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

Deep Learning in Medicine Hits a Wall: Explainability and Privacy Are Locked in Tension

A new review of 61 studies reveals that the explainability and privacy protections required for trustworthy medical and ...
BIOENGINEER

Deep Learning Tool Reads RNA Tails Straight From Nanopore Signals

A new deep learning framework called PolyAnalysis estimates RNA poly(A) tail lengths directly from raw nanopore sequencing signals and profiles 3′-end regulation with confidence-aware analyses of p ...
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 ...