ModelCat™ (formerly Eta Compute), a pioneer in agentic AI model creation, today announced the launch of eIQ® Model Creator powered by ModelCat, an exclusive version of its AI model building software ...

The advent of artificial intelligence (AI) has revolutionized many sectors, including robotics. One of the most fascinating applications of this technology is in the design and construction of fully ...

Abstract: This paper presents a comparative analysis of EfficientNetB0 models trained using transfer learning and from scratch, evaluated across three benchmark datasets: CIFAR-10, MNIST Digit, and ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. The ...

Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based course for PhD students, new faculty, and professionals in financial econometrics. For the first two ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...