Try ImageFX and MusicFX, our newest generative AI tools in Labs
Favorite ImageFX, MusicFX and TextFX help you bring your most creative ideas to life with Google’s latest AI capabilities. View Original Source (blog.google/technology/ai/) Here.
Bard’s latest updates: Access Gemini Pro globally and generate images
Favorite We’re expanding Gemini Pro in Bard to all supported languages and bringing text-to-image generation into Bard. View Original Source (blog.google/technology/ai/) Here.
New ways to improve health outcomes in South Yorkshire
Favorite Google Health is investing in groundbreaking health tech research, apprenticeships and upskilling in the South Yorkshire region. View Original Source (blog.google/technology/ai/) Here.
MobileDiffusion: Rapid text-to-image generation on-device
Favorite Posted by Yang Zhao, Senior Software Engineer, and Tingbo Hou, Senior Staff Software Engineer, Core ML Text-to-image diffusion models have shown exceptional capabilities in generating high-quality images from text prompts. However, leading models feature billions of parameters and are consequently expensive to run, requiring powerful desktops or servers (e.g.,
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Shared by Google AI Technology January 31, 2024
5 ways to use Circle to Search
Favorite Circle to Search is now available on select premium Android smartphones — here are some helpful ways to use it. View Original Source (blog.google/technology/ai/) Here.
An AI opportunity agenda for ASEAN
Favorite We’re publishing an AI Opportunity whitepaper to help ASEAN governments tap into AI’s vast potential. View Original Source (blog.google/technology/ai/) Here.
Mixed-input matrix multiplication performance optimizations
Favorite Posted by Manish Gupta, Staff Software Engineer, Google Research AI-driven technologies are weaving themselves into the fabric of our daily routines, with the potential to enhance our access to knowledge and boost our overall productivity. The backbone of these applications lies in large language models (LLMs). LLMs are memory-intensive
Read More Shared by Google AI Technology January 26, 2024
Exphormer: Scaling transformers for graph-structured data
Favorite Posted by Ameya Velingker, Research Scientist, Google Research, and Balaji Venkatachalam, Software Engineer, Google Graphs, in which objects and their relations are represented as nodes (or vertices) and edges (or links) between pairs of nodes, are ubiquitous in computing and machine learning (ML). For example, social networks, road networks,
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Chrome is getting 3 new generative AI features
Favorite Three experimental generative AI features are coming to Chrome on Macs and Windows PCs to make browsing easier and more personalized. View Original Source (blog.google/technology/ai/) Here.
Introducing ASPIRE for selective prediction in LLMs
Favorite Posted by Jiefeng Chen, Student Researcher, and Jinsung Yoon, Research Scientist, Cloud AI Team In the fast-evolving landscape of artificial intelligence, large language models (LLMs) have revolutionized the way we interact with machines, pushing the boundaries of natural language understanding and generation to unprecedented heights. Yet, the leap into
Read More Shared by Google AI Technology January 18, 2024