Everything you need to know about artificial neural networks (ANN), the state-of-the-art of artificial intelligence that help computers solve tasks that are impossible with classic AI approaches.
Google Search
By Katie Kuchta How long since you let your fingers go walking through the Yellow Pages? Or cracked open an encyclopedia? Or called the library looking for help with homework? If you’re like most of the online...
Robot in maze
Adversarial examples are slight manipulations that cause machine learning algorithms to misclassify images while going unnoticed to the human eye.
computer vision object detection
Computer vision enables computers to understand the content of images and videos. It is one of the main bridges between the physical and digital worlds.
In tandem with advances in artificial intelligence, there’s growing interest in establishing ethical guidelines and standards to weigh the robustness and trustworthiness of the AI algorithms that are helping or replacing humans in making important and critical decisions.
digital fingerprint
By Gabor Takacs Web tracking is the practice by which websites and third-party companies collect information about users’ online activity. The basis of tracking is the accurate identification of users – you are detected and identified...
semi-supervised learning
Semi-supervised learning helps you solve classification problems when you don't have labeled data to train your machine learning model.
general-data-protection-regulation-body
The European General Data Protection Regulation (GDPR) goes into effect on 25th May. What is it and how does it affect your business?
Data analytics is something that you read and hear about a lot these days. It’s been touted as the science and technology that can help organizations reduce costs, increase efficiency, identify new opportunities and increase...
machine learning membership inference
Membership inference attacks can detect examples used to train machine learning models even after those examples have been discarded.