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 >>

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 >>

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 >>

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 >>

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 >>

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 >>

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 >>

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 >>

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 >>

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 >>