Karpathy's 'autoresearch' agent did not improve its own code, but it points towards systems that could as well as towards way ...

Overview:Machine Learning libraries like PyTorch, TensorFlow, and JAX help developers build, train, and deploy AI models ...

Python libraries for cybersecurity help automate threat detection, network monitoring, and vulnerability analysis. Tools like Scapy, Nmap, and Requests enable penetration testing and network security ...

Abstract: In this paper, we propose a novel decoding method for Quantum Low-Density Parity-Check (QLDPC) codes based on Graph Neural Networks (GNNs). Similar to the Belief Propagation (BP)-based QLDPC ...

A new open-source project, WiFi DensePose, uses ordinary WiFi signals to detect human movement behind walls without cameras.

Abstract: In recent years, deep-learning-based methods have been introduced for solving inverse scattering problems (ISPs), but most of them heavily rely on large training datasets and suffer from ...

AI in architecture is moving from experimentation to implementation. An AJ webinar supported by CMap explored how practices are applying these tools to live projects, construction delivery and operati ...

incTNP tnp/models/castnp.py experiments/configs/models/inctnp.yml incTNP-Seq tnp/models/incTNPBatched.py experiments/configs/models/inctnpSeq.yml Due to file size ...

Every Claude Code session starts from zero. You explain your project structure, conventions, and preferences... again and again.