The Viksit Bharat Shiksha Adhishthan (VBSA) is all set to emerge as an epistemologically audacious and structurally ...

Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world problems. Most of these robots, however, often perform poorly on tasks that they ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Nearly 50 new cancer therapies are approved every year. While this positive trend is a huge benefit for patients, Altuna Akalin, PhD, head of the bioinformatics and omics data science technology ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...

ABSTRACT: Accurately predicting medication response and disease severity is essential for advancing personalized treatment strategies, especially in complex neuropsychiatric conditions. In this study, ...

Introduction: Seismic first break (FB) picking helps us with near surface tomography, microseismic detection among other tasks. Using image semantic segmentation (ISS) networks to do so has been a hot ...

Abstract: Split computing has emerged as a promising approach to alleviate the resource constraints of IoT devices by offloading computation to edge servers. However, conventional split computing ...

Introduction: Correlated phenotypes may have both shared and unique causal factors, and jointly modeling these phenotypes can enhance prediction performance by enabling efficient information transfer.

Abstract: For millimeter-wave wireless systems, mobility management is crucial to facilitate high-quality services in dynamic scenarios, which generally includes the tasks of base station prediction, ...