Before Rivers Rise | Using AI to Make Global Flood Forecasts Google Research 2026-09-25 | Before Rivers Rise | Using AI to Make Global Flood Forecasts
Bringing Atmospheric Data Down to Earth | Mapping the Ionosphere with Android Devices Google Research 2024-11-13 | 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, BoulderBrian Williams, PhD, Senior Staff Engineer, Google ResearchResources: Learn more about mapping the ionosphere → https://goo.gle/3UIqAjyWatch more Field Notes → https://goo.gle/FieldNotesSubscribe to the Google Research Channel → https://goo.gle/GoogleResearchHow 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
Open Buildings: Using AI to put everyone on the map Google Research 2024-09-19 | 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
Using AI to track wildfire boundaries | Chile, February 2024 Google Research 2024-09-09 | 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
AI for Eye Care: A fireside chat on AI in clinical workflows Google Research 2024-09-03 | 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 → youtube.com/playlist?list=PL95lT3XlM14QywYg8k6utMOQVyvZHT2vi Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch
Can we hear disease before we see it? Google Research 2024-08-19 | 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/46U4jnCWatch more Research Bytes → https://goo.gle/ResearchBytes Subscribe to the Google Research Channel → https://goo.gle/GoogleResearchYou’ll hear from: Sujay Kakarmath, Health AI Product Manager, Google
A Conversation on Language AI Google Research 2024-08-15 | 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
Language AI at Google Google Research 2024-08-15 | 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
Project Vaani Google Research 2024-08-15 | 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
How AI is improving climate prediction | Research Bytes: NeuralGCM Google Research 2024-07-22 | 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 ResearchJanni Yuval, PhD, visiting Google Research ScientistWatch more Research Bytes → https://goo.gle/ResearchBytes Subscribe to the Google Research Channel → https://goo.gle/GoogleResearchThe Challenge of Climate PredictionAccurate 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 ScienceWe’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 HumanityNeuralGCM 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 impactArtificial intelligence applicationsThe future of weather predictionTechnological solutions for a sustainable future#AI #climateaction #GoogleResearch #climatescience #machinelearning #AIforsocialgood #globalwarming #climatestrategy #ECMWF #naturemagazine
Google Research Vs. Inequity in Media | How AI is an Ally for Representation Google Research 2024-06-27 | 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/3NvR4ktSubscribe to the Google Research Channel → https://goo.gle/GoogleResearchYou’ll hear from: Madeline Di Nonno, President & CEO, Geena Davis InstituteKomal Singh, Sr. Product Manager, Google ResearchKrishna Somandepalli, Sr. Software Engineer, Google ResearchThe Challenge of Media RepresentationGiven 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 SocietyWith 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 InclusionProducts Mentioned: Google AI
Google Research Vs. Inequity in Media | How AI is an Ally for Representation Google Research 2024-06-26 | 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/3NvR4ktSubscribe to the Google Research Channel → https://goo.gle/GoogleResearchYou’ll hear from: Madeline Di Nonno, President & CEO, Geena Davis InstituteKomal Singh, Sr. Product Manager, Google ResearchKrishna Somandepalli, Sr. Software Engineer, Google ResearchThe Challenge of Media RepresentationGiven 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 SocietyWith 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 InclusionProducts Mentioned: Google AI
Quantum Resource Estimation: Paving the Way for Fusion Energy and Beyond Google Research 2024-06-18 | 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/3VFkkJXSubscribe to the Google Research Channel → https://goo.gle/GoogleResearchYou’ll hear from: Nick Rubin, Research Scientist, GoogleDon'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.
Supercharge your Programming in Colab with AI-Powered tools Google Research 2024-06-13 | 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/GoogleResearchYou’ll hear from: Julianne DeMars-Smith, Software Engineer on Google ColabKey Jung Lee, Ph.D. User Experience Researcher on Google ColabWhat 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. #googleresearchProducts Mentioned: Colab
Mapping the Brain Google Research 2024-05-09 | 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
Mapping the Brain Google Research 2024-05-09 | 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
AI for maternal and child health Google Research 2024-03-28 | Learn about AI for Maternal & Child Health, and the team’s work to assist non-profits that employ automated messaging programs to deliver timely, preventive care information to beneficiaries (new and expecting mothers) during pregnancy and after delivery using a Restless Multi-Armed Bandits (RMABs) system.Watch more Research@ Bangalore → https://goo.gle/3VSup7dGoogle Research Channel → https://goo.gle/GoogleResearch #GoogleResearch
Language inclusion with LLMs Google Research 2024-03-28 | An overview of the challenges and opportunities around language inclusion with LLMs, including the need for recontextualising Responsible AI as LLMs get used across geographies, languages, and cultures.Watch more Research@ Bangalore → https://goo.gle/3VSup7dGoogle Research Channel → https://goo.gle/GoogleResearch #GoogleResearch
Research@ Bangalore: A conversation with Jeff Dean Google Research 2024-03-28 | Jeff Dean, Grace Chung, and Manish Gupta discuss current trends in AI at Research@ Bangalore.Watch more Research@ Bangalore → https://goo.gle/3VSup7dSubscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch
Advancing efficient ML Google Research 2024-03-28 | Learn about the key challenges in improving efficiency of LLM serving, and an overview of multiple techniques the team is developing to address this problem. This talk also discusses matformers, a technique to train one model but read-off 100s of smaller models, along with techniques to speed up decoding in LLMs.Watch more Research@ Bangalore → https://goo.gle/3VSup7dGoogle Research Channel → https://goo.gle/GoogleResearch #GoogleResearch
How LLMs might help scale world class healthcare to everyone Google Research 2024-03-28 | An introduction of recent works including Med-PaLM, Med-PaLM 2, Med-PaLM M, and AMIE, and how we might be able to leverage such powerful systems to advance biomedical discovery and help scale world class healthcare to everyone.Watch more Research@ Bangalore → https://goo.gle/3VSup7dGoogle Research Channel → https://goo.gle/GoogleResearch #GoogleResearch
Responsible AI for generative models: Designing for responsibility Google Research 2024-03-28 | An overview of Responsible AI for Generative Models, and designing for responsibility by addressing identifiable concerns like fairness, privacy, and safety, with collaboration across the AI ecosystem.Watch more Research@ Bangalore → https://goo.gle/3VSup7dSubscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch
How AI is Improving Global Access to Reliable Flood Forecasts Google Research 2024-03-20 | Floods are the most common type of natural disaster, and are responsible for roughly $50 billion in annual financial damages worldwide. Nearly 1.5 billion people, making up 19% of the world’s population, are exposed to substantial risks from severe flood events. However, upgrading early warning systems to make accurate and timely information accessible to these populations can save thousands of lives per year. In “Global prediction of extreme floods in ungauged watersheds”, published in Nature, we demonstrate how Google Research technologies can significantly improve global-scale flood forecasting relative to the current state-of-the-art for countries where flood-related data is scarce. With these AI-based technologies we extended, on average, the reliability of currently-available global nowcasts from zero to five days, and improved forecasts across regions in Africa and Asia to be similar to what are currently available in Europe. Resources:Learn more about our work → https://goo.gle/3INoc4GSubscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Interview with Cordelia Schmid, a Principal Scientist at Google and Director at INRIA Google Research 2024-03-19 | In this episode of Research Retrospectives, Research Scientist Eleni Triantafillou interviews Cordelia Schmid, a Principal Scientist at Google and Research Director at INRIA, author of over a hundred technical publications and winner of several awards, including the Longuet-Higgins prize and the Koenderink prize for fundamental contributions in computer vision that have withstood the test of time. We learn about her impressive career, what sparked her passion for understanding how computers perceive the visual world. We hear about the research behind her ""test of time"" awards, her views on the challenges and opportunities of working with multimodal data, her vision for the future and her research ""north star"".Watch more Research Retrospectives → https://goo.gle/ResearchRetrospectivesSubscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Ray Kurzweil on calculators as context Google Research 2024-03-13 | We sat down with Google Research's Ray Kurzweil to demistfy how large language models are built and their potential to change society. Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Ray Kurzweil on how he got his start in computing Google Research 2024-03-06 | We sat down with Google Research's Ray Kurzweil to talk about where his legendary career in computing and AI all began. Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Research Retrospectives: An interview with David Ha, Co-founder and CEO of Sakana AI Google Research 2024-03-05 | In this episode of Research Retrospectives, Research Scientists Rosanne Liu and Laura Graesser interview David Ha - former Research Scientist of Google Research about his research background, career trajectory, and more. The episode was recorded in April 2022. David Ha is currently the Co-founder and CEO of Sakana AI, an AI Lab in Tokyo focused on advancing foundational AI models using the concepts of computational evolution. He previously worked as a Research Scientist at Google, leading the Google Brain Research team in Japan. His research interests include complex systems, self-organization, and creative applications of machine learning. He has published papers in the intersection of Deep Learning, Artificial Life, Neuroevolution and Complex Systems at NeurIPS, ICLR, ICML, GECCO, Artificial Life, Collective Intelligence. Prior to joining Google, he was a derivatives trader, serving as Managing Director and head of interest rates trading at Goldman Sachs in Japan. He obtained his undergraduate in engineering science from the University of Toronto, and a PhD from the University of Tokyo.Hosts: Rosanne Liu, Laura GraesserGuest: David Ha Editor: Thomas EnglishSubscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Ray Kurzweil on the exponential growth of computing power Google Research 2024-02-21 | We sat down with Google Research's Ray Kurzweil to talk about the key to creating large event models.Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Ray Kurzweil on LLM hallucinations Google Research 2024-02-14 | We sat down with Google Research's Ray Kurzweil to talk about the key to creating large event models.Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Research@ Recap Google Research 2024-01-30 | We launched our global Research@ series to engage more closely with the external research community and share our work across AI for Climate, Health, Languages, Science, generative AI, RAI, and more.Watch more Research@ NYC → https://goo.gle/Research_nycSubscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Introducing Lumiere: A space-time diffusion model for video generation Google Research 2024-01-26 | Introducing Lumiere -- a text-to-video diffusion model designed for synthesizing videos that portray realistic, diverse and coherent motion -- a pivotal challenge in video synthesis.Learn more about Lumiere here → https://goo.gle/42k0pCkSubscribe to the Google Research Channel → https://goo.gle/GoogleResearch Products Mentioned: Generative AI#GoogleResearch #GoogleAI
Fighting extreme heat in urban environments Google Research 2024-01-24 | Extreme temperatures are becoming more common in cities lacking in tree coverage. Learn how Google Research and Google Earth launched Tree Canopy Insights on Google's Environmental Insights Explorer (EIE) to help fight climate change by tapping on "Google Research Vs. Climate Inequity" below our channel handle!Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Quantum Computing - Hype vs. reality | Field Notes Google Research 2024-01-22 | As the race to build the world's first truly useful quantum computer intensifies, so too does the need for clear-eyed assessment. This Field Notes episode brings in the Google Quantum AI team to help answer a few fundamental questions to drive understanding of its impact now and in the future.Resources: Read more about Quantum Computing → https://goo.gle/quantumAI Watch more Field Notes → https://goo.gle/FieldNotes Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Can AI decode the music youre listening to? | Field Notes Google Research 2024-01-11 | For decades researchers have explored the relationship between music and the brain. Learn about how Google Research reconstructed music from brain scans using deep neural networks. Resources: Watch more Field Notes → https://goo.gle/FieldNotes Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Google Research Vs. Climate Inequity Google Research 2024-01-05 | Extreme temperatures are becoming more common in cities as they face the negative impacts of climate change.We launched Tree Canopy Insights on Google's Environmental Insights Explorer (EIE) to help fight extreme heat. EIE is our flagship solution for cities looking to reduce carbon emissions and improve climate resilience. Developed by Google Research and Google Earth, Tree Canopy Insights empowers cities to see information about their tree canopy coverage to inform areas of priority for future planting projects.Learn more about how Google Research is working to address climate change by using aerial imagery and AI paired with Environmental Insights Explorer data analysis capabilities.Explore trees in your city → https://goo.gle/treesWatch more Google Research Vs. → https://goo.gle/3NvR4kt Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch#GoogleResearch #GoogleAI #EIE
What drives Google Research? Google Research 2023-12-23 | Corinna Cortes and Katherine Chou discuss what's driving Google Research. Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Building an ML model to accurately estimate the reflectivity of roofs Google Research 2023-12-22 | Cool Roofs are one of the simplest and cost effective strategies to reduce the urban heat island effect. Google Research's Cool Roofs Lab helps urban planners understand city and sub-city reflectivity to determine reflectivity potential and prioritize neighborhoods for cool roofs interventions based on equity analysis.Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Rookie the Raccoon - An AI Generated movie by VideoPoet, a Large Language Model Google Research 2023-12-19 | Check out this short movie about Rookie the Raccoon that showcases the abilities of our VideoPoet to generate coherent video. VideoPoet is a new large language model for zero-shot video generation.Read more about VideoPoet → https://sites.research.google/videopoet/Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Colab & HausaNLP | Bridging language gaps in AI Google Research 2023-12-19 | Colab provides developers with frictionless access to powerful computing resources right in the browser, without having to install or manage any software. Offering free computational resources, Colab hopes to increase access to high-powered GPUs for machine learning applications globally.We visited the HausaNLP team in Kano, Nigeria to discuss how they use Colab with the goal of democratizing access to AI. The team is focused on increasing the representation of the 300+ languages spoken in Nigeria in the datasets that train AI systems. Without this improved language representation, it’s impossible to build effective & inclusive AI.Get started with Colab →https://goo.gle/3GLBc9X Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
What is Responsible AI? | Research Bytes Google Research 2023-12-18 | Responsible AI is artificial intelligence built using a human-centered design approach. In this video learn about how Google Research approaches build responsible AI, test it and release AI products responsibly.Resources: Read more about our Responsible AI efforts → https://goo.gle/4aoHxFWWatch more episodes of Research Bytes → https://goo.gle/ResearchBytesSubscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Reconstructing music from brain activity Google Research 2023-12-17 | How can we reconstruct music from brain activity? Learn about Google Research's Brain2Music research effort. Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Mapping the brain Google Research 2023-12-16 | Google has a long history of mapping things. Now Google Research is making a map of the brain. Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Ask Big Questions - Google Research Google Research 2023-12-14 | Whether we're shaping the future of sustainability, or optimizing algorithms, or even exploring epidemiological studies, Google Research has never been more driven to continuously progress science, advance society, and improve the lives of billions of people.Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Breaking the language barrier Google Research 2023-12-12 | Imagine a world where everyone has equal access to the world's information in their own language. Google Research is commited to building an AI model that will support the 1,000 most spoken languages. Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Research@ NYC: Search Generative Experience Google Research 2023-12-07 | Learn how generative AI is supercharging Search, helping us organize the world’s information to make it more accessible and useful for people in completely new ways. Watch more Research@ NYC session videos → https://goo.gle/Research_nycSubscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Research@ NYC: Languages Google Research 2023-12-07 | At Google Research we're engaging in community-driven, inclusive approaches necessary to accelerate the viability of language technologies for more languages. Learn about our work to extend speech, translation and language processing technologies to 1,000 languages, spoken by around 95% of the world’s population. Watch more Research@ NYC session videos → https://goo.gle/Research_nycSubscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Research@ NYC: ELIXR Google Research 2023-12-07 | Learn about Google Research's system, ELIXR, which enables language-based interaction with medical image foundation models. It's state of the art on a number of tasks, including zero-shot classification on a range of conditions without additional data.Watch more Research@ NYC session videos → https://goo.gle/Research_nycSubscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Research@ NYC: TextFX Google Research 2023-12-07 | TextFX is a platform that leverages large language models to augment the creative writing process. Learn about how we built this fun, creative tool with Lupe Fiasco. Watch more Research@ NYC session videos → https://goo.gle/Research_nycSubscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Research@ NYC: PAIR Guidebook Google Research 2023-12-07 | Google Research created the People + AI Guidebook to provide practical guidance and best practices for designing human-centered AI products. In this video we go over our latest tips for developing people-centric generative AI.Watch more Research@ NYC session videos → https://goo.gle/Research_nycSubscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Research@ NYC: Brain2Music Google Research 2023-12-07 | Google Research is reconstructing music from brain activity. Learn about how our music generation model, MusicLM, was used to reconstruct music. Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
Research@ NYC: A Fireside Chat with Corinna Cortes & Katherine Chou Google Research 2023-12-07 | Corinna Cortes and Katherine Chou sat down to discuss what's currently top of mind for Google Research. Watch more Research@ NYC session videos → https://goo.gle/Research_nycSubscribe to the Google Research Channel → https://goo.gle/GoogleResearch #GoogleResearch #GoogleAI
