machine learning dimensionality reduction
Dimensionality reduction slashes the costs of machine learning and sometimes makes it possible to solve complicated problems with simpler models.
machine learning membership inference
Membership inference attacks can detect examples used to train machine learning models even after those examples have been discarded.
semi-supervised learning
Semi-supervised learning helps you solve classification problems when you don't have labeled data to train your machine learning model.
ensemble learning
Ensemble learning is a popular machine learning technique that combines several models to improve overall accuracy of AI algorithms.
machine learning data poisoning
Data poisoning attack target the training of machine learning algorithms and cause them to behave maliciously during inference.
jordan peele obama deepfake
Deepfakes use deep learning algorithm to swap parts of image. They have given rise to a new generation of AI-doctored videos.
By Vanessa Kearney Any business looking to streamline its processes and move to more efficient models will encounter automation, machine learning, and artificial intelligence along the way. Although in 2020 we’re a far cry from sentient...
facial recognition mobile app
One-shot learning allows deep learning algorithms to measure the similarity and difference between two images.
Robot in maze
Adversarial examples are slight manipulations that cause machine learning algorithms to misclassify images while going unnoticed to the human eye.
Recurrent neural networks enable computers to process text, videos, time series, and other sequential data.