Lattice Enhances sensAI Solution Stack with Edge AI Performance, Efficiency, and Ease of Use

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.

edge computing technical

Edge computing is a technology that processes data close to where it is generated, such as sensors or devices, rather than sending it all to a distant central location. This allows for faster decision-making and reduces delays, much like having a local office handle urgent matters instead of waiting for instructions from a main headquarters. For investors, it signifies improved efficiency and real-time insights, which can enhance the performance of technology-dependent industries.

risc-v technical

A royalty-free, open instruction set architecture (ISA) that acts like a blueprint for how a computer’s brain understands and executes commands. Because it is not owned by a single company and can be freely implemented and customized, RISC‑V can lower licensing costs, speed product development, and encourage competition and supply-chain diversification—factors investors watch because they affect margins, market share, and the pace of innovation in chips and devices.

yaml technical

YAML is a human-friendly format for storing and exchanging structured data, like a neatly organized checklist that both people and software can read. Investors encounter YAML when companies publish machine-readable documents, configuration files, or datasets used for automated reporting, regulatory filings, or data feeds; clear YAML makes it easier to verify numbers, automate analysis, and reduce errors that could affect trading or compliance.

human-machine interface (hmi) technical

The human-machine interface (HMI) is the screen, controls or software that let a person interact with a machine or automated system—think of it as the dashboard and knobs that translate human intent into machine action and show machine status back to the user. Investors care because a well-designed HMI improves efficiency, safety and customer adoption, reducing operating costs and product returns, while a poor HMI can create downtime, regulatory problems or lost sales.

‒ Latest Lattice sensAI™ solution stack delivers industry-leading power efficiency, expanded AI model support, and flexible deployment tools for next-generation edge applications ‒

HILLSBORO, Ore.--(BUSINESS WIRE)-- Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced the latest release of the Lattice sensAI™ solution stack delivering expanded model support, enhanced AI performance, and greater deployment flexibility for a wider range of edge applications. With new purpose-built models, upgraded tools, and improved compatibility, Lattice sensAI empowers developers to achieve higher performance, lower power consumption, and faster integration of AI capabilities for Industrial, Automotive, and Consumer systems.

“Edge computing and AI are transforming how systems operate, increasing demand for solutions that deliver both low power and high performance,” said Raemin Wang, Vice President, Segment Marketing, Lattice Semiconductor. “With the latest version of our sensAI solution stack, we give system designers a robust set of new capabilities to help them build smarter, faster, and more efficient solutions for applications ranging from industrial automation to vehicular infotainment and security to prosumer devices, and beyond.”

"Our collaboration with Lattice Semiconductor enables Mitsubishi Electric and Lattice to jointly develop edge AI for industrial equipment, combining FPGA-based AI acceleration with industrial know-how to create scalable, secure solutions for next-generation automation,” said Naoki Nakamura, General Manager of the Numerical Control System Department, Mitsubishi Electric.

The latest Lattice sensAI solution stack (version 8.0) enables smart sensing at the far edge with low power, customizable AI solutions, delivering:

• Extended purpose-built model support
  • Expansion of pre-trained Human-Machine Interface (HMI) models and new models for multi-object and defect detection
• Upgraded accelerator engine with enhanced compiler tools
  • Advanced topology support for broader AI model compatibility
• Ease-of-use improvements
  • Complete set of tools and enhanced interfacing with Python API integration
• Flexible deployment and automation
  • Simplified RISC-V® codebase for customization
  • YAML-based automation for rapid prototyping

Supporting Resources

• For more information about the Lattice sensAI solution stack, visit the product webpage and read the launch blog.
• For more about Lattice’s robust portfolio of edge AI solutions, explore the Lattice edge AI solutions webpage.
• For more information about Lattice, please visit https://www.latticesemi.com

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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Sophia Hong

Lattice Semiconductor

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Lattice Semiconductor

408-826-6000

Rick.Muscha@latticesemi.com

Source: Lattice Semiconductor