We find economically and statistically significant gains when using machine learning for portfolio allocation between the market index risk-free asset. Optimal rules time-varying expected returns volatility are implemented with two Random Forest models. One model is employed in forecasting monthly excess macroeconomic factors including payout yields. The second used to estimate prevailing volat...

Abstract The operations of deep networks are widely acknowledged to be inscrutable. growing field Explainable AI (XAI) has emerged in direct response this problem. However, owing the nature opacity question, XAI been forced prioritise interpretability at expense completeness, and even realism, so that its explanations frequently interpretable without being underpinned by more comprehensive fait...

Deep learning has transformed the use of machine technologies for analysis large experimental datasets. In science, such datasets are typically generated by large-scale facilities, and focuses on identification patterns, trends anomalies to extract meaningful scientific insights from data. upcoming as Extreme Photonics Application Centre (EPAC) in UK or international Square Kilometre Array (SKA...

Distributed training across several quantum computers could significantly improve the time and if we share learned model, not data, it potentially data privacy as would happen where is located. One of potential schemes to achieve this property federated learning (FL), which consists clients or local nodes on their own a central node aggregate models collected from those nodes. However, best our...

The future of machine learning will depend on it being in the hands rest us.

There is a known tension between the need to analyze personal data drive business and privacy concerns. Many protection regulations, including EU General Data Protection Regulation (GDPR) California Consumer Act (CCPA), set out strict restrictions obligations on collection processing of data. Moreover, machine learning models themselves can be used derive information, as demonstrated by recent ...