Senior Manager Ranjeet Kumar drives data reliability through AI-driven observability, synthetic data generation, and ...

AI and ML are changing chromatography. Hear from an expert about the hype, the challenges and the opportunities seen today.

In our increasingly electrified world, supercapacitors have emerged as critical components in transportation and renewable energy systems, prized for their remarkable power density, cycling stability, ...

As part of the QuNET project, researchers have demonstrated how quantum key distribution works reliably via hybrid and mobile ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

Objective To determine how distinct combinations of resistance training prescription (RTx) variables (load, sets and frequency) affect muscle strength and hypertrophy. Data sources MEDLINE, Embase, ...

Model may also have applications in the prediction fields of renewable energy and other time series datasets, including weather forecasting and financial markets ...

A hybrid model combines the robustness of local systems with the scalability and security of cloud‑based analytics.

A team at Heriot-Watt University has unveiled a prototype quantum network that merges two independent networks into one ...