Google’s Pixel 8 Pro boasts a revolutionary AI-powered feature called Zoom Enhance that enhances zoomed-in photos with remarkable clarity and detail. This on-device technology, running directly on the Pixel 8 Pro and upcoming Pixel 9 Pro devices, improves image quality even for photos taken with other cameras stored in Google Photos.
Google’s recent I/O 2024 event highlighted the growing trend of AI integration into our lives. However, the question remains: is there a market for dedicated AI hardware when smartphones are becoming increasingly powerful in this regard? This article delves into the current state of AI gadgets and explores the advantages of on-device AI processing, particularly Google’s Gemini model, which offers the versatility, convenience, and cost-effectiveness that dedicated hardware struggles to match.
Samsung Electronics’ Galaxy AI-enabled mobile devices now empower users with barrier-free communication in 16 languages, including Arabic, Indonesian, and Russian, thanks to the expansion of Galaxy AI’s Interpreter and Live Translate features. Leveraging on-device AI, these features provide real-time translation during calls and across various applications while ensuring data privacy and security. Samsung Research’s Global AI Center played a pivotal role in developing this cutting-edge technology, combining data, proprietary technology, and advanced computing resources built into Galaxy devices.
Apple has released eight open source large language models (LLMs) called OpenELM, designed to run on-device rather than through cloud servers. These models are available on the Hugging Face Hub and include code, training logs, and multiple versions, enabling researchers and developers to investigate and modify them for various applications.
Apple has reportedly acquired Datakalab, a French AI startup specializing in on-device computer vision technology, to enhance the AI capabilities of its iPhone and other devices. The acquisition reinforces Apple’s commitment to developing on-device AI, following the recent acquisition of Canadian AI startup DarwinAI.
Apple is expected to make significant advancements in generative AI, integrating it into its devices without relying on cloud processing. This aligns with the company’s privacy-centric approach and follows industry trends. Apple’s acquisition of Datakalab and upcoming hardware updates suggest a focus on local AI processing and multimodal language models. The iPhone 16 and Macs featuring the M4 processor are likely to debut these AI capabilities, potentially matching industry standards for NPU performance.
