Lattice Collaborates with TI to Accelerate Edge AI for Robotics and Industrial Applications

Key Terms

fpga technical

A field-programmable gate array (FPGA) is a type of computer chip whose internal wiring can be changed after it is made, allowing engineers to program custom hardware functions without designing a new chip. For investors, FPGAs matter because that flexibility lets companies quickly adapt products to new software, standards, or customer needs—like a toolbox that can be rearranged to build different machines—so demand and pricing can shift with trends in data centers, telecommunications, AI, and specialized electronics.

mmwave radar technical

Millimeter-wave (mmWave) radar is a sensor that sends and receives very short radio pulses to map the position, speed and size of nearby objects with high detail, even through rain, fog or darkness. For investors, mmWave capability signals a product’s technical edge in areas like advanced driver assistance, robotics and wireless infrastructure, affecting potential sales, margins and competitive positioning in markets that prize precise, reliable sensing.

gpu technical

A GPU (graphics processing unit) is a specialized computer chip designed to handle many calculations at once, originally for rendering images and video but now widely used for tasks like artificial intelligence, data analysis and high-performance computing. Investors watch GPU demand and prices because strong sales often signal growth for chip makers and their customers, affect profit margins and capital spending, and can forecast wider trends in gaming, AI adoption and cloud services.

edge ai technical

Edge AI refers to artificial intelligence systems that process data directly on local devices or nearby servers rather than sending information to distant data centers. This allows for faster decision-making and real-time responses, similar to how a home security camera can instantly detect motion without needing to connect to a remote server. For investors, edge AI represents a growing trend toward more efficient, responsive technology that can create new opportunities across various industries.

sensor fusion technical

Sensor fusion is the process of combining data from multiple sensors—like cameras, radar, microphones, or motion detectors—to create a single, clearer picture of what’s happening in the real world. For investors, better fusion means products and systems that are safer, more reliable, or smarter (think a car using several eyes and ears to avoid collisions), which can reduce costs, speed product adoption, and improve a company’s competitive edge.

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HILLSBORO, Ore.--(BUSINESS WIRE)-- Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced that the company is collaborating with Texas Instruments (TI) to simplify sensor integration and to scale real-time edge AI systems. The combination of TI’s sensing technologies and the Lattice Holoscan Sensor Bridge solution, based on Lattice low power FPGA technology, will provide developers with a flexible hardware foundation for synchronized, low latency sensor data pipelines in advanced robotics and industrial applications.

The collaboration demonstrates a real-time AI sensor fusion architecture that integrates TI mmWave radar and camera sensors using NVIDIA Holoscan Sensor Bridge running on Lattice’s low power FPGA. The FPGA acts as a companion chip delivering synchronized sensor data directly into GPU-accessible memory to enable low latency and robust perception for robotics and industrial edge AI applications.

“As edge AI systems scale, developers need flexible platforms that simplify sensor integration while delivering predictable real-time performance,” said Raemin Wang, Vice President, Segment Marketing, Lattice Semiconductor. “By integrating NVIDIA Holoscan Sensor Bridge solutions and pairing Lattice FPGAs with TI’s radar sensor expertise, we are creating powerful technology that helps developers efficiently connect real world sensors to NVIDIA platforms, enabling real-time AI sensor fusion and accelerating the transition from evaluation to production.”

“Real-time sensor fusion is essential for enabling safe and reliable physical AI systems,” said Giovanni Campanella, general manager of industrial automation and robotics at Texas Instruments. “By combining TI’s mmWave radar technology with Lattice’s Holoscan Sensor Bridge solutions, developers can build low latency perception pipelines that scale from development to real world deployment.”

The ecosystem of Lattice Holoscan solutions is growing through collaboration with industry-leading sensor, compute, and software partners, enabling deterministic data movement, low latency performance, flexible sensor connectivity, and low power operation. This expanding ecosystem provides developers with a strong foundation to build scalable, production-ready edge AI systems for robotics, industrial automation, and emerging physical AI applications.

Supporting Resources

• For more information on Lattice Holoscan Sensor Bridge Solution, please visit Lattice Holoscan Sensor Bridge Solution page
• For more information about Lattice’s robust edge AI offerings, please visit Lattice edge AI and FPGA Solutions
• For more information on TI mmWave radar sensors, please visit TI’s Industrial mmWave Radar Sensor Solutions webpage and read the application brief

About Lattice Semiconductor

Lattice Semiconductor (NASDAQ: LSCC) is the low power programmable leader. We solve customer problems across the network, from the Edge to the Cloud, in the growing Communications, Computing, Industrial, Automotive, and Consumer markets. Our technology, long-standing relationships, and commitment to world-class support let our customers quickly and easily unleash their innovation to create a smart, secure, and connected world.

For more information about Lattice, please visit www.latticesemi.com. You can also follow us via LinkedIn, X, Facebook, YouTube, WeChat, or Weibo.

Lattice Semiconductor Corporation, Lattice Semiconductor (& design), and specific product designations are either registered trademarks or trademarks of Lattice Semiconductor Corporation or its subsidiaries in the United States and/or other countries. The use of the word “partner” does not imply a legal partnership between Lattice and any other entity.

GENERAL NOTICE: Other product names used in this publication are for identification purposes only and may be trademarks of their respective holders.

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MEDIA CONTACT:
Sophia Hong
Lattice Semiconductor
503-268-8786
Sophia.Hong@latticesemi.com

INVESTOR CONTACT:
Rick Muscha
Lattice Semiconductor
408-826-6000
Rick.Muscha@latticesemi.com

Source: Lattice Semiconductor