Interesting Engineering

Scientists show predictable training can outperform complex robot learning data

Robots learn dexterous tasks more effectively from consistent demonstrations than complex ones, new study finds.
IEEE

A Unified Sparse Training Framework for Lightweight Lifelong Deep Reinforcement Learning

Abstract: Lifelong deep reinforcement learning (DRL) methods enable continuous adaptation to new tasks and retention of old knowledge. However, these methods often necessitate large model sizes, ...
freshangleng

Nigeria’s Next Export Gateway: Dangote Activates Olokola Deep Seaport Plan, visits communities

Ahead of the take-off of what promises to be the largest Deep Sea Port in Africa, Dangote Industries Limited has commenced initial process towards the execution of the multi-billion-dollar maritime ...
PNAS

Streamlined optical training of large-scale modern deep learning architectures with direct feedback alignment

Training today’s largest neural networks is limited by backpropagation’s sequential updates and Graphics Processing Unit (GPU) bound compute and energy, slowing scaling. We demonstrate a hybrid ...
techxplore

A novel deep learning architecture for multi-source data fusion

Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two technologies have significantly facilitated data collection from different ...
IEEE

Exploring Deep Learning Techniques for Data Augmentation in Medical Image Datasets: A Survey

Abstract: This review paper introduces an advanced deep-learning method to tackle imbalanced medical datasets, frequently arising due to limited data availability and privacy restrictions in ...
Hosted on MSN

Data deep dive: What to make of the latest US inflation report

CNN News Central’s Sara Sidner and Senior Reporter Matt Egan break down Tuesday’s new report showing inflation in April rose higher than expected, eroding Americans’ paychecks. Iran vows global ...