Imagine scrolling an online news article by merely staring at the bottom of the webpage. How about reorganizing your desktop files by dragging them around with your gaze? For years we’ve been using mice and keyboard...
digital wired human brain
To create better artificial intelligence hardware, researchers have been drawing inspiration from the brain. The result is neuromorphic chips, which have grown in popularity in the past years.
Robot in maze
Adversarial examples are slight manipulations that cause machine learning algorithms to misclassify images while going unnoticed to the human eye.
AI isn't about replacing humans. It's about complementing them. That's why it should be called augmented intelligence.
facial recognition mobile app
One-shot learning allows deep learning algorithms to measure the similarity and difference between two images.
machine learning data poisoning
Data poisoning attack target the training of machine learning algorithms and cause them to behave maliciously during inference.
NLP and NLG, the two branches of AI that parse and generate human language, have removed many of the barriers between humans and computers.
A machine learning expert decided to address artificial intelligence's lack of imagination, and overnight, he invented generative adversarial networks (GAN).
As artificial intelligence becomes more ubiquitous in consumer applications, it must better understand human emotions. That’s where emotion AI comes in.
artificial intelligence under construction
Narrow AI technologies are very good at solving specific problems, but they fall short of fulfilling the requirements for human-level AI.