Microsoft Corp. today released the code for Phi-4, a small language model that can generate text and solve math problems.

The World Health Organization reports a steady increase in cancer patients worldwide, marking it as a major health threat.

As a result, there is a surge of interest in developing new deep learning techniques on graphs for a large number of NLP tasks. In this monograph, the authors present a comprehensive overview on Graph ...

Abstract: Neural architecture search (NAS) is crucial for text representation in natural language processing (NLP); however ... manually designed search space defined by a directed acyclic graph (DAG) ...

Diffbot challenges AI giants with a breakthrough open-source language model that outperforms ChatGPT and Google Gemini by prioritizing real-time fact retrieval over large-scale parameters, marking a ...

Under the hood, North is powered by not only Command but also Cohere’s Compass product. The latter offering is an AI-powered ...

Abstract: Graph Neural Networks (GNNs) have been widely applied to various fields for learning over graph-structured data. They have shown significant improvements over traditional heuristic methods ...

The result? A fully self-training, neural network-based thrust vector control (TVC) system that promises smarter and more efficient stabilization in real time. The journey started with a basic 3D ...