Found in Robotics News & Content, with a score of 32.67
May 15, 2020
MathWorks introduces Release 2020a with expanded AI capabilities for deep learning. Engineers can now 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. AI and Deep Learning “MathWorks provides a comprehensive platform for building AI-driven systems,” says David Rich, MATLAB marketing director. “We’ve taken three decades of product, consulting and support…
Found in Robotics News & Content, with a score of 40.52
February 28, 2020
MathWorks announces that with the recent availability of Release 2019b of the MATLAB and Simulink product families, Vision HDL Toolbox includes native multipixel streaming support to process high-frame-rate (HFR) and high-resolution videos on FPGAs. Video, image processing and FPGA design engineers can speed the exploration and simulation of behavior and implementation tradeoffs when processing 4k or 8k video and videos with resolutions of 240fps or higher. Vision HDL Toolbox offers blocks that can process four or eight pixels in parallel, with the underlying hardware implementation automatically updated to support simulation and code generation with the specified parallelism. This capability helps…
Found in Robotics News & Content, with a score of 39.18
October 02, 2019
…things are happening in engineering technology, we usually find MathWorks waiting there for us. There is a new release of MATLAB and Simulink capabilities in support of artificial intelligence (AI), robotics, automotive engineering and more tools for engineering success. It was a no-brainer to select MathWorks Release 2019b as our Editor’s Pick of the Week. Our readership surveys reveal strong and growing interest in AI and deep learning (DL) for product design. MATLAB is there in the 2019b update with various new features, including new tools for data preparation and labeling, with a focus on identifying and visualizing what DL…
Found in Robotics News & Content, with a score of 48.50
June 19, 2019
MathWorks announces expanded access to MATLAB Parallel Server to help speed academic research. Now all researchers and students at academic institutions with a MathWorks Campus-Wide License that includes MATLAB Parallel Server have unlimited access to scale MATLAB programs and Simulink simulations to clusters and clouds. The new flexible usage policy also extends to visiting professors and researchers from other academic institutions to enable collaboration. MATLAB Parallel Server provides a way to use additional compute resources to speed up research. Now faculty, researchers and students across an entire campus can run an unlimited number of simultaneous MATLAB computational engines, called MATLAB…
Found in Robotics News & Content, with a score of 7.98
May 01, 2019
…edge,” warns Seth DeLand, product marketing manager, data analytics, MathWorks. Machine Learning’s Dilemma Collecting data from edge devices gives you a wealth of data—hourly temperatures and vibrations from a factory equipment or the daily wind loads a wind turbine is subjected to, for example—but not necessarily an easy path toward failure analysis or product design improvement. The first hurdle is most likely the data quality. “The data from the devices isn’t going to be as clean as the data engineers are used to getting from a physical test or a lab,” says DeLand. “It might include, for example, a chunk…
Found in Robotics News & Content, with a score of 12.05
March 01, 2019
…principal product manager, Computer Vision and Automated Driving, at MathWorks. “Really you can use this any place where there is enough data that you can learn a particular task,” Nehemiah says. “We’re seeing users apply deep learning and have been astounded by the variety of applications in design engineering workflows.” Engineers are also incorporating deep learning into products they design, using speech recognition, language processing and imaging processing. Banerjee says that ANSYS customers are using deep learning to help improve Internet of Things (IoT) applications by improving the accuracy of predictive maintenance and analytics in their products. “You can use…
