Tagged "mobile"
- Qualcomm Reveals Snapdragon C with Advanced On-Device AI Engine
- Snapdragon C Specs Revealed: 6nm Process, On-Device AI Engine for Budget Laptops
- Snapdragon C Debuts with 6nm Process and Dedicated On-Device AI Engine
- MediaTek Dimensity 7500 Brings On-Device AI and Enhanced Power Efficiency to Mid-Range Phones
- MediaTek Launches Dimensity 8550 4nm SoC with Integrated On-Device AI Focus
- MediaTek Dimensity 8550 Shifts Focus to Gemini Nano V3 and On-Device AI on Phones
- Samsung's Exynos 2800 Brings HBM Memory to Mobile AI, Enabling Faster Local Model Inference
- Qualcomm's AI-Device Strategy Reflects Growing Market Momentum in On-Device Intelligence
- OpenAI Agents SDK Ported to React Native for Mobile Deployment
- Samsung's Exynos 2800 Brings Significant On-Device AI Capabilities
- Offline Voice-to-Text and AI Keyboard App for Local Processing
- Arm and Google Collaborate on On-Device AI Optimization Techniques
- I Put a Local LLM on My Phone and Stopped Needing Cloud AI for Most Tasks
- Anker's New 'Thus' Chip Brings 150x AI Power to Earbuds
- Google's Gemma 4: Powerful AI Models Optimized for Your Phone and Laptop
- Pocket LLM v1.5.0 Brings Multimodal AI to Android with No Cloud Required
- Google's Gemma 4 Could Put Powerful AI on Your Phone and Laptop
- Show HN: Phonetic Formatter – Offline English Text to IPA on iPhone and iPad
- Google's Gemma 4 Could Put Powerful AI on Your Phone and Laptop
- LLMs Consume 5.4x Less Mobile Energy Than Ad-Supported Web Search
- Sarvam Edge: India's Offline AI Model Runs on Phones and Laptops Without Internet
- Developer Turns Phone Into Local LLM Server with Vision, Voice, and Tool Calling Capabilities
- Google's Gemini Nano 4 Offers Faster, Smarter Local Inference Capabilities
- Samsung Integrates On-Device AI Features into Galaxy A-Series Smartphones
- Running a 1.7B Parameters LLM on an Apple Watch
- Google AI Edge Gallery Showcases Offline Inference with Gemma 4
- Google Launches Offline AI Dictation App for iOS with Gemma
- Apple Brings Enhanced On-Device AI Features to iPhone
- Google Previews Gemini Nano 4 for Android AICore with On-Device Capabilities
- Gemma 4 on Arm: Optimized On-Device AI for Mobile and Edge Deployment
- SmolLM2-360M Running on Samsung Galaxy Watch 4 with 74% Memory Reduction
- OLED Emerges as the Display Standard for Energy-Efficient AI Systems
- RF-DETR Nano and YOLO26 Enable On-Device Object Detection on Smartphones
- Running an Open-Weight LLM Locally on an Apple Watch