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CrossLinkPlus devices are low power FPGAs featuring integrated flash memory, a hardened MIPI D-PHY and high-speed I/Os for instant-on and flexible on-device programming capabilities, while bringing ready-to-use IPs to accelerate video bridging application development.

Lattice Semiconductor sponsored the Microsoft Sensors Hack, part of the larger 2019 Hackathon event, where Microsoft teams used the Lattice sensAI solutions stack for smart vision systems to create potential use cases for AI and sensors.

Read the latest comms and computing news from Lattice: Low power wireless Heterogenous Networks development and upgrade security with Lattice’s MachXO3D FPGA.

If you’re looking at ways to implement Edge AI, be sure to read about the use cases for the Lattice sensAI solution stack for always-on Edge devices covered at the end of our white paper.

If you missed the 2019 Embedded Vision Summit, check out the latest sensAI demos from Lattice to and see what smart vision can enable in Edge devices

Read the latest automotive and industrial news from Lattice: New MachXO3D FPGA brings secures entire systems with hardware root-of-trust, Crosslink bridge connects industrial displays to mobile processors, new 3D Depth Mapping demo, new Scaler IP core for ECP5, and a new version of Diamond Software v 3.11 adds support for MachXO3D.

We live in an increasingly connected world, filled with communication systems, cloud computing and Edge devices working together to increase safety, comfort and convenience. But with that connectivity comes risk. We’re all familiar with how hackers exploit vulnerabilities in software to illegitimately access systems, but hardware is also vulnerable.

A year ago we launched the Lattice sensAI solutions stack. Since then, the need for AI at the Edge has continued to grow. Consider this statistic from Tractica: by 2025 the market for Edge-based AI chipsets is forecasted to hit $51.6 billion (that’s over three times their forecasted revenues for cloud-based AI chips). Why all the interest in chips that support AI at the Edge?

We’ve published a couple blog posts exploring how support for AI-powered imaging systems in embedded devices operating at the network edge can benefit specific applications in smart factories and smart homes. But embedded vision can also benefit the retail customer experience.

Last week at Embedded World, the Nürnberg Exhibition Center was abuzz with conversations about today’s hottest tech topic, artificial intelligence (AI), as embedded engineers prowled the show floor looking for ways to quickly and easily add AI support to future products. Lucky for them, Lattice Semiconductor had the solutions they were looking for.