Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
Abstract: Microwave Imaging is a key technique for reconstructing the electrical properties of inaccessible media, relying on algorithms to solve the associated Electromagnetic Inverse Scattering ...
Self-serve platform removes traditional barriers of cost, implementation, and training that have kept powerful AI tools out of reach for most legal practices NEW YORK, Jan. 27, 2026 /PRNewswire/ -- ...
Python Library for Monte Carlo Simulations with Ab Initio and Machine-Learned Interatomic Potentials
Dave C. Swalm School of Chemical Engineering and Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, Mississippi 39762, United States Department of Chemical and ...
SAN DIEGO (KGTV) — A pet python that was believed to be stolen has returned to the Ocean Beach library. According to a librarian, a regular at the library spotted the snake on a windowsill near the ...
What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...
Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Jul 03, 2025, 10:43am EDT Business 3d tablet virtual growth ...
The Python Context Library provides powerful, thread-safe context management capabilities for Python applications. It offers a flexible and intuitive API for managing contextual data across different ...
What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...
Department of Chemistry & Chemical Biology, McMaster University, 1280 Main St. West, Hamilton, Hamilton, Ontario L8S 4M1, Canada Department of Chemistry, Queen’s University, 90 Bader Lane, Kingston, ...
Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions, an essential aspect of solving partial differential ...
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