Two of the most groundbreaking 21st-century technologies are crypto and Artificial Intelligence (AI). Both, in their own ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...

Background Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient management and treatment, with contrast-enhanced CT scans (CECT) as the cornerstone of diagnostic ...

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...

Lane detection algorithm (LDA) is a crucial and necessary component for autonomous vehicles to ensure safe driving in various environments. Deep learning-based lane detection algorithms (DL-LDAs) have ...

Machine learning algorithms are divided into supervised learning, unsupervised learning, ensemble learning, deep learning, and reinforcement learning. Supervised learning is trained using labelled ...

Federated learning with encryption One of the biggest challenges for training AI algorithms is the need to collect all the data in one place.

It utilizes advanced adaptive algorithms, aiming to redefine mathematics instruction and impact students, teachers, and parents.

Conclusions We demonstrated the feasibility of using digital stethoscopes in conjunction with deep learning algorithms as a low‐cost, noninvasive, and easily accessible screening tool for early ...