Smithsonian Magazine

Computers Are Getting Much Better at Image Recognition

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...
Frontiers

Precision neurocircuitry: emerging tools to map, modulate, and model behavior

Unravelling how neural circuits generate complex behaviours remains one of the most compelling challenges in neuroscience. This endeavor requires tools that ...
Scientific Research Publishing

Estimating Average and Heterogeneous Effects of Special Education: A Causal Machine Learning Perspective ()

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
IEEE

Optimizing Plasma Etching: Integrating Precise Three-Dimensional Etching Simulation and Machine Learning for Multi-Objective Optimization

Abstract: In modern semiconductor manufacturing, optimizing plasma etching processes is key for advancing technology and achieving profitable production. In this study, we propose an efficient process ...
Frontiers

Winning by Design: Technology-Integrated Learning, Performance, and Recovery in Team Sports

Over the past decade, technological innovation has transformed the landscape of sports science, reshaping how performance is monitored, analyzed, and ...
Hosted on MSN

Digging into background check issue at Creative Learning Lab

WPTV is digging into concerns about background checks for teachers at a Fort Pierce private school. Tropical Storm Melissa update as "catastrophic" conditions to hit in hours ICE, CBP seize 400 ...
IEEE

Mapping the Machine Learning Landscape in Autonomous Vehicles: A Scientometric Review of Research Trends, Applications, Challenges, and Future Directions

Abstract: In recent years, Machine Learning (ML) has emerged as a transformative technology in the field of Autonomous Vehicles and Autonomous Driving , fundamentally reshaping vehicle perception, ...