Nature

A practical generalization metric for deep networks benchmarking

There is an ongoing and dedicated effort to estimate bounds on the generalization error of deep learning models, coupled with an increasing interest with practical ...
eWeek

The Pros and Cons of Deep Learning

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
Analytics Insight

Fundamentals of TinyML (Online), Harvard University

Harvard School of Engineering and Applied Sciences offers Fundamentals of TinyML as an introductory online course through its ...
Nature

Realistic fault detection of li-ion battery via dynamical deep learning

Accurate evaluation of Li-ion battery (LiB) safety conditions can reduce unexpected cell failures, facilitate battery deployment, and promote low-carbon economies. Despite the recent progress in ...
EurekAlert!

An interpretable deep learning modeling architecture considering process underlying logics reveals a promising way to the intelligent chemical industry

Intelligent manufacturing is one of the most important strategies towards the upgradation of chemical industry. The deep learning modeling technology acts as a crucial role in this industry ...
eWeek

Deep Learning vs Generative AI: Understanding the Key Differences

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...