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

Google is dramatically shortening its readiness deadline for the arrival of Q Day, the point at which existing quantum computers can break public-key cryptography algorithms that secure decades’ worth ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast consumption, detect faults, and optimize system performance in real-time. What was ...

AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...

Abstract: Reinforcement learning algorithms have revolutionized autonomous decision-making in various domains. In this paper, we compare Q-learning and DQN for solving a 100x100 grid model of a ...

SAN FRANCISCO, Jan 29 (Reuters) - Apple (AAPL.O), opens new tab on Thursday said it has acquired Q.ai, an Israeli startup working on artificial intelligence technology for audio. Apple did not ...

If you’re a typical American, you get home from work and start flipping switches and turning knobs — doing laundry, cooking dinner, watching TV. With so many other folks doing the same, the strain on ...

Artificial intelligence continues to be the central force behind the upcoming productivity revolution. Yet in the US, foundational energy constraints threaten to stall progress. The primary obstacle ...

ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.

One of my consistent themes about figuring out how to adapt the work of higher education in a world where AI exists is that you have to be prepared to outsource some of the information and ...