Nature

Deep Learning

Deep learning is an interdisciplinary field that has revolutionised the manner in which computers interpret and process complex data. Rooted in models inspired by the structure of the human brain, ...
Phys.org

Deep-learning model predicts how fruit flies form, cell by cell

During early development, tissues and organs begin to bloom through the shifting, splitting, and growing of many thousands of cells. A team of MIT engineers has now developed a way to predict, minute ...
insideHPC

Deep Learning – Theory and Applications

The video presentation below, “Deep Learning – Theory and Applications” is from the July 23rd SF Machine Learning Meetup at the Workday Inc. San Francisco office. The featured speaker is Ilya ...
EurekAlert!

Researchers develop multi-modal vision-language model for generalizable annotation-free pathology localization

In a study published in Nature Biomedical Engineering, a team led by Prof. WANG Shanshan from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences, along with Prof. ZHANG ...
Frontiers

Advances in Deep Learning–Based Intelligent Sensing for Non-Destructive Monitoring of Crop Nutrition and Quality

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...