Channel Title: Google Research Channel Description: Welcome to the official YouTube channel for Google Research. Explore video content that tackles state of the art research across Google like ML/AI, robotics, theory and algorithms, quantum computing, health, bioscience, and much more. Learn about the latest publications, research breakthroughs and the people behind them. Subscribe to get updates and enjoy! <video> A Conversation on Language AI Description: More than 7,000 languages are spoken around the world, and only a few are well represented online today. This means traditional approaches to training language models on text from the web fail to capture the diversity of how we communicate globally. Hear from James Manyika, SVP of Research, Technology, and Society, and Uche Okonkwo from Google Research around how we're investing in developing language models to enable more people to interact with our products in more languages. Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch </video> <video> Project Vaani Description: For the last 25 years, Google has been committed to making all the world’s information available and accessible to all, with an aim to create an inclusive world. In the same spirit, Google has undertaken initiatives like Project Vaani to make the Internet accessible to each and every human being under its Language Inclusivity Initiative. We believe that Language helps bridge people, transferring information from one to another, and should not become a barrier to growth and knowledge. Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #googleresearch </video> <video> Google Research Vs. Inequity in Media | How AI is an Ally for Representation Description: Entertainment media, particularly film and television, significantly influences viewers' perceptions and social narratives. It shapes how we view the world, our roles in society, our values, our career aspirations, and even who we see as cultural heroes. This video explores MUSE, Media Understanding for Social Exploration, a project that applies Google AI to studying representation in media. Watch more Google Research Vs. → https://goo.gle/3NvR4kt Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch You’ll hear from: Madeline Di Nonno, President & CEO, Geena Davis Institute Komal Singh, Sr. Product Manager, Google Research Krishna Somandepalli, Sr. Software Engineer, Google Research The Challenge of Media Representation Given how influential entertainment media can be, the Geena Davis Institute on Gender in Media has partnered with Google Research to leverage AI to analyze various modalities within media—Visuals, Sound Design, and Language—to understand perceived age, gender, skin tones, and the natural language of actors and the characters they portray, to enhance our understanding of representation. What is Project MUSE? In collaboration with The Geena Davis Institute on Gender in Media, The University of Southern California, and the International Advertising Association India Chapter, Google Research conducted an extensive longitudinal study on representation in the most popular scripted TV series in America and India over the past five years. This study utilized advanced insights and analysis, cutting-edge machine learning technology, and expert advisement to understand media portrayal and its impact on viewers. What is the Scully Effect? The Scully Effect is a phenomenon where the fictional FBI agent Dana Scully from the TV show The X-Files inspires women to pursue careers in STEM (science, technology, engineering, and math). According to a 2018 report by the Geena Davis Institute on Gender in Media, 63% of women in STEM who grew up watching The X-Files stated that Scully, portrayed by Gillian Anderson, was a role model who boosted their confidence to succeed in a male-dominated field. Benefits for Society With Google Research’s machine learning innovations, MUSE can infer human-centric signals at scale, including perceived gender expression, age, and skin tone. This advanced technology allows us to process large volumes of data efficiently, significantly reducing time and costs compared to manual methods. The speed of automation enabled us to extend the study across five languages—Hindi, Bengali, Tamil, Telugu, and Kannada—over a five-year period, providing valuable insights into historical trends across these Indian languages. This video is perfect for anyone interested in: - Artificial intelligence applications - Building in better representation for media - Technological solutions for Diversity, Equity, and Inclusion Products Mentioned: Google AI </video> <video> Can we hear disease before we see it? Description: What if the sounds of coughs could unlock the secrets to diagnosing diseases? Researchers at Google have created an innovative AI model called Health Acoustic Representations (HeAR), designed to identify acoustic biomarkers for diseases like tuberculosis. This groundbreaking technology has the potential to revolutionize healthcare by simplifying disease diagnosis using sound. This video delves into the development of HeAR, exploring how it leverages machine learning to analyze coughs and breathing patterns, potentially leading to faster and more accessible disease detection. Learn how HeAR could transform healthcare by enabling early diagnosis and treatment, particularly in areas with limited access to advanced medical tools. Discover the future of healthcare with HeAR and its potential to improve lives around the world. Learn more → https://goo.gle/46U4jnC Watch more Research Bytes → https://goo.gle/ResearchBytes Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch You’ll hear from: Sujay Kakarmath, Health AI Product Manager, Google </video> <video> Language AI at Google Description: Language is fundamental to how people communicate and make sense of the world. We are addressing this by getting our user base of billions of people to help us explicitly improve Google. Combining together techniques from machine learning, self-supervised learning, active learning, and multi-modal learning, we aim to create much richer data and broader datasets that enable more people to interact with our products in more languages. Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #googleresearch </video> <video> Google Research Vs. Inequity in Media | How AI is an Ally for Representation Description: Entertainment media, particularly film and television, significantly influences viewers' perceptions and social narratives. It shapes how we view the world, our roles in society, our values, our career aspirations, and even who we see as cultural heroes. This video explores MUSE, Media Understanding for Social Exploration, a project that applies Google AI to studying representation in media. Watch more Google Research Vs. → https://goo.gle/3NvR4kt Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch You’ll hear from: Madeline Di Nonno, President & CEO, Geena Davis Institute Komal Singh, Sr. Product Manager, Google Research Krishna Somandepalli, Sr. Software Engineer, Google Research The Challenge of Media Representation Given how influential entertainment media can be, the Geena Davis Institute on Gender in Media has partnered with Google Research to leverage AI to analyze various modalities within media—Visuals, Sound Design, and Language—to understand perceived age, gender, skin tones, and the natural language of actors and the characters they portray, to enhance our understanding of representation. What is Project MUSE? In collaboration with The Geena Davis Institute on Gender in Media, The University of Southern California, and the International Advertising Association India Chapter, Google Research conducted an extensive longitudinal study on representation in the most popular scripted TV series in America and India over the past five years. This study utilized advanced insights and analysis, cutting-edge machine learning technology, and expert advisement to understand media portrayal and its impact on viewers. What is the Scully Effect? The Scully Effect is a phenomenon where the fictional FBI agent Dana Scully from the TV show The X-Files inspires women to pursue careers in STEM (science, technology, engineering, and math). According to a 2018 report by the Geena Davis Institute on Gender in Media, 63% of women in STEM who grew up watching The X-Files stated that Scully, portrayed by Gillian Anderson, was a role model who boosted their confidence to succeed in a male-dominated field. Benefits for Society With Google Research’s machine learning innovations, MUSE can infer human-centric signals at scale, including perceived gender expression, age, and skin tone. This advanced technology allows us to process large volumes of data efficiently, significantly reducing time and costs compared to manual methods. The speed of automation enabled us to extend the study across five languages—Hindi, Bengali, Tamil, Telugu, and Kannada—over a five-year period, providing valuable insights into historical trends across these Indian languages. This video is perfect for anyone interested in: - Artificial intelligence applications - Building in better representation for media - Technological solutions for Diversity, Equity, and Inclusion Products Mentioned: Google AI </video> <video> How AI is improving climate prediction | Research Bytes: NeuralGCM Description: Climate change is real, and its effects are becoming increasingly evident. Traditional climate models struggle to produce clear, accurate pictures of how our climate will continue to change due to limitations in how the models represent complex phenomena. This video explores NeuralGCM, a groundbreaking AI-powered approach developed by Google Research that could someday offer a faster, more efficient, and more accurate way to predict climate change. Learn more about NeuralGCM in Nature! You’ll hear from: Stephan Hoyer, PhD, AI weather/climate lead at Google Research Janni Yuval, PhD, visiting Google Research Scientist Watch more Research Bytes → https://goo.gle/ResearchBytes Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch The Challenge of Climate Prediction Accurate climate predictions are a matter of urgency because they could allow us to prepare and adapt to climate change. NeuralGCM tackles the limitations of current physics-based models by combining them with machine learning. This allows for faster simulations and more accurate results. How Does NeuralGCM Work? Traditional climate models divide the world into large cubes, simulating the climate in each and sometimes making approximations about small-scale phenomena like clouds. NeuralGCM uses AI to make better approximations by learning about these phenomena from past data patterns, ultimately leading to a more accurate prediction engine. A Game-Changer for Climate Science We’ll dive into the revolutionary potential of NeuralGCM. It is more accurate than traditional models, reduces bias, and achieves supercomputer-level accuracy while using a fraction of the computational power. This allows researchers to simulate thousands of days in the same amount of time it would take them to simulate just one day using a high-resolution physics model, significantly improving our understanding of future climate scenarios. Benefits for Humanity NeuralGCM is a groundbreaking step toward a new approach of building climate models that could make them faster and more accurate. Improving climate models would empower us to understand and prepare for the impacts of climate change. We can mitigate global warming by reducing carbon emissions and adapt to its effects through regional planning and infrastructure development. Open-source research like NeuralGCM supports Google's commitment to making this technology universally accessible. This video is perfect for anyone interested in: Climate change and its impact Artificial intelligence applications The future of weather prediction Technological solutions for a sustainable future #AI #climateaction #GoogleResearch #climatescience #machinelearning #AIforsocialgood #globalwarming #climatestrategy #ECMWF #naturemagazine </video> <video> Open Buildings: Using AI to put everyone on the map Description: As populations swell and shift in the Global South, millions of buildings aren’t represented on any map, and their occupants risk missing out on basics like electricity, healthcare, and mail delivery. So Google Research in Africa has used AI to massively uplevel the Open Buildings dataset – transforming blurry, low-res satellite imagery into useful, high-res, temporal building and height data from 2016 to 2023 – so impactful partners from NGOs to crisis response organizations can see how the areas they serve are changing over time, and use this information to ensure that global development includes everyone. Learn more and explore the data yourself at https://goo.gle/3MSHdom #GoogleResearch #Maps #AI </video> <video> Quantum Resource Estimation: Paving the Way for Fusion Energy and Beyond Description: Have you ever wondered how scientists estimate the resources needed to run complex quantum algorithms on future quantum computers? In this video, we delve into the fascinating world of quantum resource estimation and its crucial role in realizing the potential of quantum computing. Join us as we explore: The Significance of Quantum Resource Estimation: Discover why accurately estimating quantum resources is essential for understanding the overhead of error correction and ensuring that quantum hardware can handle the applications we envision. Fusion Energy: A Perfect Use Case: Learn how quantum resource estimation is being applied to inertial confinement fusion, a promising avenue for clean energy generation. We'll discuss how quantum algorithms can enhance simulations and contribute to a sustainable future. The Estimation Process: Get a behind-the-scenes look at how researchers compile quantum simulations, make tradeoffs in algorithm development, and compare quantum operations with classical supercomputer operations. The Road Ahead: Explore the exciting future of quantum resource estimation, including the development of a language to automate the process and open up research to a wider community. Learn more → https://goo.gle/3VFkkJX Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch You’ll hear from: Nick Rubin, Research Scientist, Google Don't miss this opportunity to gain insights into the cutting-edge research that is shaping the future of quantum computing and its potential to revolutionize fields like energy production. </video> <video> Bringing Atmospheric Data Down to Earth | Mapping the Ionosphere with Android Devices Description: The Ionosphere impacts things you use every day, like GPS, other location-based services, and even radio communications. This episode of Field Notes will discuss what the Ionosphere is, why it matters so much for navigation, and how Google is crowdsourcing measurements from Android phones to map it accurately on a global scale. You’ll hear from: Dr. Jade Morton, Professor of Aerospace Engineering Sciences, University of Colorado, Boulder Brian Williams, PhD, Senior Staff Engineer, Google Research Resources: Learn more about mapping the ionosphere → https://goo.gle/3UIqAjy Watch more Field Notes → https://goo.gle/FieldNotes Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch How can Android devices be used to map the Ionosphere? This research project delves into how Android phones are being utilized as a scientific instrument to create more accurate and detailed maps of the Ionosphere, a critical part of Earth's upper atmosphere. Changing concentrations of charged particles that make up the ionosphere affect the transmission of radio waves that enable radio communications, including GPS systems. That’s why accurately mapping the ionosphere is so crucial for industries that rely on GPS, such as aviation, emergency response, and agriculture. Privacy protections ensure that no individual device can be identified. Our ionosphere maps are created using aggregated, de-identified measurements of the radio signals between satellites and the receivers in Android devices. These measurements come from a subset of Android devices that already have location and relevant settings enabled and that are using satellite signals to determine location.You can read more about how Android uses this data in our privacy policy (https://goo.gle/location-data). While scientific monitoring stations provide more precise ionosphere measurements than what we get from phones, combining measurements from many phones over a large area reduces the noise and can extend coverage to locations with few or no monitoring stations. The enhanced ability to map the ionosphere could lead to improved GPS accuracy, as well as a more comprehensive understanding of the ionosphere's structure and behavior. What are the benefits? We are actively working to translate these technological improvements into better location accuracy. Our goal is for Android users to be equipped with even better location-based services for navigation and maps, ride-sharing, and other apps that benefit from precision location. The impact of this research extends beyond personal device use; better understanding the ionosphere can shed light on and perhaps help better predict space weather events, such as solar storms, helping to prevent disruption to our critical global communication systems and unlock opportunities in emergency response, aviation, and agriculture. Overall, this research highlights the growing role of Android technology in advancing our understanding of the Ionosphere and enhancing the performance of GPS and other location-based services. This video is perfect for anyone interested in: - Android devices - Ionosphere mapping technology - GPS signal analysis - Navigation system improvements #GoogleResearch #GoogleAI #GPS #Android </video> <video> Mapping the Brain Description: A map of the entire human brain could help us understand where diseases come from, to how we store memories. But mapping the brain with today’s technology would take billions of dollars and hundreds of years. Learn what GR has already revealed about the brain, and how it's making it easier for scientists to—someday—reach this goal. #GoogleResearch </video> <video> AI for Eye Care: A fireside chat on AI in clinical workflows Description: Diabetic retinopathy is a leading cause of preventable blindness, affecting millions worldwide. Early detection is key, but screening systems are often overwhelmed. Recognizing this challenge, Google Research teamed up with Aravind Eye Care System to explore how AI could help. Join Yossi Matias, Head of Google Research, and Dr. R Kim, Chief Medical Officer of Aravind Eye Care System, in a fireside chat discussing their collaboration in developing, validating, and implementing ARDA (Automated Retinal Disease Assessment). This insightful conversation covers: Improving quality of care with AI: Learn how ARDA empowers clinicians to detect diabetic retinopathy earlier and more accurately, leading to better patient outcomes. Addressing barriers in healthcare: Understand how AI can bridge gaps in access to eye care, particularly in underserved communities. The future of AI in healthcare: Discover the potential for AI to transform the diagnosis and treatment of various diseases beyond diabetic retinopathy. Gain valuable insights into the groundbreaking partnership between Google Research and Aravind, and how AI is revolutionizing eye care and improving lives. Watch more Research Bytes → https://www.youtube.com/playlist?list=PL95lT3XlM14QywYg8k6utMOQVyvZHT2vi Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch </video> <video> Supercharge your Programming in Colab with AI-Powered tools Description: In this video we go over three new tools you can use to supercharge your programming, whether you're a student or a seasoned developer. Our AI tools are for everyone who works with code. If you're a student, they can be your personal AI tutor, ready to help you learn. For experienced developers, Colab AI tools are like your super assistant. They can help you debug faster and make your developing process smoother. Plus, with Colab AI tools, you can master prompt engineering, a critical skill for developers in the age of AI. Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch You’ll hear from: Julianne DeMars-Smith, Software Engineer on Google Colab Key Jung Lee, Ph.D. User Experience Researcher on Google Colab What is Colab? Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more. When you create your own Colab notebooks, they are stored in your Google Drive account. You can easily share your Colab notebooks with co-workers or friends, allowing them to comment on your notebooks or even edit them. #googleresearch Products Mentioned: Colab </video> <video> Mapping the Brain Description: A map of the entire human brain could help us understand where diseases come from, to how we store memories. But mapping the brain with today’s technology would take billions of dollars and hundreds of years. Learn what GR has already revealed about the brain, and how it's making it easier for scientists to—someday—reach this goal. Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch </video> <video> Using AI to track wildfire boundaries | Chile, February 2024 Description: In February 2024, a series of devastating wildfires broke out across Chile, resulting in massive damage and significant loss of life. This chain of events shows how the AI wildfire boundary tracker developed by Google Research provides helpful information during a crisis. Visit https://g.co/research/wildfires to learn more </video>

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Welcome to the official YouTube channel for Google Research. Explore video content that tackles state of the art research across Google like ML/AI, robotics, theory and algorithms, quantum computing, health, bioscience, and much more. Learn about the latest publications, research breakthroughs and the people behind them. Subscribe to get updates and enjoy!

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