Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...

Abstract: The integration of inverter-interfaced sources into microgrids has led to new protection challenges due to fluctuating fault currents, bidirectional power flow, and low inertia. Traditional ...

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...

Solving the markets had gotten stale. So Danny Jachowski left Jump Trading and used his AI skills to formulate new ways to price business insurance risk.

Goldman Sachs has hired Charles Elkan, a former machine-learning expert at Amazon, to run the bank's AI efforts.

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

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

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.