Artificial Intelligence, Sustainability, The Race to Net Zero, Net Zero Carbon Emissions, Sustainable Development Goals, Real ...

BiLSTM structure’s flow ... with machine learning can enhance predictive accuracy without requiring direct climate inputs. This is particularly beneficial in data-scarce regions where real-time ...

The researchers say machine learning gives them more freedom to study the data. Older methods expect things to follow a ...

A research team led by Prof. Mao Miaohua at the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, ...

More information: Jason Wu et al, Prediction of Adeno-Associated Virus Fitness with a Protein Language-Based Machine Learning Model, Human Gene Therapy (2025). DOI: 10.1089/hum.2024.227 ...

Researchers from Berlin University of Applied Sciences and Technology, University of Duisburg-Essen, and Einstein Center ...

With the help of machine learning, a type of artificial intelligence that uses algorithms to learn from sets of information and draw conclusions from patterns found in that data, the model was ...

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial ...

“By combining a protein language model (PLM) and classical ML techniques, our model achieved a significantly high prediction accuracy (Pearson correlation = 0.818) for capsid fitness,” stated ...

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