I studied computer science at University College Dublin, where the four-year course covered a broad range of topics. We ...

Nvidia’s CES 2026 keynote unveiled Alpamayo, a reasoning AI for self-driving cars, plus new supercomputers, speech AI, and robotics models.

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Not only do professionals and students need to manipulate and process data, but they also need to communicate with hardware such as smart thermostats, doorbell cameras, smart lighting, and more.

PyPRS is a Python software package specifically developed to solve large-scale ranking and selection (R&S) problems in parallel computing environments. The underlying parallel computing framework is ...

Google DeepMind recently released GenAI Processors, a lightweight, open-source Python library built to simplify the orchestration of generative AI workflows—especially those involving real-time ...

Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...

Python is a high-level programming language known for its simplicity, readability, and flexibility. Created by Guido van Rossum and first released in 1991, Python has since become one of the most ...

Google unveiled an experimental machine capable of tasks that a traditional supercomputer could not master in 10 septillion years. (That’s older than the universe.) Google’s quantum computing cooling ...

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...

In this study, we delve into the realm of efficient Big Data Engineering and Extract, Transform, Load (ETL) processes within the healthcare sector, leveraging the robust foundation provided by the ...