James Manyika gave the opening address at the inaugural AI for Science Forum, co-hosted by Google DeepMind & the Royal Society. He laid out how AI is accelerating scientific breakthroughs & can help address the world's key challenges. Read his remarks:
@googleai
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AI Optimizes Liner Shipping Network Design and Scheduling
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Introducing Virgile Galle, Software Engineer at Google Research. He is using AI to tackle the Liner Shipping Network Design & Scheduling Problem (LSNDSP). Could this lead to more efficient and cost-effective shipping? More→ https://t.co/DsUE5TRZ4X #AI #Logistics #Optimization pic.twitter.com/SUaDGIGC8D
— Google AI (@GoogleAI) 20 novembre 2024Introducing Virgile Galle, Software Engineer at Google Research. He is using AI to tackle the Liner Shipping Network Design & Scheduling Problem (LSNDSP). Could this lead to more efficient and cost-effective shipping? More→ https://
goo.gle/4fvOI10 #AI #Logistics #Optimization -

Scaling Foundation Models for Wearable Sensor Data
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Today on the blog, we investigate whether the principles driving the scaling of neural networks in domains like text and image data also extend to large-scale, multimodal wearable sensor data. Read more about scaling wearable foundation models →
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goo.gle/4fYDQJ4 -
AI and Quantum Computing Breakthroughs Accelerate Scientific Discovery
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Breakthroughs in AI and quantum computing have dramatically accelerated the pace of scientific discovery. Look back at nine of the moments that illustrate the potential of AI to lead to a new era of discovery and tackle critical global issues:
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AI Model Improves Traffic Predictions for Smarter Cities
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Congested streets impact our economies, the environment, & our collective well-being — to build smarter cities, we need a quantitative understanding of traffic. Read more about a new model that improves traffic predictions on roadways with limited data →
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goo.gle/4fR9JTC -

SpeakFaster: LLM-Powered Eye-Gaze Typing for ALS Users
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For those who are unable to speak or type, augmentative & alternative communication devices & eye-gaze typing can provide essential support. Read about SpeakFaster, a research prototype interface that uses LLMs to accelerate eye-gaze typing for ALS users →
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goo.gle/4eFXM1Y -
FireSat constellation detects wildfires globally within minutes
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🔥 "Firesat will be a constellation of satellites to detect a wildfire anywhere in the world within 20 minutes.” – Juliet Rothenberg, Product Lead of Climate AI.
— Google AI (@GoogleAI) 14 novembre 2024
Watch the video → https://t.co/6zjOm3EuOW
Check out the website → https://t.co/kgdZCPU94T pic.twitter.com/egtCnko5dN"Firesat will be a constellation of satellites to detect a wildfire anywhere in the world within 20 minutes.” – Juliet Rothenberg, Product Lead of Climate AI. Watch the video → https://
goo.gle/4fmWhHq
Check out the website → https://
goo.gle/FireSat -
Geospatial foundation model for population dynamics analysis
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Population dynamics can provide insights into domains ranging from health to environmental science. Here we introduce a geospatial foundation model (plus embeddings and code recipes) that could be employed for a variety of downstream tasks. → https://t.co/ZhApcQME52 pic.twitter.com/DPLa4ZskPQ
— Google AI (@GoogleAI) 14 novembre 2024Population dynamics can provide insights into domains ranging from health to environmental science. Here we introduce a geospatial foundation model (plus embeddings and code recipes) that could be employed for a variety of downstream tasks. → https://
goo.gle/3Coo63n -
Google Research Generates AI Training Data with Indian Communities
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Real-world data powers real-world AI. See how Google Research works with communities in India to generate data to train #AI models. ➡️https://t.co/54ji010O4R pic.twitter.com/SKaZ9qwXw2
— Google AI (@GoogleAI) 13 novembre 2024Real-world data powers real-world AI. See how Google Research works with communities in India to generate data to train #AI models. https://
goo.gle/4erH7PB -
Graph Algorithms Combat Tournament Cheating Structures
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Today on the blog, read all about how algorithms commonly used in computer science research, such as those from graph theory, can be used to examine how tournaments can be structured to minimize cheating. Learn more →https://t.co/Q01SD9cBXx pic.twitter.com/zBFOurBo05
— Google AI (@GoogleAI) 13 novembre 2024Today on the blog, read all about how algorithms commonly used in computer science research, such as those from graph theory, can be used to examine how tournaments can be structured to minimize cheating. Learn more →
https://
goo.gle/4hO6Kxe