Trapped ion quantum computing noise hit a 30-year wall until ETH Zurich researchers built a Penning-trap scanner using a ...

Abstract: This study presents a 2-D harmonic modeling (HM) approach for analyzing the non-linear permeability of the core in a yokeless and segmented armature (YASA) axial flux motor. The proposed ...

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Your AI system's ceiling is set by your data infrastructure quality. No model architecture improvement can break through that ...

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

Emagen AI founder Yimao Zhou argues the AI agent industry is optimising the wrong unit. His answer is Cagen, an organisational operating system where AI drives the work and calls on humans when it ...

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.

Reproducing kernel Hilbert space method is utilized in this paper as an efficient approach to solve singular fourth order ...

As the saying goes, one man’s trash is another man’s treasure. Or as Verge Labs might put it, one company’s failed clinical trial … is that same company’s new AI benchmarking dataset. Over a decade ...

Think about placing dots on a flat surface. You want as many pairs as possible to be separated by the same distance. For any amount of dots, what is the greatest possible number of pairs that can be ...