Researchers at UCLA's Institute of the Environment and Sustainability have developed the most high-resolution statewide maps of California's kelp forests to date, giving researchers, conservationists ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...

Deep learning is an interdisciplinary field that has revolutionised the manner in which computers interpret and process complex data. Rooted in models inspired by the structure of the human brain, ...

A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

As interest in artificial intelligence continues to grow, several researchers and universities have made high-quality AI and machine learning books freely available online. These resources allow ...

Rose Yu has a plan for how to make AI better, faster and smarter — and it’s already yielding results. When she was 10 years old, Rose Yu got a birthday present that would change her life — and, ...

The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve operational efficiency and reduce costs.