Machine learning defined Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data.

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.

Advanced machine learning is beginning to make inroads into yield enhancement methodology as fabs and equipment makers seek to identify defectivity patterns in wafer images with greater accuracy and ...

Malicious actors can use this image-scaling technique as a launchpad for adversarial attacks against machine learning models, the artificial intelligence algorithms used in computer vision tasks ...

Machine learning models take data such as documents, videos or user behaviors, and convert this into vectors, which are complex collections of numbers.

Machine learning applications understand the world through vectors. Pinecone, a specialized cloud database for vectors, has secured significant investment from the people who brought Snowflake to ...

Machine-learning systems are used to identify objects in images, transcribe speech into text, match news items, posts or products with users' interests, and select relevant results of search.

Machine learning typically requires tons of examples. To get an AI model to recognize a horse, you need to show it thousands of images of horses. This is what makes the technology computationally ...

The image of the supermassive black hole at the heart of the galaxy Messier 87 was boosted to high fidelity by a machine learning program trained on black hole models.