Abstract: Spectral pixels are often a mixture of the pure spectra of the materials, called endmembers, due to the low spatial resolution of hyperspectral sensors, double scattering, and intimate ...
Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
The Ether Machine, a crypto infrastructure firm preparing to go public via a merger with SPAC sponsor Dynamix, said it executed its first major ether ETH $2,921.97 purchase, acquiring nearly 15,000 ...
Several malicious packages have been uncovered across the npm, Python, and Ruby package repositories that drain funds from cryptocurrency wallets, erase entire codebases after installation, and ...
A new campaign exploiting machine learning (ML) models via the Python Package Index (PyPI) has been observed by cybersecurity researchers. ReversingLabs said threat actors are using the Pickle file ...
Benny Safdie makes his solo directing debut with the A24 feature. Johnson’s Seven Bucks Productions acquired the rights to “The Smashing Machine” in 2019. A24 later joined as a partner in 2023.
Dwayne “The Rock” Johnson steps out of the WWE ring and into the UFC Octagon in a new trailer for The Smashing Machine, where he portrays UFC icon Mark Kerr. Benny Safdie wrote and directed the movie, ...
A Russian strategist has argued that infantry weapons such as mortars and machine guns are obsolete. He said he believed drones would replace them, making infantry units smaller and lighter. Light ...
ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...