Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

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.

Can artificial intelligence (AI) create its own algorithms to speed up matrix multiplication, one of machine learning’s most fundamental tasks? Today, in a paper published in Nature, DeepMind ...

Machine learning can also be used to automate manufacturing processes. For example, robots that are equipped with machine learning algorithms can be trained to perform tasks such as welding or ...

Specialization: Machine LearningInstructor: Geena Kim, Assistant Teaching ProfessorPrior knowledge needed: Calculus, Linear algebra, PythonLearning Outcomes Explain what unsupervised learning is, and ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

This is a summary of: Fawzi, A. et al.Discovering faster matrix multiplication algorithms with reinforcement learning. Nature 610, 47–53 (2022).. The problem. Algorithms have been used ...

Machine learning refers to the use of advanced mathematical models, or algorithms, to process large volumes of data and gain insight without direct human instruction or involvement.

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 scientists ...