Favorite Gemini is our most capable and general model, built to be multimodal and optimized for three different sizes: Ultra, Pro and Nano. View Original Source (blog.google/technology/ai/) Here.
Favorite This post is written in collaboration with Balaji Chandrasekaran, Jennifer Cwagenberg and Andrew Sansom and Eiman Ebrahimi from Protopia AI. New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption
Favorite A team of Googlers focused on responsible innovation visited the Fort Peck Tribes in Montana to engage in relationship-building and bidirectional learning. View Original Source (blog.google/technology/ai/) Here.
Favorite Mira Lane explores how AI is empowering creativity with pioneering artist Refik Anadol. View Original Source (blog.google/technology/ai/) Here.
Favorite The current draft v. 0.0.3 of the Open Source AI Definition borrows wordings from the GNU Manifesto’s golden rule stating: If I like a program, I must be able to share it with others who like it. The GNU Manifesto The GNU Manifesto refers to “program” (not “AI system”),
Favorite The meeting of the Digital Public Goods Alliance (DPGA) members in Addis Ababa was very informative. The OSI led a workshop to define Open Source AI and joined the subsequent presentation by the AI Community of Practice (CoP) of the DPGA. There were about 40 people in the room,
Favorite Posted by Dave Hawkey, Software Engineer, Google Research Two years ago we announced Project Guideline, a collaboration between Google Research and Guiding Eyes for the Blind that enabled people with visual impairments (e.g., blindness and low-vision) to walk, jog, and run independently. Using only a Google Pixel phone and
Favorite AI has the potential to mitigate 5-10% of global greenhouse gas emissions according to our new report with Boston Consulting Group. View Original Source (blog.google/technology/ai/) Here.
Favorite Posted by Isaac Noble, Software Engineer, Google Research, and Anelia Angelova, Research Scientist, Google DeepMind When building machine learning models for real-life applications, we need to consider inputs from multiple modalities in order to capture various aspects of the world around us. For example, audio, video, and text all
Favorite Today we’re sharing an AI Opportunity Agenda to provide concrete policy recommendations to help AI benefit as many people as possible. View Original Source (blog.google/technology/ai/) Here.