3D imaging and machine learning improve noncontact weight estimation of frozen skipjack tuna

Accurately determining fish body size and weight is essential for fisheries resource management and seafood processing; ...
Phys.org

'Lensless' imaging through advanced machine learning for next generation image sensing solutions

A camera usually requires a lens system to capture a focused image, and the lensed camera has been the dominant imaging solution for centuries. A lensed camera requires a complex lens system to ...

Beckhoff's TwinCAT 3 Machine Learning Creator Simplifies AI Training

TwinCAT 3 Machine Learning Creator facilitates automated training of AI models for industrial applications and includes model ...
Santa Clara University

Information Processing and Machine Learning research Laboratory (IPML)

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...
ascopubs.org

Reimagining T Staging Through Artificial Intelligence and Machine Learning Image Processing Approaches in Digital Pathology

The International Association for the Study of Lung Cancer Early Lung Imaging Confederation Tumor stage and grade, visually assessed by pathologists from evaluation of pathology images in conjunction ...
Semiconductor Engineering

Developing ReRAM As Next Generation On-Chip Memory For Machine Learning, Image Processing And Other Advanced CPU Applications

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...
eWeek

Generative AI vs Machine Learning: Key Differences and Use Cases

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 ...