Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...

This study presents a quantum photonic approach to time-series forecasting, enhancing prediction accuracy through multiphoton ...

AI-enabled smart grids use real-time predictive analytics and machine learning to match supply with demand, improving efficiency.

Quantum machine learning is moving from theory to practice, with hybrid quantum-classical systems showing promising results in fields like image recognition, forecasting, and drug discovery. Recent ...

Traffic jams are a problem in large urban areas. How can they be solved without expanding the road network? This is a ...

AI forecast models offer some clear benefits over traditional physical models, but they are ill-equipped to handle the increasing volatility of a warming climate.

A new study comparing machine learning-based portfolio optimization with the traditional all-weather portfolio found that certain AI models, including LASSO and elastic net, delivered Sharpe ratios ...

The study, titled "Applications of Artificial Intelligence (AI) in Breast Cancer Care Delivery and Education: A Scoping ...

DeepSeek, the Chinese startup whose low-cost AI model stunned the world last year, launched on Friday a preview of a highly ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...

As global economic and political volatility intensifies with the ongoing Iran conflict and other geopolitical tensions, the ...

Scientists say they've made a key breakthrough that would allow robots to figure out complex tasks on their own — but experts ...