At this year’s Embedded World 2022, Lattice presented a keynote address by Steve Douglass, head of R&D, the importance of flexibility and adaptability in embedded system design – both at the software layer and the hardware layer – to keep pace with the major technology trends of today and tomorrow. This blog provides a high-level recap of the presentation.
We are living in a time in our industry with some of the most profound changes in technology that are fundamentally re...
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The importance of AI and ML, the rise of edge computing, and the need for flexible programming in AI.
Artificial Intelligence (AI) is one of the biggest buzzwords in the technology industry today and is often thought of in broad terms to describe connected “smart” technology. However, when you think about all the different features enabled by AI and the outcomes AI solutions are designed to deliver, it becomes clear that the AI landscape and AI development is incredibly complex. The ...
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Lattice has released new versions of the Lattice mVision and Sentry solutions stacks with new capabilities to help developers quickly and easily implement embedded vision and firmware security applications.
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Read the latest consumer news from Lattice: CrossLink reference designs boost design options, CrossLink-NX: unmatched design versatility, Lattice mVision Solutions Stack accelerates embedded vision development.
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One of the most intriguing new applications of technology is giving machines the ability to see something called machine vision or embedded vision.
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I attended Embedded World in Nuremberg, Germany recently and wanted to share some thoughts about the trends and technologies that received the most attention at the show this year.
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Read the latest industrial and automotive news from Lattice: CrossLink-NX FPGA brings benefits to Lattice Nexus Platform, Radiant 2.0 adds key enhancement.
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現代のビジネスにおける真実の1つは、産業が成熟するにつれて専門的になる傾向があることです。顧客の要望は通常、時間の経過とともに極めて複雑になり、それらの要求を満たすために製品の最適化が進みます。
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エンベデッドビジョン開発者の間で、AI / ML 技術を設計に追加して、オブジェクトカウントやプレゼンス検出などのアプリケーションを実行するために必要なインテリジェンスを実装することに関心が高まっています。しかし、エンベデッドビジョンアプリケーションで AI / ML をサポートすることは、特にエンベデッドビジョンアプリケーションがますまず複雑になるため、困難な場合が
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ラティスセミコンダクター、低消費電力プログラマブルソリューションのリーディングカンパニー、は「パフォーマンスと消費電力」に関して、低消費電力、小型パッケージのFPGAが実現することができる性能の基準を設定しました。私たちは顧客サポートと要望に対するコミットメントの文化を通じて現在の位置を確立し維持しています。例えば、ラティス・ネクサス・プラットフォームの開発に着手する前に、100を超える
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