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These 7 Python libraries are useful even if you're not a developer

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Researchers claim Microsoft's quantum breakthrough is flawed by basic Python errors

Microsoft's 2029 quantum supercomputer ambitions may have hit a roadblock, as critics claim the company's 2025 quantum ...
InfoWorld

How fuzzy APIs are remaking the web

With the advent of AI-mediated APIs, the era of manually hard-coding every integration between every microservice may be ...

The Backbone Of AI: Unscrambling The Basics

AI’s “backbone” increasingly means energy, infrastructure, and matrix math powering massive next-generation computing systems ...
IEEE

Cognitive Complexity and Graph Convolutional Approach Over Control Flow Graph for Software Defect Prediction

Abstract: The software engineering community is working to develop reliable metrics to improve software quality. It is estimated that understanding the source code accounts for 60% of the software ...
GitHub

Neural Graphics Model Gym

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...
IEEE

In Defense of Classical Image Processing: Fast Depth Completion on the CPU

Abstract: With the rise of data driven deep neural networks as a realization of universal function approximators, most research on computer vision problems has moved away from handcrafted classical ...
Scientific Research Publishing

Research on Structural Damage Identification Method Based on Convolutional Neural Network ()

1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...
GitHub

PeriodicWave: Neural Network Variational Monte Carlo for Solids

This repository contains a Monte-Carlo solver to train neural-network variational wavefunction to solve continuous-space Fermi systems [M Geier, K Nazaryan, T Zaklama, L Fu, Phys. Rev. B 112, 045119 ...
Electronic Design

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
eLife

A theory and recipe to construct general and biologically plausible integrating continuous attractor neural networks

Department of Brain and Cognitive Sciences & McGovern Institute, MIT, Cambridge, United States Integrative Computational Neuroscience Center and Yang-Tan Collective, MIT, Cambridge, United States ...
Microsoft

Tracing the path to self-adapting AI agents

The games industry has long been a frontier of innovation for AI. In the early 2000s, programmers hand-coded neural networks to breathe life into virtual worlds (opens in new tab), creating engaging ...