Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

Want to understand how machine learning impacts search? Learn how Google uses machine learning models and algorithms in search.

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As ...

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 ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Meta-Learning This is a less popular type of machine learning algorithm, but in many ways, it is both the easiest to understand and the most powerful.

It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse ...

Hybrid approach based on deep learning The team of researchers now presented a novel simulation method called the Materials Learning Algorithms (MALA) software stack.