This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
If the big bottleneck in your Rust development workflow is compile time, there are at least five ways you can fix it.
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.
Scientists say they've developed a breakthrough 3D wiring solution that allows a 100-fold increase in the number of quantum bits (qubits) a quantum computing chip can support. The new architecture, ...
Abstract: The Support Vector Machine (SVM) is a popular classification algorithm and is known for its generalization properties in machine learning. In this paper, we propose parallel implementation ...
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 ...
HAMBURG, Germany, June 12, 2025 – As the ISC 2025 main program comes to a close today, the conference organization announced that Rosa M. Badia, a prominent European scientist specializing in parallel ...
At the GTC 2025 conference, Nvidia announced its plans for a new, Boston-based Nvidia Accelerated Quantum Research Center or NVAQC, designed to integrate quantum hardware with AI supercomputers.
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 ...