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Flexible Channel Emulation Workflows on USRPs with MATLAB and Simulink

Tue, 06 Oct 2026 00:00:00 +0000

Guest bloggers:

Nadia Shivarova (Senior Wireless Application Engineer) & Neil MacEwen (Pricinpal Development Engineer)

Recently, it seems that everyone is talking about the new AI model in town, Jev. Built by a company called TypeSafe AI, Jev is a completely different type of AI to the ones we have gotten used to in recent years. There's no chat bot for a start! It doesn't produce code and it doesn't explain its reasoning to you. So, what does it do?

Thu, 01 Oct 2026 00:00:00 +0000
My various social media feeds are full of discussion of the September "Back-to-school" reset. I feel it too, even though it's now 30 years since I started my undergraduate physics degree at The University of Sheffield. I have the urge to declutter, buy new stationery and, of course, update my MATLAB! 
R2026b was released on 23rd September 2026 and contains some features that we've been working
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プレーンテキスト化された MATLAB アプリが R2026b に登場: Diff が読める

Wed, 30 Sep 2026 00:00:00 +0000

※この投稿は 2026 年 9 月 28 日に  MATLAB Graphics and App Building へ 投稿されたものの抄訳です。

-- Guest Writer: Daniel Cuccia Danny は App Building Infrastructure チームのソフトウェアエンジニアです。2018 年に App Designer チームで MathWorks でのキャリアをスタートしました。アプリのコード生成アーキテクチャのような機能に取り組む中で、MATLAB の内部システムがどう連携しているかへの理解が深まり、現在はインフラストラクチャチームで MATLAB におけるアプリのアーキテクチャそのものの仕組みに携わっています。オーディオ工学、シミュレーションプログラミング、ゲーム開発まで幅広く学んできましたが、自分が作るものを支える土台として、常にソフトウェアアーキテクチャに強く惹かれてきました。 MathWorks

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From outputs to processes: My thoughts from SEFI 2026

Mon, 28 Sep 2026 00:00:00 +0000

The 54th SEFI Annual Conference brought more than 600 engineering educators to the Czech Technical University in Prague this September, under the theme "Engineering Education for Humanity in a Challenging World." I came back with a better grasp of the problems our educator colleagues face, and with new collaboration opportunities to explore.

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Plain-Text MATLAB Apps in R2026b: A Diff You Can Read

Mon, 28 Sep 2026 00:00:00 +0000

Guest Writer: Daniel Cuccia Danny is a software engineer on the App Building Infrastructure team. He started his career at MathWorks in 2018 on the App Designer team. As his understanding of how MATLAB's internal systems fit together grew, through work on features like the app code generation architecture, he found his way to the infrastructure team, where he now works on how app architecture itself works in MATLAB. Danny has studied everything from audio engineering to simulation programming to game development, but has always been drawn to software architecture as the backbone of what he builds. Outside of MathWorks he plays countless instruments, snowboards, and is always picking up a new hobby alongside his family.

What's New in R2026b?

Thu, 24 Sep 2026 00:00:00 +0000

MATLAB R2026b is now available. Here are my favorite enhancements.

Published Referenced Models

Bio: This is a guest post by Toshi Takeuchi, Community Advocate active in online communities. Toshi has held many marketing roles at MathWorks over the last 20 years

You hear about AI agents everywhere these days, but you are not sure what they are, or how real they are. Is it just a hype? I was impressed by what they can do,

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Run a Hackathon with MATLAB and Simulink!

Mon, 21 Sep 2026 00:00:00 +0000

Today, we have Grace Woolson from the Student Programs team with us to talk about hackathons and how you can get started. Over to you, Grace...

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5G 無線通信システム開発におけるAgentic AI：AIアシスタントを無線通信の専門家へ

Thu, 17 Sep 2026 00:00:00 +0000

※この投稿は 2026 年 9 月 2 日に Semiconductor Design and Verification へ投稿されたものの抄訳です。 --

AI コーディングアシスタントをめぐる熱気は、いくら強調してもしすぎることはありません。エンジニアは GitHub Copilot、Claude Code、OpenAI Codex のようなツールを日々使い、ソフトウェア開発を加速し、定型作業を自動化しています。しかし、無線通信システム開発では、コード生成は課題の一部にすぎません。

現代の無線システムには、複雑な標準規格、分野固有の慣習、シミュレーションのワークフロー、検証プロセスが関わっており、単純なコード補完だけでは対処できません。Agentic AI が AI 支援エンジニアリングの次の進化として現れる中で、重要な問いが浮かび上がります。汎用の AI アシスタントを、どうすれば無線通信システム開発の専門家へと変えられるのでしょうか。本稿ではその答えを掘り下げ、MathWorks が専門家の知見に基づいて整備したツールとスキルによって、AI アシスタントを有能なエンジニアリングパートナーへ変えられることを示します。

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Debugging Example: Wrong MAT-File Format Fix - Attempt 2

Thu, 17 Sep 2026 00:00:00 +0000

Here I make a second attempt to fix the problem that was reported in my MATLAB web app, ditching the try catch statement from before. Features covered in this code-along style video include: save whos [bcvid id="6404554372112"] Play the video in full screen mode for a better viewing...

Collaborative Optimization on the Cody Frontier

Wed, 16 Sep 2026 00:00:00 +0000

I want to tell you a story of the spontaneous emergence of a spectacular collaboration. Four people, previously unknown to each other, created something miraculous, something that none of them could have foreseen or created on their own. But first I need to set the scene. Last year's Cody contest ran from November 10th to December 7th. It featured eleven tricky problems cooked up by our diabolical puzzlesmith (and professional MATLAB trainer), Matt Tearle. In Cody, as you know, your job is to solve a MATLAB programming challenge. Find the nth Fibonacci number, that sort of thing. Solve the challenge and you're done. That's all you need to do. But... ... but you might find yourself yearning for more. You might be tempted to solve the problem again, but this...

From Differential Equations to Data: Exploring Inverse Problems with PINNLab

Tue, 15 Sep 2026 00:00:00 +0000

Guest writers: Mohan Parthasarathy and Padmanabhan Seshaiyer, PhD Mohan Parthasarathy is a student at Thomas Jefferson High School for Science and Technology. Padmanabhan Seshaiyer, PhD, is Professor of Mathematics at George Mason University.

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TokaLab: An Open Access Virtual Tokamak for Education and Research

Mon, 14 Sep 2026 00:00:00 +0000

Mike's pick this week is TokaLab by Riccardo Rossi and the TokaLab Team. TokaLab was nominated by Temo Vekua.

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The Real ROI of Simulation: Preventing Errors Before They Exist

Thu, 10 Sep 2026 00:00:00 +0000

In my previous blogs, I’ve emphasized the importance of simulation for early verification as the key ROI of Digital Engineering. I’ll be honest up front; this is a lie. But not for the reasons you think. In the post Bridging the Gap: Why Verification is the Missing Link in Your Digital Thread Strategy, we discussed how Model-Based Systems Engineering is a significant investment, and that simulating those models for early verification, or shift-left, is an essential aspect to achieving a return on that investment. This is true. In the post Automatic Code Generation: The Unbroken Link in the Digital Thread, we also discussed how leveraging automatic code generation from these same models to extend...

Startup Spotlight: safecubed Brings Technical Expertise to Safety-Critical Development

Wed, 09 Sep 2026 00:00:00 +0000

For companies developing safety-critical systems, building a working product is only part of the challenge. They also need to prove that the product is safe, reliable, and ready for certification. For many engineering teams, progress can slow at this stage as certification requirements expose gaps in documentation, validation, traceability, and system design. safecubed helps customers move from working systems to certifiable products. Founded by six engineers, the startup combines functional safety expertise with hands-on engineering knowledge. Today, the company supports customers across automotive, industrial, and transportation industries. A Foundation Years in the Making The founders of safecubed spent more than a decade working together on safety-critical engineering projects before launching the company. When their previous employer ceased operations, the team faced a decision. A customer who trusted their work chose to continue...

Demystifying the Dark Art of Analog Design with Agentic AI

Tue, 08 Sep 2026 00:00:00 +0000

The word agent comes from the Latin verb agere, meaning “to do” or “to act.” In common parlance, an agent acts on behalf of another person or a group. However, the definition I find most useful is rooted in agency: the capacity to act or exert power. In that sense, Agentic AI is about giving AI delegated agency—enabling it to pursue goals, plan across steps, reason through tasks, use memory, and call external tools to execute workflows with increasing autonomy.

But how does one put AI agents to work effectively in engineering? Engineering is built on foundations of accuracy and determinism, both of which are things that Generative AI and LLMs regularly struggle with. Agentic AI offers another approach: enlist engineering tools with these key capabilities. Simulink has been used as a trusted design and simulation environment for engineering applications for decades and comes with the added advantage that it can clearly show

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