on-device AI

SK hynix has begun shipping mobile DRAM featuring industry-first High-K EMC, significantly improving thermal management. This innovation boosts thermal conductivity by 3.5x and reduces thermal resistance by 47%, mitigating heat issues in on-device AI applications, where rising data transfer rates generate considerable heat. The breakthrough is achieved by incorporating Alumina into Silica-based EMC. SK hynix aims to lead in next-generation mobile DRAM through continued material innovation, enhancing performance and extending device lifespan.

At the China International Supply Chain Expo, Qualcomm showcased 40 years of innovation, highlighting advancements in 5G-A, on-device AI, and collaborations across various sectors. Demonstrations featured Snapdragon-powered devices, including smartphones, PCs, and XR headsets, emphasizing generative AI applications. The company also displayed automotive solutions and IoT applications using the Qualcomm QET1100 platform. Qualcomm reaffirmed its commitment to working with Chinese partners to drive digital transformation and intelligent connectivity across industries.

Google DeepMind has introduced Gemini Robotics On-Device, an offline AI model for robots. This VLA model processes visual data, language, and actions on-device, enabling real-time responses to human commands. Designed for two-armed robots, it interprets natural language instructions. This offers advantages in critical scenarios by removing reliance on cloud connectivity. The model is built on Gemini 2.0 and competes with rivals like Nvidia and OpenAI in the robotics market.

Google launched the AI Edge Gallery, an app enabling on-device AI on smartphones. Sourced from Hugging Face, it allows users to run AI models offline with features like image-based question answering and text manipulation via a “Prompt Lab.” Performance varies based on device hardware and model size. The app is an experimental Alpha version, open-source under Apache 2.0, and encourages user feedback.