Bayesian Inference and Deep Learning: Theory and Practice of Generative Models

IntroductionPurpose of this bookThis book depicts the path from Bayesian inference to deep learning as a single long-form technical volume. There is one central theme: how can we handle uncertainty in ...
Proceedings of the National Academy of Sciences (PNAS)

Global monitoring of methane point sources using deep learning on hyperspectral radiance measurements from EMIT

Anthropogenic methane (CH4) point sources are critical drivers of near-term climate forcing, safety hazards, and ...
eWeek

Deep Learning vs Generative AI: Understanding the Key Differences

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Six unusual structures identified at Earth's core-mantle boundary with the help of deep learning

Since scientists can't drill 2,900 km (1,800 miles) to the boundary between Earth's core and deep mantle, they must use information relayed by seismic waves recorded during earthquakes to study this ...