Intel and Altera team up to simplify sensor connections for real-time AI

Intel and Altera are collaborating on modular hardware designs that connect sensors to AI computing systems in real time. Announced November 10, 2026, the effort combines Intel computing, connectivity and software with Altera’s programmable chips. The companies aim to ease integration for equipment makers in healthcare, aerospace and defense, and robotics—not launch a finished product.

Getting sensor data to the processor

The collaboration addresses the work of bringing different sensors and interfaces together. Intel describes systems that must collect those inputs while staying within limits on timing, performance, power use and cost.

The physical layout adds another constraint. Some applications need very high data bandwidth; others place input and output connections away from the main computing board. Sensor readings then have to stream rapidly into memory for the host Intel processor to use.

Intel supplies the computing, connectivity and software side; Altera contributes FPGAs, programmable hardware for sensor connectivity, data processing and real-time control. The companies want equipment makers to retain flexibility as applications, sensors and workloads evolve.

Physical AI systems have to sense, decide, and act in real time, and the physical world demands accuracy, reliability, and safety.

Farhad Shafai, head of business solutions and marketing at Altera

One foundation, different design limits

• Healthcare: The companies are jointly developing a reference solution for advanced healthcare equipment. It targets stringent latency requirements—the delay between input and response—as well as real-time operation.
• Aerospace and defense: The reference solutions target next-generation mission systems that combine AI and signal processing. Here, the companies specifically identify size, weight and power requirements.
• Robotics: The planned combination includes Intel’s robotics software as well as its computing and connectivity technology. Altera’s FPGA hardware is intended to help address increasingly complex sensing, timing and real-time processing requirements.

Developer access remains a future commitment

Developers will access the capabilities through Intel’s Open Edge Platform SDK and an Altera SDK, the companies say.

Intel edge-computing chief Dan Rodriguez frames the intended benefit as a faster path from prototype to market deployment while meeting performance, power and cost needs. That remains a development goal.