Scientific American

The next AI revolution could start with world models

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
New Scientist

Amateur mathematicians solve long-standing maths problems with AI

Professional mathematicians have been stunned by the progress amateurs have made in solving long-standing problems with the ...
Scientific Research Publishing

Assessing Teacher Trainee’s Misconception of Derived and Fundamental Quantities in Measurement: A Quantitative Survey in Gambaga College of Education ()

Assessing Teacher Trainee’s Misconception of Derived and Fundamental Quantities in Measurement: A Quantitative Survey in Gambaga College of Education This study was conducted to uncover and analyze ...

Turning crystal flaws into quantum highways: A new route towards scalable solid-state qubits

Building large-scale quantum technologies requires reliable ways to connect individual quantum bits (qubits) without ...
IEEE

Skeleton-Based Continuous Scale Parkinsonian Gait Score Estimation Using Omni-Dimensional Self-Attention Convolution Networks

Abstract: Gait abnormalities constitute a primary motor symptom of Parkinson’s disease (PD). Clinically, the Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) is widely ...
IEEE

PGDTA: Predicting Drug-Target Affinity Using Three-Dimensional Structure of Protein Pocket and Graph Neural Network

Abstract: Drug-Target Affinity (DTA) prediction plays a crucial role in drug discovery, and accurate DTA prediction can significantly reduce the cost of drug development. While most studies focus on ...