I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI development using Dell's Pro Max mini-workstation with Nvidia’s Grace ...

In biomedical modeling, the integration of mechanistic and data-driven approaches is reshaping how we interpret and predict complex biological phenomena.

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

Explore advanced physics with **“Modeling Sliding Bead On Tilting Wire Using Python | Lagrangian Explained.”** In this tutorial, we demonstrate how to simulate the motion of a bead sliding on a ...

GluonTS is a Python toolkit for probabilistic time series modeling, built around Apache MXNet (incubating). GluonTS provides utilities for loading and iterating over time series datasets, state of the ...

Jan 13 (Reuters) - Microsoft (MSFT.O), opens new tab on Tuesday unveiled an initiative to curb water usage at its U.S. data centers and limit the impact on the general population from any potential ...

Tech companies are building data centers as quickly as possible to run AI. These facilities are controviersial because they use copious amounts of electricity and might tax an electrical grid that in ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

A new study estimates the environmental impact of AI in 2025 and calls for more transparency from companies on their pollution and water consumption. A new study estimates the environmental impact of ...

Prompt & Negative Prompt Aspect Ratio (16:9, 9:16) Person Generation Safety Settings Seed Control for reproducible results Real-time Logging: Integrated console output within the GUI for monitoring ...