Abstract: How to efficiently represent time series data through representation learning is of great importance, as it enables the automatic extraction of features without extensive manual labeling.

I have extracted time series from a common point located within two adjacent and overlapping frames. Given that the two frames are not co-registered, I did not expect the values to be identical; ...

Cyber threats and attacks like ransomware continue to increase in volume and complexity with the endpoint typically being the most sought after and valued target. With the rapid expansion and adoption ...

Last year was monumental for the AI industry in the U.S. and beyond. There were 49 startups that raised funding rounds worth $100 million or more in 2024, per our count at TechCrunch; three companies ...

It’s all about the Bro Code—and the immutable, devastating, and often tragic consequences that transpire when the Bro Code is broken. If you watched the 2022 Amazon Prime Video action espionage ...

DAYTONA BEACH, Fla. – Trackhouse Racing announced Saturday that Connor Zilisch will drive full-time in the NASCAR Cup Series in 2026, the latest move in his rapid rise up the stock-car racing ladder.

Abstract: With the proliferation of mobile sensing techniques, huge amounts of time series data are continuously generated and accumulated in various domains, fueling considerable real-world mobile ...