The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical ...

India’s education system is shifting from rote learning to competency-based education under NEP 2020, focusing on skills, ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

This month's LCGC Blog from Jonnie Shackman from the America Chemical Society (ACS) reflects on how early experiences with computer programming shaped the author’s understanding of fundamental logic, ...

OpenMMReasoner emphasizes data quality and diversity over quantity, offering a new path for enterprises to build custom, high-performing AI with limited proprietary data.

Inquiry-based learning has been gaining more attention in classrooms across the world. Teachers often ask, What does it look like in practice? How does it differ from more traditional approaches? At ...

Introduction: Early diagnosis of Alzheimer's disease (AD) remains challenging due to the high similarity among AD, mild cognitive impairment (MCI), and cognitively normal (CN) individuals, as well as ...

A new developmental theory from an Iowa State researcher describes how our memory and perception of trauma can evolve over time, shifting with new experiences and as cognitive and emotional ...

Abstract: In recent years, multi-view unsupervised feature selection has gained significant interest for its ability to efficiently handle multi-view datasets while offering better interpretability.

CAMP SPRINGS, Maryland (AP) — A new rule allowing a U.S. immigration agency to scrutinize a person’s “anti-American” views when applying for a green card or other benefits isn’t designed to target ...

This is the official repo of our paper Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction in IEEE TMI 2024. In this work, we describe a novel encoder-decoder framework for ...