Public records clearly shows that for the past 25 years, CERN has repeatedly built inadequate FPGA-based Level-1 Triggers, necessitating multiple rebuilds. During the Higgs boson discovery ...

Data and algorithms are how AI learns, that is different from the way humans learn. Human beings learn using their experience, emotional responses and comprehension, which indicate starkly different ...

Since the development of functional magnetic resonance imaging in the 1990s, the reliance on neuroimaging has skyrocketed as researchers investigate how fMRI data from the brain at rest, and ...

Data mining and pattern recognition form the cornerstone of modern data science by enabling the extraction of meaningful information from vast and complex data sets. These techniques integrate ...

This paper reviews the fundamentals and research progress of carbon-based multivariable chemical sensors, with a particular focus on the classification and identification of multiple analytes.

A team of scientists from the universities of New York, Toronto, and MIT have created an artificial intelligence breakthrough that has the ability to learn visual concepts in a single shot, and then ...

One of the great myths in the technosphere is that musicians make good programmers because music is like math. I disagree. Music is not enough like math for any relevant or significant skill transfer.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

In computer vision applications, Cyberway's self-developed high-performance image recognition algorithms have been successfully deployed in visual inventory counting scenarios, enabling automated ...