The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

This video reveals a simple but effective goalkeeper training trick that helps improve reaction speed, hand coordination, and shot-stopping control in close-range situations, making it a useful tool ...

Abstract: With the rapid advancements in deep learning, IoT intrusion detection systems have increasingly adopted deep learning models as the state-of-the-art solution due to their ability to handle ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Abstract: Characterizing and predicting the training performance of modern machine learning (ML) workloads on compute systems with compute and communication spread between CPUs, GPUs, and network ...

The Army is creating a dedicated artificial intelligence and machine-learning career field for officers as it pushes to integrate AI more deeply into its operations. The new 49B specialty establishes ...

A new career path for Army officers that focuses on artificial intelligence and machine learning further cements the service’s doctrinal shift toward cutting-edge technology and autonomous warfare.