Zoonova AI Launches Alpha AI, Bringing Quant-Driven Analytics to Everyday Investors

SALT LAKE CITY, April 13, 2026 (GLOBE NEWSWIRE) -- Zoonova AI today announced the launch of Alpha AI , a new investing platform designed to make advanced market intelligence more accessible through a ...
IEEE

A Review of Hyperparameter Tuning Methods in Machine Learning

Abstract: Hyperparameter tuning is a crucial process in the machine learning (ML) pipeline, as the performance of a learning algorithm is highly influenced by its hyperparameter configuration. This ...
blockchain

AI Benchmark Exploitation: Hyperparameter Tuning and Systematic P-Hacking Threaten Real Progress

According to @godofprompt, a widespread trend in artificial intelligence research involves systematic p-hacking, where experiments are repeatedly run until benchmarks show improvement, with successes ...
Scientific Research Publishing

Li, L., Jamieson, K., DeSalvo, G., Rostamizadeh, A. and Talwalkar, A. (2020) Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization. Journal of Machine ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...
IEEE

Hyperparameter Tuning Algorithm Comparison with Machine Learning Algorithms

Abstract: Hyperparameters are the foundation for optimizing the way machine learning algorithms supposed to learn. It is essential to have the optimal hyperparameter values for any learning algorithms ...