Nature

Explainable Deep Learning in Image Analysis articles from across Nature Portfolio

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 ...
BIOENGINEER

Cascaded AI Distinguishes Acceleration From Deceleration Brain Injuries on CT Scans

Forensic pathologists have long faced one of the most consequential questions in their discipline: when a person suffers a ...
BIOENGINEER

New Explainable AutoML Tool Teaches Users While It Builds Their Deep Learning Models

Automated machine learning has long promised to hand the power of deep learning to scientists who never trained as programmers, yet most of these tools deliver a finished model with little explanation ...
Semiconductor Engineering

Using Deep Learning ADC For Defect Classification For Automatic Defect Inspection

In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is ...

Can you explain that 'AI'? (Series #1) The differences between AI, machine learning, deep learning, and reinforcement learning

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

What is Deep Learning? Explaining the Differences from AI and Machine Learning

An explanation of what deep learning is, tailored for beginners. We will organize the differences between AI and machine ...
Analytics Insight

Deep Learning Cheat Sheet for Beginners & Professionals

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