British mathematician Jack Good coined the term “intelligence explosion” 61 years ago to describe what would happen when an intelligent machine entered a runaway cycle of fully automated ...

Building a model capable of RSI would require automating a range of specialist tasks currently carried out by humans. At present data scientists work on the theory of AI and coders put it into ...

From coding to hardware, LLMs are speeding up research progress in artificial intelligence. It could be the most important trend in AI today. Last week, Mark Zuckerberg declared that Meta is aiming to ...

This SDK enables efficient text-to-image retrieval using CLIP (Contrastive Language–Image Pretraining), optimized for Axera’s NPU-based SoC platforms including AX650, AX650C, AX8850, and AX650A, or ...

The human faculty to generate an infinite set of structured expressions in language, present in most cultures and normal ontogeny, is the most substantial evidence of the human capacity for recursion.

Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...

Abstract: This paper introduces an innovative recursive methodology for ultra-fast load flow analysis. The approach is based on the Holomorphic Embedding Load Flow Method (HELM) and employs the Total ...

Abstract: The multiplication of a sparse matrix with a dense vector (SpMV) is a key component in many numerical schemes and its performance is known to be severely limited by main memory access.

Researchers have long studied humans’ difficulty in comprehending complex sentences as a window into the nature of human language processing. However, a unified theoretical account of comprehension ...