MathWorks’ cover photo
MathWorks

MathWorks

Software Development

Natick, MA 485,516 followers

Accelerating the Pace of Engineering and Science

About us

MathWorks is the leading developer of mathematical computing software. Engineers and scientists worldwide rely on its products to accelerate the pace of discovery, innovation, and development. MATLAB, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Simulink is a graphical environment for simulation and Model-Based Design for multidomain dynamic and embedded systems. MATLAB and Simulink are also fundamental teaching and research tools in the world's universities and learning institutions. Founded in 1984, MathWorks employs more than 6000 people in 16 countries, with headquarters in Natick, Massachusetts, USA.

Website
http://mathworks.com
Industry
Software Development
Company size
5,001-10,000 employees
Headquarters
Natick, MA
Type
Privately Held
Founded
1984

Locations

Employees at MathWorks

Updates

  • View organization page for MathWorks

    485,516 followers

    A sustainable future requires action. This Earth Month, we’re sharing how MathWorks is working to decarbonize our operations, and how we hold ourselves accountable along the way. Here’s what that looks like in practice: • Improving efficiency across facilities and data centers • Supporting renewable energy through on-site solar and a 12-year VPPA offsetting 100% of our North American electricity load. Our portion alone has generated nearly 95,000 MWh of clean, wind-powered electricity • Supporting nature-based carbon removal projects, including reforestation with the Arbor Day Foundation We’re continuing to measure our impact, improve our operations, and invest in solutions that support a lower-carbon future. #EarthMonth

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  • 6G will unlock new use cases for wireless cellular networks, such as sensing and building digital twins. To support these innovations, integrating advanced link-level simulations with ray tracing delivers high simulation accuracy in performance evaluations 📶 📡 Learn how MATLAB can be connected with NVIDIA Aerial Omniverse Digital Twin for 6G research: https://spr.ly/6048B6lTge

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  • Visualizing 3D volume data in MATLAB? Save this 👇 Here are a few go‑to techniques, depending on what you want to see: • Isosurfaces → highlight constant‑value regions inside a volume • Cone plots → visualize vector magnitude + direction • Streamlines / streamtubes → understand flow behavior in 3D fields • Combined views → layer techniques for deeper insight 📌 Tip: Combining isosurfaces with flow visualization often reveals patterns you’ll miss with a single plot

  • Are you competing in a Formula Student Driverless competition? 🏎️ 📽️ See how to simulate the Silverstone F1 track using Delaunay triangulation, false positive cone handling, real-time incremental path planning, and minimum curvature racing line optimization ⤵️

  • Recently, MathWorks volunteers packed 675 essential‑care kits in partnership with Dignity Matters. Each kit helps provide basic supplies to women facing homelessness or hardship, supporting health, dignity, and day‑to‑day stability. Proud of the team effort and the tangible impact it made in our local community 💜

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  • Most machine learning projects don’t slow down because of models; they slow down because teams pick the wrong workflow too early. If you’re working with limited data, messy signals, or deployment constraints, the MATLAB app you start with matters more than people expect. This quick guide breaks down which MATLAB apps fit common data science and AI scenarios, from exploration and labeling to training and validation. 👉 Save it for the next time you’re deciding how to start ⤵️

  • Electric motor control is behind how engineers manage speed, torque, and position in everything from EVs to industrial systems. Because electric motors account for ~45% of global electricity use, even small efficiency gains can have a big impact. Common approaches range from V/f, FOC, and DTC to advanced strategies like MPC, ADRC, and reinforcement learning, all typically developed through a model‑based workflow before deployment on embedded hardware. Learn more about electric motor control workflows and techniques → https://spr.ly/6047B6dofd

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