Finnish birdwatchers' app data fuel world's most accurate model for predicting bird occurrence

New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke ...

AI model accelerates defect-based material design

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

AI tools improve diagnostics and patient outcome prediction in resource-limited health care settings

After a cardiac arrest, families and doctors are often faced with agonizing uncertainty about a patient's chances of recovery ...

Chongwei Shi Advances Biostatistical Methods and Computational Biology Through Deep Learning and Statistical Shape Analysis

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
IEEE

LiDAR-based Model Predictive Control using Control Barrier Functions

Abstract: This paper presents a model predictive control (MPC) with recursive feasibility guarantees for robots with LiDAR sensory measurements. Control barrier functions (CBF) are incorporated within ...