Pre-trained Segment Anything Model for instance segmentation

Create driving scenarios using imported road data from Zenrin Japan Map API 3.0 (Itsumo NAVI API 3.0).

Build, Simulate, and Run Quantum Algorithms

Gray terrain basemap data for geographic visualization

Pre-trained SOLOv2 for instance segmentation.

Tools to compile a real-time application that runs on a Speedgoat target computer

Import, plot and fit tire data for use with Vehicle Dynamics Blockset and Simscape tire models

Build simulation scenarios from real-world vehicle data recorded from GPS, IMU, camera, and lidar sensors

Virtual labs for DC circuit analysis.

Pretrained SlowFast model for Video Classification

Pretrained ShuffleNet model for image classification

Pretrained DarkNet-19 network model for image classification

Pretrained MobileNet-v2 model for image classification

Pretrained DarkNet-53 network model for image classification

Pretrained EfficientNet-b0 model for image classification

As the first version following MathWorks' 40th anniversary in 2024, MATLAB R2025a is probably the biggest release I've ever experienced as both a user and a MathWorker. The breadth and depth of what's new is so large that it makes my head spin a little and…

The R2025a MATLAB release  brings new AI capabilities that make it easier to build, customize, and deploy AI models. No matter your level of AI expertise, whether you prefer hand coding or using low-code apps, or where you are focusing on the AI pipeline…

Contributor: Benjamin Kraus
Ben has been a Software Engineer on the MATLAB Graphics and Charting Team since 2015. Although his first exposure to MATLAB was in 2000 as an undergraduate studying Biological Engineering and Computer Science at Cornell University…

Bio: Hi, it's Michelle here. You might know me as the woman who falls on her sword when MATLAB isn't meeting your needs (dark mode), who gives big fancy presentations, or as MathWorks first blogger as founder of Scott and Doug's Pick of the Week blog (IYKYK).…

Modern communications systems are becoming increasingly complex, particularly with the prevalence of MIMO-OFDM systems. These beamformed systems require ever more compute power to model and simulate, but the required times to market are shrinking, if anything.…