Classiq, the leading software platform for enterprise-grade quantum computing engineering and development, today announced the availability of Classiq 1.0, a major version milestone. It brings ...

Quantum computing technology is complex, getting off the ground and maturing. There is promise of things to come. potentially changing the computing paradigm.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...

Abstract: Optimization algorithms are widely employed to tackle complex problems, but designing them manually is often labor-intensive and requires significant expertise. Global placement is a ...

🚀 An end-to-end quantitative portfolio optimization & stock intelligence tool built with Python & Streamlit. Analyze NSE, BSE & NYSE stocks with predictions, portfolio optimization, risk metrics, and ...