Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In the subfield of machine learning known as natural language processing ...
Test scenarios for robustness verification always contain many input stability issues, such as erroneous values, lack or loss of value, unexpected timing and unpredicted toggling. Certainly, there is ...
Samer Khamaiseh, assistant professor of Computer Science and Software Engineering, directs and leads the Laboratory of A.I. Security Research (LAiSR) at Miami University’s College of Engineering and ...
The recent 6.0 earthquake near Napa California caused close to $50 million in damages to the wineries and property in the region. The San Francisco bay area is accustomed to earthquakes and hence ...
Are you ready to bring more awareness to your brand? Consider becoming a sponsor for The AI Impact Tour. Learn more about the opportunities here. No matter the claimed robustness of AI and machine ...
A way to deal with robustness in hypotheses testing using a tail-ordering on distributions is described. We prove, under mild conditions that to test H0: θ ≤ θ 0 against $\mathbf{\mathit{H}}_{{\bf 1}} ...
Editor's note: This is the 18th article in the "Real Words or Buzzwords?" series from SecurityInfoWatch.com contributor Ray Bernard about how real words can become empty words and stifle technology ...
At least 10 years after they were first applied for general illumination, the subject of how to assess the reliability of LED lighting products is still an on-going subject of debate, and sometimes, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback