The latest round of media company earnings reports confirmed once again that linear TV — cable in particular — is eroding quickly, with its decline in stark contrast with the growing streaming ...

There are two key things to know about the new Applied Biosystems™ SwiftArrayStudio™ Microarray Analyzer from Thermo Fisher Scientific, said Ravi Gupta, vice president and general manager of Thermo ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Thermo Fisher Scientific acquired Solventum’s purification and filtration business for $4 billion. The new filtration unit will operate within Thermo Fisher’s Life Sciences Solutions segment. The deal ...

The preseason watch list for the Bronko Nagurski Award, which honors the national defensive player of the year, includes three returning IU football players. Linebacker Aiden Fisher, defensive lineman ...

1 Department of Nephrology, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, ...

The neutral DCF model implemented in this article suggests that Thermo Fisher is undervalued by 29.24%. Thermo Fisher has invested, on average, 16.51% of its revenues in capex between 2019 and 2024.

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...

The crypto market didn’t get a respite from the ongoing rout on Apr. 8. The market crash began on Apr. 2 as President Donald Trump began imposing "reciprocal tariffs" on all countries, his primary ...

Abstract: The objective of discriminant analysis is to use information from the independent variables to achieve the clearest possible separation or discrimination between or among groups, the main ...