor

ASUS unveiled the NUC 16 Pro, a compact mini PC powered by Intel Core Ultra X-series processors with up to 180 TOPS of AI performance. The 0.7-liter machine handles demanding AI and enterprise workloads through its CPU+GPU+NPU combination, featuring Intel Arc B390 GPU and 50 TOPS NPU. Pricing starts at $999 for barebone configurations, while fully equipped models with Core Ultra X7 358H reach $1,600.

Technology3 sources

ASUS NUC 16 Pro delivers 180 TOPS AI performance in compact mini desktop PC form factor

Technology3 sources

AMD Ryzen AI Embedded P100 Series Targets Edge AI and Industrial Applications with Zen 5

AMD expands its Ryzen AI Embedded P100 series with processors featuring up to 12 Zen 5 cores, RDNA 3.5 graphics, and 50 AI TOPS for edge AI and industrial applications. The new chips deliver up to 39% higher multithreaded performance and support advanced workloads including Llama3.2-Vision 11B, while offering ROCm open-source AI software stack compatibility for simplified deployment.

Technology2 sources

AMD Ryzen AI Embedded P100 Series Targets Edge AI and Industrial Applications with Zen 5

Technology2 sources

SK hynix validates LPDDR6 memory, 33% faster and 20% more efficient for on-device AI devices

SK hynix has successfully validated its first LPDDR6 DRAM, delivering speeds over 10.7 Gbps—33% faster than LPDDR5X—with 20% better power efficiency. Built on a 10nm-class process, the memory targets smartphones and tablets with on-device AI capabilities, though supply concerns loom as AI device makers compete for limited availability.

Technology5 sources

SK hynix validates LPDDR6 memory, 33% faster and 20% more efficient for on-device AI devices

Technology5 sources

Neura Robotics Qualcomm partnership targets next generation of robots with Physical AI

German robotics startup Neura Robotics has partnered with semiconductor giant Qualcomm to advance AI-powered robotics using Qualcomm's Dragonwing IQ10 processors. The collaboration aims to accelerate deployment of humanoid and general-purpose robots across domestic and industrial settings, marking a growing trend where robotics companies partner with tech giants rather than just being customers.

Technology2 sources

Neura Robotics Qualcomm partnership targets next generation of robots with Physical AI

Technology2 sources

Razer unveils fully agentic AI companion AVA at GDC 2026, promising task automation beyond chat

Razer showcased an upgraded version of its AI companion AVA at GDC 2026, transforming it from a gaming-focused helper into a fully agentic system capable of understanding goals, planning tasks, and executing actions across apps and devices. The assistant runs both locally and in the cloud, with a Q2 2026 launch planned.

Technology2 sources

Razer unveils fully agentic AI companion AVA at GDC 2026, promising task automation beyond chat

Technology2 sources

Qualcomm unveils Arduino Ventuno Q, a powerful AI board designed to bring robotics offline

Qualcomm and Arduino launched the Ventuno Q, a single-board computer that combines AI processing with robotics control. The device features the Dragonwing IQ8 processor delivering 40 TOPs of compute power and runs entirely offline. Expected in Q2 2026 for under $300, it targets developers building autonomous systems, smart kiosks, and industrial applications without cloud dependency.

Technology6 sources

Qualcomm unveils Arduino Ventuno Q, a powerful AI board designed to bring robotics offline

Technology6 sources

ABB and Nvidia partner to transform factory robot training with physically accurate simulation

ABB Robotics has partnered with Nvidia to integrate Omniverse libraries into its RobotStudio platform, achieving 99% accuracy between virtual training and real-world robot performance. The collaboration aims to reduce deployment costs by up to 40% and accelerate time to market by 50%, with Foxconn already piloting the technology for consumer electronics assembly ahead of the 2026 launch.

Technology3 sources

ABB and Nvidia partner to transform factory robot training with physically accurate simulation

Technology3 sources

Alibaba launches Qwen 3.5 small AI models for edge devices with offline capabilities

Alibaba unveiled its Qwen 3.5 series featuring compact AI models ranging from 800 million to 9 billion parameters, optimized for edge devices like smartphones and IoT systems. The models enable local computation with enhanced privacy and offline functionality, challenging the industry trend of massive cloud-based systems while delivering competitive performance on benchmarks like MMLU.

Technology3 sources

Alibaba launches Qwen 3.5 small AI models for edge devices with offline capabilities

Technology3 sources

Oura acquires Doublepoint to bring gesture controls to its $11 billion smart ring platform

Smart ring leader Oura has acquired Helsinki-based Doublepoint Technologies to integrate gesture recognition technology into future products. The deal brings AI-powered hand gesture controls that could transform how users interact with Oura's smart rings, though CEO Tom Hale cautions implementation won't happen immediately. The acquisition follows Oura's valuation of $11 billion and targets of over $1.5 billion in sales for 2026.

Technology4 sources

Oura acquires Doublepoint to bring gesture controls to its $11 billion smart ring platform

Technology4 sources

Eight Sleep raises $50M at $1.5B valuation to build predictive AI agent for sleep optimization

Sleep technology company Eight Sleep secured $50 million in strategic funding led by Tether Investments, reaching a $1.5 billion valuation. The company plans to develop a sleep-focused AI agent trained on over 1 billion hours of sleep data while advancing FDA filings for sleep apnea detection and expanding globally across 34 countries.

Startups2 sources

Eight Sleep raises $50M at $1.5B valuation to build predictive AI agent for sleep optimization

Startups2 sources

Microsoft releases Phi-4 multimodal model that knows when thinking wastes time

Microsoft unveiled Phi-4-reasoning-vision-15B, a compact 15-billion-parameter model trained on just 200 billion tokens—five times less than competing systems. The open-source AI model intelligently activates chain-of-thought reasoning for complex math and science problems while staying silent on simple tasks like image captioning, delivering competitive performance with a fraction of the compute cost.

Technology2 sources

Microsoft releases Phi-4 multimodal model that knows when thinking wastes time

Technology2 sources

Accenture acquires Ookla for $1.2B to power AI-driven network intelligence across enterprises

Accenture has agreed to acquire Ookla, owner of Speedtest and Downdetector, for $1.2 billion in cash from Ziff Davis. The deal positions Accenture to integrate real-time connectivity data into enterprise services, helping telecom operators, cloud providers, and businesses optimize networks that support AI adoption and digital infrastructure as network performance becomes critical to scaling AI systems.

Business3 sources

Accenture acquires Ookla for $1.2B to power AI-driven network intelligence across enterprises

Business3 sources

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