The upgraded CodeFusion Studio 2.0 simplifies how developers design, test and deploy AI on embedded systems.
Updated
November 27, 2025 3:26 PM

Illustration of CodeFusion Studio™ 2.0 showing AI, code and chip icons. PHOTO: ANALOG DEVICES, INC.
Analog Devices (ADI), a global semiconductor company, launched CodeFusion Studio™ 2.0 on November 3, 2025. The new version of its open-source development platform is designed to make it easier and faster for developers to build AI-powered embedded systems that run on ADI’s processors and microcontrollers.
“The next era of embedded intelligence requires removing friction from AI development”, said Rob Oshana, Senior Vice President of the Software and Digital Platforms group at ADI. “CodeFusion Studio 2.0 transforms the developer experience by unifying fragmented AI workflows into a seamless process, empowering developers to leverage the full potential of ADI's cutting-edge products with ease so they can focus on innovating and accelerating time to market”.
The upgraded platform introduces new tools for hardware abstraction, AI integration and automation. These help developers move more easily from early design to deployment.
CodeFusion Studio 2.0 enables complete AI workflows, allowing teams to use their own models and deploy them on everything from low-power edge devices to advanced digital signal processors (DSPs).
Built on Microsoft Visual Studio Code, the new CodeFusion Studio offers built-in checks for model compatibility, along with performance testing and optimization tools that help reduce development time. Building on these capabilities, a new modular framework based on Zephyr OS lets developers test and monitor how AI and machine learning models perform in real time. This gives clearer insight into how each part of a model behaves during operation and helps fine-tune performance across different hardware setups.
Additionally, the CodeFusion Studio System Planner has also been redesigned to handle more device types and complex, multi-core applications. With new built-in diagnostic and debugging features — like integrated memory analysis and visual error tracking — developers can now troubleshoot problems faster and keep their systems running more efficiently.
This launch marks a deeper pivot for ADI. Long known for high-precision analog chips and converters, the company is expanding its edge-AI and software capabilities to enable what it calls Physical Intelligence — systems that can perceive, reason, and act locally.
“Companies that deliver physically aware AI solutions are poised to transform industries and create new, industry-leading opportunities. That's why we're creating an ecosystem that enables developers to optimize, deploy and evaluate AI models seamlessly on ADI hardware, even without physical access to a board”, said Paul Golding, Vice President of Edge AI and Robotics at ADI. “CodeFusion Studio 2.0 is just one step we're taking to deliver Physical Intelligence to our customers, ultimately enabling them to create systems that perceive, reason and act locally, all within the constraints of real-world physics”.
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A new bet on early heart failure detection and why women’s health is at the center.
Updated
December 23, 2025 12:36 PM

A doctor holding an artificial heart model. PHOTO: ADOBE STOCK
Heart disease does not always announce itself clearly, especially in women. Many of the symptoms are ordinary, including fatigue, shortness of breath and swelling. These signs are frequently dismissed or explained away. As a result, many women are diagnosed late, when treatment options are narrower and outcomes are worse. That diagnostic gap is the context behind a recent investment involving Ultromics and the American Heart Association’s Go Red for Women Venture Fund.
Ultromics is a health technology company that uses artificial intelligence to help doctors spot early signs of heart failure from routine heart scans. It has received a strategic investment from the American Heart Association’s Go Red for Women Venture Fund.
The focus of the investment is a long-standing blind spot in cardiac care. Heart failure with preserved ejection fraction, or HFpEF, affects millions of people worldwide, with women disproportionately impacted. It is one of the most common forms of heart failure, yet also one of the hardest to diagnose. Studies even show women are twice as likely as men to develop the condition and around 64% of cases go undiagnosed in routine clinical practice.
Ultromics works with a tool most patients already experience during heart care: the echocardiogram. There is no new scan and no added burden for patients. Its software analyzes standard heart ultrasound images and looks for subtle patterns that point to early heart failure. The goal is clarity. Give clinicians better signals earlier, before the disease advances.
“Heart failure with preserved ejection fraction is one of the most complex and overlooked diseases in cardiology. For too long, clinicians have been expected to diagnose it using tools that weren't built to detect it and as a result, many patients are identified too late,” said Ross Upton, PhD, CEO and Founder of Ultromics. “By augmenting physicians' decision making with EchoGo, we can help them recognize disease at an earlier stage and treat it more effectively.”
The stakes are high. Research suggests women are twice as likely as men to develop the condition and that a majority of cases are missed in routine clinical practice. That delay matters. New therapies can reduce hospitalizations and improve survival, but only if patients are diagnosed in time.
This is why early detection has become a priority for mission-driven investors. “Closing the diagnostic gap by recognizing disease before irreversible damage occurs is critical to improving health for women—and everyone,” said Tracy Warren, Senior Managing Director, Go Red for Women Venture Fund. “We are gratified to see technologies, such as this one, that are accepted by leading institutions as advances in the field of cardiovascular diagnostics. That's the kind of progress our fund was created to accelerate.”
Ultromics’ platform is already cleared by regulators for clinical use and is being deployed in hospitals across the US and UK. The company says its technology has analyzed hundreds of thousands of heart scans, helping clinicians reach clearer conclusions when traditional methods fall short.
Taken together, the investment reflects a broader shift in healthcare. Attention is shifting earlier—toward detection instead of reaction. Toward tools that fit into existing care rather than complicate it. In this case, the funding is not about introducing something new into the system. It is about seeing what has long been missed—and doing so in time.