deep learning

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From LLMs to hallucinations, here’s a simple guide to common AI terms

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...
The Conversation

We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents’ observations

What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out of place with our traditional row homes that have been here for a hundred ...
IEEE

A Comprehensive Survey on Machine and Deep Learning for Optical Communications

Abstract: The increasing complexity of optical communication systems and networks necessitates advanced methodologies for extracting valuable insights from vast and heterogeneous datasets. Machine ...
techtimes

AI Healthcare Technology: The Power of Machine Learning Diagnosis in Modern Medicine

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today’s evolving medical landscape. Pixabay, ...
GitHub

What is Deep Learning?

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...
marktechpost

How to Design Complex Deep Learning Tensor Pipelines Using Einops with Vision, Attention, and Multimodal Examples

In this tutorial, we walk through advanced usage of Einops to express complex tensor transformations in a clear, readable, and mathematically precise way. We demonstrate how rearrange, reduce, repeat, ...
science.psu

Can Mathematics Reveal the Depth of Deep Learning?

Leonid Berlyand and his research group study the mathematical foundations of deep learning. Credit: Michelle Bixby Deep learning, which has a structure inspired by neural networks in the human brain, ...
Frontiers

Geological information-driven deep learning for lithology identification from well logs

Lithology identification is crucial for characterizing complex unconventional reservoirs, where thin interlayers significantly influence hydrocarbon accumulation. Although deep learning-based methods ...