Tom's Guide

This hidden Windows 11 setting might be quietly draining your RAM — here's a quick fix

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GitHub

mohansree14/Bayesian-Deep-Learning-for-Probabilistic-Financial-Forecasting

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
Scientific Research Publishing

Mohammadagha, M. (2025) Hyperparameter Optimization Strategies for Tree-Based Machine Learning Models Prediction: A Comparative Study of Ada-Boost, Decision Trees, and Random ...

ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.
Forbes

Prioritize Cost Optimization Over Cost Cutting To Achieve Meaningful Results

As pressure to reduce costs increases, CFOs have an opportunity to deepen their cross-functional influence and fortify their advisory role to the CEO and other C-suite leaders. Capitalizing on this ...
InfoWorld

A new interpreter in Python 3.14 delivers a free speed boost

The new interpreter will run Python programs as much as 5% faster, with no changes to existing code required. A beta of Python 3.14 is due in May. March 10 update ...
Scientific Research Publishing

Felten, F., Gareev, D., Talbi, E.G. and Danoy, G. (2023) Hyperparameter Optimization for Multi-Objective Reinforcement Learning. arXiv: 2310.16487.

ABSTRACT: The integration of artificial intelligence into the development and production of mechatronic products offers a substantial opportunity to enhance efficiency, adaptability, and system ...