Artificial Intelligence

Apply machine learning and deep learning

Posts 1 - 10 of 113

다음에 대한 결과: Deep Learning

Explainable AI (XAI): Are we there yet?

This post is from Oge Marques, PhD and Professor of Engineering and Computer Science at FAU.   This is the second post in a 3-post series on Explainable AI (XAI). The first post... 더 읽어보기 >>

What’s New for Low-Code AI in MATLAB R2023a

MATLAB provides low-code apps for designing, tuning, assessing, and optimizing AI models. In this blog post, I am going to present some of the app features that were introduced in MATLAB R2023a.... 더 읽어보기 >>

Join us at the MATLAB EXPO 2023

I am excited to announce that the annual MATLAB EXPO is back. You are invited to join us virtually on May 10-11, 2023. Attending the event is free, but you must register in... 더 읽어보기 >>

Apply AI with New R2023a Examples

There are many new examples in the documentation of the latest MATLAB release (R2023a) that show how to use and apply the newest machine learning and deep learning features. Feel free to take a deep... 더 읽어보기 >>

Edge AI with MATLAB, Domino, and NVIDIA Fleet Command

The following post is from Yuval Zukerman, Director of Technical Alliances at Domino Data Lab. MathWorks and Domino are now extending their collaboration to integrate with NVIDIA’s Fleet Command.... 더 읽어보기 >>

What is Explainable AI?

How and When to Use Explainable AI Techniques This post is from Oge Marques, PhD and Professor of Engineering and Computer Science at FAU. Despite impressive achievements, deep learning (DL)... 더 읽어보기 >>

Quickly Investigate PyTorch Models from MATLAB

The following post is from Sivylla Paraskevopoulou, Product Marketing Manager at MathWorks, and Yann Debray, Product Manager at MathWorks. This blog post talks about how MATLAB, PyTorch®, and... 더 읽어보기 >>

Using AI for Reduced-Order Modeling

The following post is from Lucas Garcia, Deep Learning Product Manager at MathWorks. This blog discusses the MathWorks’ presence at NeurIPS 2022 and my talk on ‘Using AI for Reduced-Order... 더 읽어보기 >>

Style Transfer and Cloud Computing with Multiple GPUs 5

The following post is from Nicholas Ide, Product Manager at MathWorks. We’re headed to the SC22 supercomputing conference in Dallas next week. Thousands of people are expected to attend this... 더 읽어보기 >>

What’s New in Interoperability with TensorFlow and PyTorch 3

For deep learning, MATLAB allows users to create and train models in MATLAB or leverage models trained in open source via model conversion. Prior to MATLAB R2022b, support for model conversion... 더 읽어보기 >>

Posts 1 - 10 of 113