Tech Xplore

Computational 'time machine' shows solar and wind power on track for 2°C target, but not for 1.5°C

Wind and solar power have grown faster than almost anyone predicted, but projecting their future expansion remains ...
TMCnet

Windstar Cruises Selects IDeaS to Advance Demand Forecasting and Pricing Strategy

IDeaS, a SAS company and the world's leading provider of hospitality revenue management software, is expanding its RMS solution for the cruise industry by working with Miami-based Windstar Cruises, ...
Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Frontiers

Revolutionizing Dentistry: The Impact of AI and new Algorithms on Diagnostics, Treatment, and Patient Engagement

Artificial Intelligence (AI) is revolutionizing the field of dentistry through its impactful advancements in diagnostic ...
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Devdiscourse

Deep learning and AI unlock new era of solar energy forecasting and performance

Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...
Morning Overview on MSN

New AI model aims to improve seasonal drought forecasts

Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...

The Social Media Growth Explains How AI Becomes Central to Social Media Strategy in 2026

NEW YORK, NY, UNITED STATES, April 3, 2026 /EINPresswire.com/ -- The Social Media Growth, a platform supporting ...

SORBA.ai Releases Version 10.7: Integration with Inductive Automation Ignition SCADA 8.3 & Expanded AI Model Creation

Major release delivers seamless Ignition SCADA, enterprise-grade security, advanced ML algorithms, and private cloud ...
Scientific Research Publishing

Smith, J.W., Everhart, J.E., Dickson, W.C., Knowler, W.C. and Johannes, R.S. (1988) Using the ADAP Learning Algorithm to Forecast the Onset of Diabetes Mellitus.

ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...