A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

Abstract: In this article, the design and implementation of a bidirectional curvature sensor based on a fiber-optic interferometer are presented. The sensor structure was fabricated by fusing a ...

SignalHire, a leading provider in the contact intelligence space, has achieved a 96% accuracy rate through advanced machine learning algorithms and real-time verification systems. The platform ...

In a data-driven world, the ability to analyze and interpret information is critical. Harvard University’s Professional ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

Abstract: The security of Internet of Things (IoT) and Industrial Internet of Things (IIoT) systems has been significantly enhanced through the integration of effective intrusion detection systems ...

By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...

A go-to software platform scientists use to do their work could become less glitchy, thanks to University of Alberta research.