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Ai comes to MATLAB and Simulink with new 2019a release

Today MathWorks introduced Release 2019a of MATLAB and Simulink. The release contains new products and important enhancements for artificial intelligence (AI), signal processing, and static analysis, along with new capabilities and bug fixes across all product families. “One of the key challenges in moving AI from hype to production is that organizations are hiring AI ‘experts’ and trying to teach them engineering domain expertise. With R2019a, MathWorks enables engineers to quickly and effectively extend their AI skills, whether it’s to develop controllers and decision-making systems using reinforcement learning, training deep learning models on NVIDIA DGX and cloud platforms, or applying deep learning to 3-D data,” said David Rich, MATLAB marketing director.”

MATLAB adds new capabilities with Release R2018a

Today MathWorks rolled out Release 2018a with a range of new capabilities in MATLAB and Simulink. “R2018a includes two new products, Predictive Maintenance Toolbox for designing and testing condition monitoring and predictive maintenance algorithms, and Vehicle Dynamics Blockset for modeling and simulating vehicle dynamics in a virtual 3D environment. In addition to new features in MATLAB and Simulink, and the new products, this release also includes updates and bug fixes to 94 other products.”

Video: Evolution of MATLAB

Cleve Moler from MathWorks gave this talk at the 2017 Argonne Training Program on Extreme-Scale Computing. “MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. Typical uses include: Data analysis, exploration, and visualization.”

Intel DAAL Accelerates Data Analytics and Machine Learning

Intel DAAL is a high-performance library specifically optimized for big data analysis on the latest Intel platforms, including Intel Xeon®, and Intel Xeon Phi™. It provides the algorithmic building blocks for all stages in data analysis in offline, batch, streaming, and distributed processing environments. It was designed for efficient use over all the popular data platforms and APIs in use today, including MPI, Hadoop, Spark, R, MATLAB, Python, C++, and Java.

OCF Deploys Fujitsu HPC Cluster at University of East Anglia

OCF in the U.K. recently deployed a new Fujitsu HPC cluster at the University of East Anglia. As the University’s second new HPC system in 4-years, the cluster can be easily scaled and expanded in the coming months through a framework agreement to match rapidly increasing demand for compute power.

Announcing the Ceemple Tool for C++ Technical Computing

Programmers have a new tool for technical computing in Windows. Ceemple is an innovative solution enabling rapid C++ based scientific computing.