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 ...

Google is exploring a “moonshot” plan to build artificial intelligence data centers in space – the latest move in its ongoing scramble to keep pace with OpenAI and other rivals. Dubbed “Project ...

CHESTERFIELD COUNTY, Va. (WRIC) — Google is moving forward with its plan for a data center campus in Chesterfield County despite mixed reactions from residents and county leaders. The tech giant filed ...

IN SPACE - AUGUST 11: In this handout photo provided by NASA, the Canadarm2 (center) and solar array panel wings on the International Space Station are extended during the mission's first planned ...

Imagine data centers floating in orbit, powered directly by the Sun and running machine learning models beyond Earth’s energy constraints. That’s Google’s bold new moonshot, Project Suncatcher, a ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

The growing demand for energy-efficient Wireless Sensor Networks (WSNs) in applications such as IoT, environmental monitoring, and smart cities has sparked exhaustive research into practical solutions ...

Experiment tracking is an essential part of modern machine learning workflows. Whether you’re tweaking hyperparameters, monitoring training metrics, or collaborating with colleagues, it’s crucial to ...