Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.

Scientists have tapped artificial intelligence and powerful computing to take a first step to speed up how quickly officials ...

The previous study focused on predicting stock prices using machine learning and deep learning models. However, no study tackled a comparison between machine learning and deep learning to enhance the ...

This review provides a comprehensive guide to applying deep learning methodologies and tools in protein structure prediction. We initially outline the databases related to the protein structure ...

One of the main drawbacks of data-driven soft sensors is to deal with the dynamic and nonlinear characteristics of process data. This paper proposes a deep learning structure and corresponding ...

Deep learning approaches do not account for the sequential nature of data (eg, multilayer perceptron [MLP]) were also used as comparators (figure 1D). We examined whether prediction of blood culture ...

Applying deep learning tools to pinpoint predictive gaps in behavioral cognitive modeling.