electronica

electronica 2026

Nov. 10-13, 2026 | Munich, Germany
Hall C4, Booth No. 159

Join us at electronica 2026

Innovating what's next in intelligent systems

As intelligent systems move from the cloud to the physical world – perceiving, deciding and acting in real time – the need for responsive, secure and efficient technology has never been greater. TI empowers engineers to build what’s next: intuitive development tools that simplify complexity, reliable real-time control for next-generation automation, scalable automotive platforms, and power architectures designed for efficiency and grid resilience. Join us at electronica to see how we’re innovating what’s next in intelligent systems.

Listen to our experts

Date
Time
Session title
Speaker
Location
Nov. 10 10:00 - 10:20 Future-proofing the Automotive Supply Chain
Under the EU Cyber Resilience Act
Heinz-Peter Beckemeyer Cybersecurity Forum,
Future Tech Stage,
Hall C6
Nov. 10 16:30 - 17:30 Roundtable: AI at the Edge for IIoT Vinay Agarwal IIoT Forum,
Future Tech Stage, 
Hall C6
Nov. 12 14:20 - 14:40 Accelerating Embedded: How Open Source and
AI Agents are Changing the Playing Field
Marian Kost
Embedded Developer Forum, 
Future Tech Stage,
Hall C6

Experience intelligent systems

Accelerating the path from concept to production

Simplify increasingly complex embedded systems using smarter, faster tools from concept to code

TI harnesses generative artificial intelligence (AI) to simplify embedded development, empowering engineers to build smarter applications faster with free, intuitive tools and open-source frameworks. With the CCStudio™ development tool ecosystem, engineers gain access to industry-standard AI agents and models for code development, system configuration and debugging. Combined with Zephyr real-time operating system support across our microcontroller (MCU), microprocessor and wireless connectivity portfolio, engineers can accelerate development, deploy edge AI models, and reduce time to market.

Transforming industrial automation

Meet the demand for real-time reliability, safety and deterministic control in complex industrial systems

TI enables real-time control with MCUs, gallium nitride (GaN)-based motor drivers and multimodal sensing for industrial automation and autonomous systems. Industrial communication standards – 10BASE-T1L, 10BASE-T1S and Time Sensitive Networking – form a deterministic network backbone for reliable, unified systems. Whether supporting predictive maintenance on factory floors or enabling humanoid robots to operate safely alongside human workers, TI’s real-time infrastructure solutions are engineered for the deterministic safety and performance that both industrial automation and physical AI demand.

Architecting intelligent vehicles

Drive higher computing, sensing, networking, and power performance across every layer of AI-defined vehicle architectures

More intelligent vehicles require optimizing data communication and power distribution across every node. Our AI-powered processors work with specialized networking protocols, including Ethernet and Flat Panel Display (FPD)-Link IV, to support AI functionality such as real-time sensor fusion and autonomous decision-making, while scalable 12V and 48V zones optimize power distribution across the vehicle. Each zone supports a diverse set of edge nodes, from driver assistance systems like radar and camera to chassis systems like steering and braking.

Powering AI from grid to gate

Support AI demands by delivering efficient energy from grid infrastructure through data center systems

TI plays a significant role in enabling next-generation AI infrastructures, from complete 800VDC data center power architectures to reliable analog and embedded technologies for thermal management and optical modules. But powering AI starts well before the data center. From renewable energy generation, conversion and storage at the grid to the gates of data center processors, our solid-state transformer technology, GaN-based AC/DC converters and battery-management solutions with integrated electrochemical impedance spectroscopy help build a smarter, more resilient energy ecosystem.