Panasonic Brings LLMs to Industrial IoT Edge
Panasonic integrates large language models into its industrial IoT edge devices, enabling real-time AI inference on fact…
🏷️ edge AI
47 articles about 'edge AI'
Samsung Gauss 3 Targets On-Device AI for Galaxy
Samsung unveils Gauss 3, its latest language model designed to power on-device AI experiences across Galaxy smartphones …
Hugging Face Unveils SmolLM 3 for Edge AI
Hugging Face releases SmolLM 3, a compact language model designed to run efficiently on smartphones, IoT devices, and la…
VinAI Advances Efficient Vision Transformers
Vietnam's VinAI Research publishes cutting-edge work on making Vision Transformers faster and lighter for real-world dep…
Hugging Face Launches Open-Source Small Model Toolkit
Hugging Face releases a new open-source toolkit designed to simplify fine-tuning small language models under 3B paramete…
RIKEN Builds Brain-Like Chip Architecture for Edge AI
Japan's RIKEN institute unveils neuromorphic computing architecture that mimics biological neural networks to run AI at …
IISc Bangalore Achieves Breakthrough in Neural Network Pruning
Indian Institute of Science researchers develop novel energy-efficient pruning method that cuts AI model compute costs b…
Snapdragon X Elite Runs 13B Parameter AI Models on Laptops
Qualcomm's Snapdragon X Elite chip brings 13 billion parameter LLMs to consumer laptops, signaling a major shift toward …
Microsoft Phi-4 Mini Brings AI to Edge Devices
Microsoft launches Phi-4 Mini, a compact language model optimized for edge deployment with breakthrough efficiency on re…
Arm Unveils AI-Optimized CPU for Edge Devices
Arm Holdings launches new CPU architecture designed to bring advanced AI inference to edge computing devices with up to …
Microsoft Phi-5 Beats GPT-4 on Edge Devices
Microsoft's new Phi-5 small language model delivers GPT-4-level performance while running locally on smartphones and lap…
Axera's Dual-Engine Strategy: Auto Chips and Edge AI
Chinese AI chip maker Axera bets on automotive intelligence and edge inference as twin growth pillars after Hong Kong IP…