Evolutionary algorithm outperforms deep-learning machines at video games Neural networks have garnered all the headlines, but a much more powerful approach is waiting in the wings.

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...

Comparison of whole slide image–based deep learning algorithms and genomic classifiers for assessing the risk of prostate cancer metastasis in surgically treated patients. Long-term results of dose ...

What other ML areas can replace deep learning in the future? This question was originally answered on Quora by Ian Goodfellow.

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...

Geoffrey Hinton, professor at the University of Toronto and engineering fellow at Google Brain, recently published a paper on the Forward-Forward algorithm (FF), a technique for training neural ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help ...

Here are a few typical instances: Speech recognition – Deep learning algorithms are used by speech recognition systems to identify and categorize audio and images.