Tech Insights
CoreML

CoreML

Last updated , generated by Sumble
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What is CoreML?

Core ML is Apple's machine learning framework. It allows developers to integrate trained machine learning models into their applications across Apple platforms (iOS, macOS, watchOS, and tvOS). Core ML optimizes on-device performance, minimizing memory footprint and power consumption while maximizing speed. It supports various model types, including neural networks, tree ensembles, and support vector machines. Common uses include image recognition, natural language processing, and predictive modeling, all processed locally on the device.

What other technologies are related to CoreML?

CoreML Competitor Technologies

TensorRT is NVIDIA's SDK for high-performance deep learning inference, serving as an alternative to CoreML for deploying models on NVIDIA hardware.
mentioned alongside CoreML in 2% (73) of relevant job posts

CoreML Complementary Technologies

ARKit provides augmented reality capabilities that can be enhanced by CoreML models for object recognition and scene understanding.
mentioned alongside CoreML in 7% (158) of relevant job posts
Metal is Apple's low-level graphics and compute API, which can be used to optimize CoreML model execution on Apple devices.
mentioned alongside CoreML in 2% (84) of relevant job posts
ONNX is an open format for machine learning models, enabling models to be converted to and from CoreML format and shared across different frameworks.
mentioned alongside CoreML in 1% (66) of relevant job posts

Which organizations are mentioning CoreML?

Organization
Industry
Matching Teams
Matching People
CoreML
Apple
Scientific and Technical Services
CoreML
Snap Inc.
Scientific and Technical Services
CoreML
Google
Scientific and Technical Services

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