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 ...
BIOENGINEER

Deep Learning Meets Multi-Objective Optimization to Grade Vocational Teaching Quality

A new hybrid AI framework combining deep convolutional networks with multi-objective evolutionary optimization achieves 98.5 ...
BIOENGINEER

AI That Listens and Reads: Multimodal Deep Learning Scores Spoken English With 97.5% Accuracy

A new multimodal deep learning framework fuses Log-Mel spectrograms and BERT embeddings through self-attention to ...
Nature

Optimization Techniques in Deep Learning articles from across Nature Portfolio

Serving as a pivotal parameter during deep learning training processes, learning rate plays a crucial role regarding training efficiency. Traditional optimizers confront challenges such as sluggish ...
techtarget

4 explainable AI techniques for machine learning models

When machine learning models deliver problematic results, it can often happen in ways that humans can't make sense of, and this becomes dangerous when there are no limitations of the model, ...
techtarget

AI vs. machine learning vs. deep learning: Key differences

Organizations of all sizes use different types of AI to facilitate key functions. Distinguishing among AI technologies and understanding their architectures is essential to choosing AI to fit use ...