Online lending was among the earliest areas of finance to be reshaped by financial technology. From the outset, it was based ...

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — ...

How the proteins in our bodies bind together to form protein complexes plays a critical role in numerous cell functions—staving off diseases, for instance, or transporting ions across cell membranes.

Regression analysis is highly relevant to agricultural sciences since many of the factors studied are quantitative. Researchers have generally used polynomial models to explain their experimental ...

Abstract: Load forecasting with low prediction error is essential to keep minimizing costs in generating and supplying power. It has many applications in energy ...

Topological mechanics has emerged as an effective design strategy of structures that can steer stresses and deformations for vibration control, wave guiding, and robotics. However, the concept of ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology. The AI ...

One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation ...

TensorFlow is an open-source machine learning framework developed by Google for numerical computation and building mach TensorFlow also includes the tf.Keras API, a high-level neural network API that ...

Doubly-ranked (DR) stratification is a nonparametric, simple yet powerful method for instrument variable (IV) analysis and Mendelian randomization (MR) studies to create sub-groups, known as "strata", ...