MathWorks
0720 Mw Math Works Matlab 2020a Promo 5f0774250860c

MATLAB and Simulink Gain Beefed-Up AI Capabilities

July 9, 2020
The engineering packages’ semiannual release expands deep-learning facilities and adds new features and updates.

In Release 2020a of its MATLAB and Simulink packages, MathWorks enables engineers to train neural networks in the updated Deep Network Designer app, manage multiple deep learning experiments in a new Experiment Manager app, and choose from more network options to generate deep learning code. R2020a introduces new capabilities specifically for automotive and wireless engineers in addition to hundreds of new and updated features for all users of MATLAB and Simulink.

The new release introduces an enhanced Deep Learning Toolbox that helps users manage multiple deep-learning experiments, keep track of training parameters, and analyze and compare results and code with the new Experiment Manager app. Users can interactively train a network for image classification (see the figure), generate MATLAB code for training, and access pretrained models with the Deep Network Designer app.

Additionally, GPU Coder now offers a more expansive set of networks to implement AI systems on cloud and edge devices, including Darknet-19, Darknet-53, Inception-ResNet-v2, NASNet-Large, and NASNet-Mobile.

Included with the new release are three new products:

Motor Control Blockset contains a library of motor-control algorithms optimized for generating compact code as well as out-of-the-box support for multiple motor-control hardware kits.

Simulink Compiler lets engineers generate standalone applications, web apps, and software components from Simulink models, enabling simulations to run without installing Simulink.

MATLAB Web App Server offers controlled access from a browser to MATLAB web apps deployed across a user’s organization.

There are also major updates, including the ability for automotive engineers to more easily create driving scenarios using imported road data from high-definition geographic maps and optimize shift schedules for performance, fuel economy, and emissions analysis. For wireless engineers, MATLAB support for 5G and WiFi-6 technologies has expanded with additional support for waveform generation and cell detection. And, users can generate C++ classes from MATLAB classes, and the new release introduces message-based communication for service functions and reusable subsystems.

R2020a is available immediately worldwide.

MathWorks, www.mathworks.com

About the Author

David Maliniak | Executive Editor, Microwaves & RF

I am Executive Editor of Microwaves & RF, an all-digital publication that broadly covers all aspects of wireless communications. More particularly, we're keeping a close eye on technologies in the consumer-oriented 5G, 6G, IoT, M2M, and V2X markets, in which much of the wireless market's growth will occur in this decade and beyond. I work with a great team of editors to provide engineers, developers, and technical managers with interesting and useful articles and videos on a regular basis. Check out our free newsletters to see the latest content.

You can send press releases for new products for possible coverage on the website. I am also interested in receiving contributed articles for publishing on our website. Use our contributor's packet, in which you'll find an article template and lots more useful information on how to properly prepare content for us, and send to me along with a signed release form. 

About me:

In his long career in the B2B electronics-industry media, David Maliniak has held editorial roles as both generalist and specialist. As Components Editor and, later, as Editor in Chief of EE Product News, David gained breadth of experience in covering the industry at large. In serving as EDA/Test and Measurement Technology Editor at Electronic Design, he developed deep insight into those complex areas of technology. Most recently, David worked in technical marketing communications at Teledyne LeCroy, leaving to rejoin the EOEM B2B publishing world in January 2020. David earned a B.A. in journalism at New York University.

Sponsored Recommendations

Ultra-Low Phase Noise MMIC Amplifier, 6 to 18 GHz

July 12, 2024
Mini-Circuits’ LVA-6183PN+ is a wideband, ultra-low phase noise MMIC amplifier perfect for use with low noise signal sources and in sensitive transceiver chains. This model operates...

Turnkey 1 kW Energy Source & HPA

July 12, 2024
Mini-Circuits’ RFS-2G42G51K0+ is a versatile, new generation amplifier with an integrated signal source, usable in a wide range of industrial, scientific, and medical applications...

SMT Passives to 250W

July 12, 2024
Mini-Circuits’ surface-mount stripline couplers and 90° hybrids cover an operational frequency range of DC to 14.5 GHz. Coupler models feature greater than 2 decades of bandwidth...

Transformers in High-Power SiC FET Applications

June 28, 2024
Discover SiC FETs and the Role of Transformers in High-Voltage Applications