Nature

Explainability Methods for Deep Learning Neural Networks

Deep learning neural networks, exemplified by models like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) and Generative Adversarial Networks (GANs), have achieved remarkable ...
dbta

TruEra Provides an Open Source Explainability Software Tool for Machine Learning Models Based on Neural Networks

TruEra, provider of a suite of AI quality solutions, is releasing TruLens, an open source explainability software tool for machine learning models that are based on neural networks. TruLens is a ...
Devdiscourse

Multi-agent AI boosts safety and transparency of self-driving cars in cities

Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...
Forbes

Why ‘Explainability’ Is The Next Step For AI In Manufacturing

CEO of Neurala, a deep learning neural network software company, and founding director of the Neuromorphics Lab at Boston University. Automation: A word that simultaneously evokes technological and ...
Mortgage StrategyOpinion

Blog: Explainability and AI: What you need to do

If you’re thinking about deploying AI in triage, advice and lending decisions then you need to be aware of ‘explainability’.
The Next Web

Researchers have created a new technique to stop adversarial attacks

Did you know Neural is taking the stage this fall? Together with an amazing line-up of experts, we will explore the future of AI during TNW Conference 2021. Secure your ticket now! There’s growing ...