From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move ...

The Steacie Prize is awarded to a person 40-years-old or younger, who has made notable contributions to research in Canada ...

Cisco's AI Security and Safety Framework includes a unified taxonomy that aims to classify a range of AI safety threats, such as content safety failures, agentic risks, and supply chain threats. Cisco ...

Abstract: Adversarial phenomena have been widely observed in machine learning (ML) systems, especially those using deep neural networks. These phenomena describe situations where ML systems may ...

Abstract: Machine learning is recognized as one of the foremost technologies that are going to make an impact on Next Generation Wireless Systems. Among its numerous applications in different fields, ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Apple's machine learning researchers have worked on myriad ways to improve Apple Intelligence and other generative AI systems, as its research papers accepted by a major AI conference demonstrate. The ...