MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

Apart from that, we integrate the prior knowledge into existing data to construct a more powerful approximation algorithm and enrich the prediction capability to accommodate the dynamic environment.

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously have in the database, as the algorithms can efficiently analyse large ...

Wind Turbine Blade Defect Detection Based on the Genetic Algorithm-Enhanced YOLOv5 Algorithm Using Synthetic Data Regular inspection and maintenance of wind turbine blades are crucial to effectively ...