Autonomous AI screening flags unreliable Lyme test results, boosting sensitivity to 95.7%

Computational point-of-care sensors can significantly improve access to diagnostics by enabling rapid patient testing outside ...

The new PPC skill set: From keyword manager to system optimizer

AI-driven Google Ads is changing the PPC role from campaign execution to signal design, conversion architecture, and system ...
Communications of the ACM

Teaching AI to Simulate Nature, Faster

Methods for solving partial differential equations have progressed from analytical solutions to numerical simulations and, ...
IEEE

Machine Learning and Deep Learning Techniques for Colocated MIMO Radars: A Tutorial Overview

Abstract: Radars are expected to become the main sensors in various civilian applications, ranging from health-care monitoring to autonomous driving. Their success is mainly due to the availability of ...
Digital Trends

Valve hints at Steam Machine delay… but the plot thickens

Valve is warning that its upcoming Steam Machine hardware may not arrive as soon as originally expected. In a recent update shared with the community, the company said global shortages of memory and ...
Scientific Research Publishing

Using Decision Tree Classification and Principal Component Analysis to Predict Ethnicity Based on Individual Characteristics: A Case Study of Assam and Bhutan Ethnicities ()

1 Department of Computer Engineering, Northeastern University, Boston, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 3 Department of Computer Engineering, ...
Hacker

64 Stories To Learn About Machine Learning Tutorials

Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...
IEEE

Using PCA Machine Learning Approach Based on Psychological Questionnaires and Spectral Characteristics of the EEG to Separate the Healthy Participants and Participants with ...

Abstract: Statistical method Principal Component Analysis (PCA) based on psychological questionnaires and EEG spectral characteristics was used to reduce the complex data by finding the most important ...