Electronic Specifier at embedded world 2026 with Texas Instruments

Electronic Specifier at embedded world 2026 with Texas Instruments Electronic Specifier at embedded world 2026 with Texas Instruments

At embedded world 2026, Managing Editor, Paige Hookway speaks with Amichai Ron, Senior Vice President and General Manager at Texas Instruments about how AI – both Generative AI (GenAI) and Edge AI – is evolving and reshaping the way engineers design and deploy systems.

Ron began by outlining his role at TI, which encompasses embedded processing, and emphasised the company’s commitment to helping customers leverage AI effectively.

“We are proud to show our products and the tools that make it easy for customers to use both GenAI and Edge AI,” he said.

Over the past 12 months, Ron explained, AI has transformed rapidly. While two to three years ago customers were primarily interested in GenAI for code generation, today there is increasing demand for Edge AI to improve system efficiency, reduce power consumption, and enhance overall performance. TI now showcases around 60 different AI applications at the show, and Ron expects this number to expand into the thousands over the next year or two.

When asked about TI’s strategic response to the AI boom, Ron highlighted the company’s dual approach. As a silicon provider, TI equips customers with a full suite of microcontrollers, microprocessors, wireless connectivity solutions, and radar devices that all support AI. Beyond hardware, TI supplies an integrated toolchain to simplify AI adoption – from generating code to training models and deploying them on Edge devices.

“Customers need to have every device, and they need a toolchain that allows them to program easily and use AI in every application,” Ron noted.

Looking ahead, Ron sees AI adoption accelerating as more customers discover new applications. He shared that even those who previously relied solely on traditional microcontrollers are now exploring AI for familiar components, such as sensors, to achieve higher accuracy, lower latency, and improved energy efficiency – capabilities that were difficult or impossible just a couple of years ago.

Watch the video to get some insight into some of TI’s AI demos at embedded world 2026.

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