Testing random outcomes teaches principles that apply wherever fairness matters. Random outcomes shape more of our world than ...

This study presents an enhanced RRT* algorithm for deep-sea mining vehicles, improving path planning and obstacle avoidance ...

Background Autism spectrum disorder (ASD) is a neurodevelopmental condition characterised by impairments in social ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Lotto Champ is a software-based lottery number prediction tool designed to help players choose numbers using artificial ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

With under a year to go until the start of the 2026 FIFA World Cup, it’s time for fans to try to book their spot at the global soccer celebration. The tournament is the first ever World Cup to be ...

Eggplant seed vigor is a crucial indicator of its germination rate and seedling growth quality. In response to the need for efficient and nondestructive assessment methods, this study explores the use ...