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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Accelerating LLM Inference on NVIDIA GPUs with ReDrafter

Accelerating LLM inference is an important ML research problem, as auto-regressive token generation is computationally…

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How Fastweb fine-tuned the Mistral model using Amazon SageMaker HyperPod as a first step to build an Italian large language model

This post is co-written with Marta Cavalleri and Giovanni Germani from Fastweb, and Claudia Sacco…

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Optimizing RAG retrieval: Test, tune, succeed

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NASA Postpones Return of Stranded Starliner Astronauts to March

Barry Wilmore and Suni Williams will now come home in March at the earliest, to…

8 hours ago

Swarms of ‘ant-like’ robots lift heavy objects and hurl themselves over obstacles

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8 hours ago

Human-like artificial intelligence may face greater blame for moral violations

In a new study, participants tended to assign greater blame to artificial intelligences (AIs) involved…

8 hours ago