Categories: FAANG

Reinforcement learning allows underwater robots to locate and track objects underwater

A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals.
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RES4LYF nodes really do make a difference with Wan 2.2

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7 Matplotlib Tricks to Better Visualize Your Machine Learning Models

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Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution

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Scalable intelligent document processing using Amazon Bedrock Data Automation

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How Keeta processes 11 million financial transactions per second with Spanner

Keeta Network is a layer‑1 blockchain that unifies transactions across different blockchains and payment systems,…

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