"This is what we need to do. It's not popular right now, but this is why the stuff that is popular isn't working." That's a gross oversimplification of what scientist, best-selling author, and ...

Nowadays, compute-intensive programs, like those for training artificial intelligence and machine learning models, are used extensively. Modern ...

TigerGraph’s eBook “Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link Analytics,” discusses what developers need to learn in order to leverage the power of graph ...

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 ...

PyTorch is an open-source machine learning library. While it can be used for a wide range of tasks, it is particularly helpful for the training and inference of deep learning tasks, like computer ...

The integration of artificial intelligence (AI) into drug discovery is revolutionizing pharmaceutical research by providing sophisticated tools for understanding and predicting complex biological ...