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Pre-training generalist agents using offline reinforcement learning

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Posted by Aviral Kumar, Student Researcher, and Sergey Levine, Research Scientist, Google Research Reinforcement learning (RL) algorithms can learn skills to solve decision-making tasks like playing games, enabling robots to pick up objects, or even optimizing microchip designs. However, running RL algorithms in the real world requires expensive active data collection. Pre-training on diverse datasets …

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Modular functions design for Advanced Driver Assistance Systems (ADAS) on AWS

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Over the last 10 years, a number of players have developed autonomous vehicle (AV) systems using deep neural networks (DNNs). These systems have evolved from simple rule-based systems to Advanced Driver Assistance Systems (ADAS) and fully autonomous vehicles. These systems require petabytes of data and thousands of compute units (vCPUs and GPUs) to train. This …

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DIY Urban AI: Researchers Drive Hyper-Local Climate Modeling Movement

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The do-it-yourself climate modeling movement is here. Researchers from Northwestern University and Argonne National Laboratory have been launching NVIDIA Jetson-driven edge computing Waggle devices across the globe to collect hyper-local climate information. Waggle is an open source sensor platform for edge computing developed by Argonne. Working with this, scientists share open-source AI code designed for …

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Alternate framework for distributed computing tames Big Data’s ever growing costs

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

The sheer volume of ‘Big Data’ produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a new computational framework based on random sampling looks set to finally tame Big Data’s ever-growing communication, memory and energy costs into something more manageable.

Generative AI in Healthcare: 7 Ways Healthcare Companies Are Using It

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Healthcare industry players—from insurers and other types of payer organizations to providers and even pharmaceutical and biotech firms—are exploring Generative AI to improve customer engagement and care. From better patient communication to new drug discovery, the use cases for Generative AI are vast. Consider the opportunities to improve communication and engagement with patients using Generative …

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Suppressing quantum errors by scaling a surface code logical qubit

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Posted by Hartmut Neven, VP of Engineering, and Julian Kelly, Director of Quantum Hardware, on behalf of the Google Quantum AI Team Many years from today, scientists will be able to use fault-tolerant quantum computers for large-scale computations with applications across science and industry. These quantum computers will be much bigger than today, consisting of …

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