Explainable Artificial Intelligence (XAI) encompasses a broad spectrum of methods that aim to enhance the transparency of deep learning models, with Class Activation Mapping (CAM) methods widely used ...

Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and autoencoders support different t ...

The EURO-PROBE dataset provides manually created segmentations of the prostate and intraprostatic urethra on axial T2-weighted MRI volumes, complementing the existing LUND-PROBE (LUND Prostate ...

Nguyen and colleagues developed and evaluated a deep-learning model for detecting diabetic macular edema (DME) using three-dimensional optical coherence tomography (OCT) scans. In a real-world ...

IntroductionPurpose of this bookThis book depicts the path from Bayesian inference to deep learning as a single long-form technical volume. There is one central theme: how can we handle uncertainty in ...

There are many people who can 'use' AI. But there are almost no people who can explain how it works.Asking ChatGPT questions.

Artificial intelligence startup Symbolica emerged from stealth today and unveiled a novel approach to constructing AI models, leveraging advanced mathematics to imbue systems with human-like reasoning ...

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 ...