HILLSBORO, Ore. – Mar. 7, 2023 – Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced that it has joined the Autotech Council, a mobility ecosystem community of auto makers, mobility companies, and startups focused on solving mobility and transportation challenges. Lattice will work closely with other Autotech Council members to advance in-vehicle […]
Delivers industry-leading power efficiency, small form factor and performance Expands product portfolio and doubles addressable market HILLSBORO, Ore. – Dec. 5, 2022 – Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today unveiled Lattice Avant™, a new FPGA platform purpose-built to bring the company’s power efficient architecture, small size, and performance leadership to mid-range
Lattice Extends Low Power Leadership with New Lattice Avant FPGA Platform Read More +
Nick Sullivan, Researcher at Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Sullivan demonstrates a version of his company’s MASE AI engine, ported to run on an automotive embedded system. Its functionality has been expanded to estimate fatigue and distraction. It is optimized
Lattice Semiconductor Demonstration of a Driver Monitoring System Read More +
Nick Sullivan, Researcher at Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Sullivan demonstrates the software-only Glance by Mirametrix solution, which uses an AI engine (MASE) running on the system-on-chip (SoC) to detect users in the scene. For the main user it, among
Lattice Semiconductor Demonstration of 3D Attention Sensing Read More +
Hussein Osman, Marketing Director at Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Osman demonstrates user experiences enabled in the latest generation of a laptop, including presence detection, attention tracking and onlooker detection. Such capabilities allow devices to be instantly on for use,
This blog post was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. On-device AI inference capability is expected to reach 60% of all devices by 2024, according to ABI Research. This underscores the rapid speed of AI innovation to take place in the last few years that
Accelerating Innovation in Low Power AI Applications with Lattice FPGAs Read More +
Hussein Osman, Segment Marketing Director at Lattice Semiconductor, presents the “Accelerate Tomorrow’s Models with Lattice FPGAs” tutorial at the May 2022 Embedded Vision Summit. Deep learning models are advancing at a dizzying pace, creating difficult dilemmas for system developers. When you begin developing an edge AI system, you select the best available model for your
This blog post was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. The AI/ML revolution continues to gain traction across multiple applications, particularly Edge applications. Edge devices like security cameras, robots, industrial equipment, Client PCs, and even toys can now support AI/ML capabilities that provide users with
Lattice sensAI Stack Enables Next Generation Edge AI Experiences Read More +
HILLSBORO, Ore. – March 15, 2022 – Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced updates to the Lattice mVision™ Solution Stack with expanded capabilities that deliver flexible interface bridging and higher quality image signal processing (ISP) performance. Lattice also introduced new hardware boards based on the latest Lattice Nexus™ platform that
This blog post was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. Countries around the world are mandating that vehicle manufacturers install various advanced driver-assistance systems (ADAS) capabilities and functions. These ADAS features demand sophisticated detection capabilities using a combination of sensors, including image (camera), LiDAR, radar,
CrossLink-NX FPGAs for Automotive Embedded Vision Applications Read More +
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