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In recommendation systems, user actions (eg, skip, like, dislike) provide an important signal about user preference, but can also quickly become unwieldy. Learn how we’ve applied transformers’ ability to process sequences of data to improve YouTube Music →goo.gle/4czHRRM

NeuralGCM masters, assemble! Put your knowledge to the test with this quick quiz and post your forecasts in the comments below. Level up your #AI knowledge today: goo.gle/3AwvqZU

What if the sounds of coughs & sneezes could be used to diagnose diseases? Researchers at Google have created an AI model called Health Acoustic Representations (HeAR), designed to identify acoustic biomarkers for diseases like tuberculosis. Read more →goo.gle/3Xa0GGM

430+ hours of video data, 100+ frames each second, all processed in 48 hours ✨ “That’s something that would not be possible with using [traditional] human annotators.” - Komal Singh. youtube.com/watch?v=2EDiHr…

Speculative RAG splits Retrieval Augmented Generation tasks into two separate steps of drafting followed by verification to provide high-quality answer candidates, and substantially improve the quality and speed of the final output generation. Learn more →

Today we introduce a new zero-shot, cross-lingual voice transfer module that can be easily plugged into a state-of-the-art TTS system to restore the voices of speakers with dysarthric speech. See it in action at youtube.com/watch?v=nOiGSq… and read more at goo.gle/4cyUWLq

Eliott Rosenberg heads Google's Quantum Hardware Residency, nurturing quantum computing talent. His breakthroughs as a student researcher led to advancements in magnetization dynamics, showcased in a Science paper. Explore his journey at Google Research. →goo.gle/3XdACdS

Today on the blog, learn how we redesigned model-loading code for the web in order to overcome several memory restrictions and enable running larger (7B+) LLMs in the browser using our cross-platform inference framework, Google AI Edge's MediaPipe. →goo.gle/4cEDtBg

Climate modeling reimagined. NeuralGCM offers a novel way to build faster, more accessible climate models. Swipe to learn more about this revolutionary #AI tool - speed, efficiency, and #opensource. Join us on @GitHub: github.com/google-researc…

Oran Lang innovates at Google, advancing medical explainability with Generative AI and now with Gemini. His project, StylEx, uses StyleGAN to visualize decision-making. This breakthrough aids understanding and detects biases, opening new research avenues. Explore Oran's impactful

Congratulations to Bryan Perozzi (Bryan Perozzi) et al. for winning the ACM SIGKDD Test of Time Award for “DeepWalk: Online Learning of Social Representations”, which set the stage for graph neural network research. arxiv.org/abs/1403.6652 #KDD2024 SIGKDD 2024

“Dana Scully from the X-files was breaking stereotypes and I thought of her to be my hero.” - Komal Singh According to a 2018 report by Geena Davis Institute, 63% of women in STEM identified fictional agent Scully as their role model growing up. Who's yours?

On August 27, we returned to Seoul to host Research@ Korea. Researchers spoke about topics including NotebookLM, Med-Gemini, the UX of AI agents, and Connectomics. We also heard from the Korean startup and academic communities. Special thanks to our guests, visiting speakers,

Interested in learning how AI tools and resources can help nonprofit organizations around the world achieve social impact? Tune in on September 4th for the first ever @GoogleOrg Impact Summit. → goo.gle/impact-summit-…

Our Head of Google Research, Yossi Matias, sits down with Dr. R. Kim, Chief Medical Officer of Aravind Eye Hospital for an inspiring fireside chat! Discover how #AI is transforming vision care, helping prevent blindness, and improving lives worldwide: goo.gle/4d7BLst

From pixels to people patterns: #AI powered by Dr. Ellis Monk's Skin Tone Scale showcases a major leap towards understanding and reflecting the rich diversity of human skin tones in media. Learn more → youtube.com/watch?v=2EDiHr…

Read about a new Heat Resilience tool that applies AI to satellite and aerial imagery, helping cities quantify how they can reduce surface temperatures with cooling interventions, such as planting trees and installing highly reflective surfaces on roofs. blog.google/outreach-initi…

Yesterday’s inaugural @GoogleOrg Impact Summit shared three key focus areas for our work in the future: Knowledge, Skills, and Learning, Scientific Advancement, & Resilient Communities. Learn more about the focus areas & new funding initiatives → goo.gle/google-org-imp…

Is NeuralGCM an atmospheric or climate model? Swipe to see the answer and why it matters. Learn more about how NeuralGCM is changing #AI modeling at: goo.gle/3Xg7f9H