Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
AI brings its own validation challenges. Unlike static assays, machine learning algorithms evolve as they ingest new data, ...
Haiqu's new encoding technique allows quantum computers to process high-dimensional financial data, showing improved ...
The study reveals a rapidly evolving field where AI plays a pivotal role in accelerating design, enabling predictive ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...
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Scientists unveil digital twin tech to slash power losses in energy storage systems
Scientists at the University of Sharjah have developed an advanced digital twin technology designed to replicate renewable ...
The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...
The roundtable reached a consensus that the competition in the electric off-road sector is shifting from traditional metrics ...
The multi-task model, trained on 80,000 patient records, predicts three key postoperative risks and validates consistently ...
Predictwind's major Model Release, features PWAi in Beta, AIFS, and ICON, - sets a new standard for global forecasting ...
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