Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, ...

Growing up in Chengdu, China, Chaopeng Shen remembers the rivers of his hometown transforming during his childhood."They ...

BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...

Researchers from the Xinjiang Astronomical Observatory of the Chinese Academy of Sciences have developed a hybrid deep learning model that can accurately predict atmospheric delay, a key source of ...

AI-driven automation is transforming the cloud & data centre industry, enabling predictive maintenance, energy efficiency, ...

By enhancing forecast precision, the system enables governments to preempt budgetary imbalances, reduce waste, and optimize spending efficiency. The authors argue that the combination of machine ...

Cognizant (Nasdaq: CTSH) today announced a breakthrough from its AI Lab that introduces a novel, efficiency-focused method ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Tohoku University researchers have found a way to make quantum sensors more sensitive by connecting superconducting qubits in ...

"These results represent more than just outperforming frontier models; they mark the emergence of a new approach to building ...

Corgan, HDR, Gensler, Stantec, AECOM, HKS, Page, HED, Arcadis North America, and DGA top Building Design+Construction's ranking of the nation's largest data center ...