The study by researchers from Jiangxi’s universities introduces hybrid machine learning models optimized with Artificial ...
Physics-based machine learning unlocks 3D printing potential, thanks to work from Lehigh University's Parisa Khodabakhshi.
The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...
The era has arrived in which artificial intelligence (AI) autonomously imagines and predicts the structures and properties of ...
Unlike traditional systems that assume a static operating environment, the BeyondTrucks Optimization Solution is designed for ...
The Chosun Ilbo on MSN
AI Emerges as Researcher's 'Second Brain' in Material Discovery
An era is opening where artificial intelligence (AI) can imagine the structures of new materials and even identify ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...
Ten Carnegie Mellon doctoral students pursuing artificial intelligence research will receive support from Amazon through the company’s new AI Ph.D. Fellowship Program.
A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, ...
The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...
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