A new review examines how insertion and deletion (indel) errors disrupt data synchronization in modern communication systems.

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

Jennifer Paloma Rafferty and I briefly overlapped at Quinnipiac University, when she was working as a learning designer and I ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

For over 5 years, Arthur has been professionally covering video games, writing guides and walkthroughs. His passion for video games began at age 10 in 2010 when he first played Gothic, an immersive ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...

Abstract: The non-convexity of rate-splitting precoder design precludes the direct use of efficient convex optimization algorithms. Instead, successive convex approximation (SCA)-based methods have ...

Max Delbrück Center for Molecular Medicine in the Helmholtz Association Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment.

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Abstract: This article presents a physics-informed deep learning framework using deep neural networks (DNNs) for metasurface (MS) design. By integrating equivalent circuit parameters as physically ...