Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
IPWatchdog

Federal Circuit Finds Deep Learning Patents Ineligible

“A deep learning device be trained on a specific subset of data is incident to the very nature of machine learning.” – Federal Circuit The U.S. Court of Appeals for the Federal Circuit (CAFC) issued a ...
Hub

The MVPs of data analytics

The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...
IEEE

Systematic Literature Review on Explainable Learning Analytics and Educational Data Mining

Artificial intelligence (AI) is gaining traction for its ability to extract valuable information from vast amounts of data, despite concerns about a lack of transparency in decision-making processes.
Scientific Research Publishing

Gibbs, G. (1988) Learning by doing: A guide to teaching and learning methods. Further Educational Unit, Oxford Polytechnic, Oxford.

ABSTRACT: The pedagogy employed in health care education must continually be questioned and expanded. Student nurses must be prepared for nursing practice that continually changes, consequently ...
IEEE

BlindLight: High Robustness Reinforcement Learning Method to Solve Partially Blinded Traffic Signal Control Problem

Abstract: Adaptive traffic signal control plays a crucial role in enhancing the traffic situation in urban cities. Recently, reinforcement learning-based methods have demonstrated remarkable ...