#MachineLearning models sometimes make correct predictions by using information that is irrelevant to the task. Learn more about a new protocol for evaluating input salience methods, which can help verify that a model isn’t relying on such information → https://
goo.gle/3gZSOWl
@googleai
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New Protocol Evaluates Machine Learning Model Input Salience Methods
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Interactive Language Framework Enables Real-Time Language-Conditionable Robots
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Interactive Language is an imitation learning framework for producing real-time, open vocabulary language-conditionable robots. Learn more and check out the newly released and largest available language-annotated robot dataset, called Language-Table → https://t.co/ZdQCeYEFJl pic.twitter.com/5zMyoa9B57
— Google AI (@GoogleAI) 1 décembre 2022Interactive Language is an imitation learning framework for producing real-time, open vocabulary language-conditionable robots. Learn more and check out the newly released and largest available language-annotated robot dataset, called Language-Table → http://
bit.ly/3Umujjt -
ML-Driven Systems Research Workshop at Google
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Interested in learning more about ML for Systems research at Google? Stop by the booth today at 10:30 am to hear @martin_maas discuss the latest in ML-driven systems! And if you want to learn more about the area, join the ML for Systems workshop on Saturday, December 3rd.
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Google Phenaki: Text-to-Video Generation Breakthrough Presentation
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Today at 3:30 pm @RubenEVillegas and @piekindermans will be at the Google booth to describe how the Phenaki model overcomes the challenges of text-to-video generation to synthesize realistic videos from text prompts. More at: https://t.co/B2OdMk8l2S pic.twitter.com/f0KohBFnbF
— Google AI (@GoogleAI) 30 novembre 2022Today at 3:30 pm @RubenEVillegas and @piekindermans will be at the Google booth to describe how the Phenaki model overcomes the challenges of text-to-video generation to synthesize realistic videos from text prompts. More at: https://
phenaki.research.google -
Google Sycamore Simulates Quantum Wormhole Dynamics
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As part of a collaboration with researchers at Caltech, Harvard, MIT, and Fermilab, learn how we simulated a quantum theory on the Google Sycamore processor to probe the dynamics of a quantum system equivalent to a wormhole in a model of gravity → https://
goo.gle/3gLymZ0 -
Google Booth: Functional View of Generative Models Discussion
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Drop by the Google booth today at 10:30am to hear @ziwphd discuss a functional view of generative models — generating functions by learning from functions! pic.twitter.com/8cwm4rJhMv
— Google AI (@GoogleAI) 30 novembre 2022Drop by the Google booth today at 10:30am to hear @ziwphd discuss a functional view of generative models — generating functions by learning from functions!
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MLCommons Algorithms Benchmark Standardizes Neural Network Training Comparison
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Today at 3:30pm, come by the #NeurIPS2022 Google booth to hear @zacharynado talk about the @MLCommons Algorithms benchmark, an effort to standardize how researchers compare training algorithms for neural networks. https://
github.com/mlcommons/algo
rithmic-efficiency
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Efficient Pre-training and Fine-tuning Approaches for Large Models
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As the scale of models increases, the computational effort needed for training grows rapidly. Check out a pair of new approaches that can significantly improve model performance through thoughtful pre-training and fine-tuning with only minimal compute. https://
goo.gle/3UicYbD -
Google Interview Warmup Tool Uses NLU for Interview Practice
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Interview Warmup is a new tool from #GrowWithGoogle that uses #NLU to give people practice answering interview questions to improve their confidence with the interview process. Drop by the #NeurIPS2022 Google booth at 10:30am today to learn how it works! http://
goo.gle/3f7rG6C -
Robot Arm Controlled by AI Language Models at Booth Demo
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Stop by our booth today at 4pm to have a video chat with a robot arm! Ask it to move around objects, or just say hello. Powered by Code as Policies, the system uses the latest language models to write robot code. Read more → http://
goo.gle/3U5CmCg