These days, the frontier AI labs are all racing to build self-improving models. Some believe it’s the surest route to ...

Designing high-performance catalysts is essential for cleaner energy technologies, but the behavior of multi-element modern ...

That admission is what some in the field call recursive self-improvement (RSI), the point at which large language models ...

In the science of artificial intelligence (AI), there is a concept called technological singularity. It is the most dangerous level of AI, of technology and indeed, of science itself, for a number of ...

Abstract: A fundamental task in natural language processing (NLP) is part of speech (PoS) tagging. PoS tagging is crucial to many NLP applications, including question answering, machine translation, ...

Abstract: Deep learning methods employ multiple processing layers to learn hierarchical representations of data, and have produced state-of-the-art results in many domains. Recently, a variety of ...

Resources about word vectors, aka word embeddings, and distributed representations for words. Word vectors are numeric representations of words where similar words have similar vectors. Word vectors ...

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...

Human society is coordinated by mechanisms that control how prices are agreed, taxes are set, and electoral votes are tallied. The design of robust and effective mechanisms for human benefit is a core ...