Today, businesses face immense pressure to innovate. The rapid evolution of artificial intelligence and data analytics ...

Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning.

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a popular simulation approach, which is used in fundamental chemistry and materials ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

Automated machine learning is being used to build a digital twin of complex networks, saving hours compared to traditional ...

Colonoscopy quality indicators for colorectal cancer precursors: Sessile serrated lesion and adenoma detection rates from a large clinical study of a blood-based test for CRC screening. This is an ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Researchers in Belgium have discovered that Parkinson’s disease may consist of several hidden subtypes rather than one single disorder. Using artificial intelligence and machine learning, scientists ...

Roaring over long distances is a key behaviour of lions. They communicate within prides as well as with other animals using distinct sequences of moans and grunts. Scientists from the GAIA Initiative ...