Posted 09/18/2025 by Hussein Osman, Segment Marketing Director, Lattice Semiconductor; Ricardo Shiroma, Director of Business Development, Lattice Semiconductor
Human-machine interfaces (HMIs) are rapidly evolving, driven by trends such as Automotive personalization, sustainable always-on interfaces, hygienic touchless user interfaces (UI), consistent user experience (UX) across platforms, voice activation, and Industrial automation for labor and safety needs. Regardless of their specific drivers and/or use cases, modern HMIs must be smarter and more dynamic – shifting from command-based to context-aware systems that bridge the human-machine...
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Edge AI is reshaping how machines interact with the world, bringing intelligence closer to the data source and enabling real-time, context-aware decision-making. In Automotive and Industrial environments, this shift is driving smarter sensors, automation, and enhanced Human-Machine Interfaces (HMI). But deploying AI at the edge comes with constraints: limited computing capacity, strict power budgets, and compact hardware footprints.
In our latest LinkedIn Live panel discussion, Lattice expert...
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In the past, Human Machine Interface (HMI) were relatively simple, consisting of buttons, knobs, levers, and static displays designed to control basic functions. Today, HMIs have evolved into sophisticated, context-aware systems that serve as the primary bridge between users and increasingly intelligent machines. Whether embedded in vehicles, Industrial equipment, consumer electronics, or smart infrastructure, modern HMIs must manage a growing array of tasks. These include real-time data vi...
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Edge AI — implementing AI models on Edge devices to process algorithms locally rather than in a centralized computing location, like the cloud — has garnered significant attention as one of the fastest developing areas of artificial intelligence. Calculated at roughly $21 billion USD in 2024, the Edge AI market is expected to reach over $143 billion by 2034. This signals a sustained focus across industries on the development of AI-powered Edge systems.
New opportunities for Edge AI ...
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Posted 08/18/2022 by Matt Dobrodziej, Vice President of Segment Marketing and Business Development, Lattice Semiconductor
Every year, PC manufacturers introduce an array of new laptops packed with the latest technologies and features, all designed to deliver great user experiences. Historically, these came in the form of form factor innovations, screen enhancements, and user interface improvements. However, the growing popularity of AI (artificial intelligence) and ML (machine learning) has opened a new world of possibilities and PC manufacturers and ecosystem giants are all looking for ways to add these advance ne...
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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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The global smart toy market is projected to grow to nearly $70 billion by 2026, per Transparency Market Research. Smart toys take a variety of shapes, like electronic pets, robots, smart train kits, and more. When you hear the word toy, you likely automatically think these are for kids, however some are developed specifically targeting older generations. The current senior toy marketplace contains products that range in utility from providing companionship to increasing cognitive skills to facil...
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One of the most exciting topics in the tech world is Artificial Intelligence, or AI. From its science-fiction like promise of intelligent machines to its more practical implementations as additional smarts in connected devices, AI is one of the most powerful technologies now available.
But, as the well-known Peter Parker principle dictates, “With great power comes great responsibility” and so it is with AI. Companies building AI-enabled products and services, in particular, have star...
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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 new capabilities and experiences. According to industry analyst firm ABI Research, the Edge AI chipset market “has experienced strong growth in the past and is expected to continue to grow to US$71 billion by 2024, with a CAGR of 31%...
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The Lattice sensAI solution stack for always-on Edge AI applications is available on the Lattice CrossLink-NX family of FPGAs to enable fast and easy development of low power, smart visions systems for the industrial, automotive, and IoT markets.
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Linley プロセッサカンファレンス (秋季) で、ラティスは次世代スマートデバイスを超低消費電力で実現する、sensAI™ ソリューションの最新の情報を紹介しました。
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最新のコンシューマ機器向けニュースをご確認ください : sensAIのアップデートでさらに高性能で低消費電力のエッジ・アプリケーションを実現、無料ウェブセミナーを開催 - はじめよう!超低消費電力エッジAI 、CrossLink FPGAでエンベデッドビジョンシステムの開発を簡素化
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ラティスより、産業機器・車載機器関連の最新のニュースをお届けします:sensAI、最新アップデートが 10 倍のパフォーマンスを提供 / スマートアプリケーションにAIを組み込む / CrossLink FPGAでエンベデッドビジョンシステム開発を簡単に / sensAIがMicrosoft Hackathon 2019をサポート
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ラティスセミコンダクターは、2019年に開催された Microsoft社内の大規模なハッカソンイベントの一部、Microsoft Sensors Hack のスポンサーになりました。Microsoft のメンバーはスマートビジョンシステム開発用の Lattice sensAI ソリューションを活用して AI およびセンサーの活用方法を開発しました。
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オールウェイズ・オンのエッジAIシステムの開発をご検討の際にはホワイトペーパーの最後に記載されているラティスsensAIソリューションの使用例をぜひご確認ください。
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ラティスからの最新コンスーマ向けニュース: ラティス sensAI さらなる高性能をエッジアプリケーションへ、RadiantのIPとリファレンスデザイン、Embedded Vision Summitからの最新のビデオデモンストレーション、sensAI の受賞歴と記者からのコメント
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もし Embedded Vision Summit 2019 に訪れることがきなかったのであれば、ここでラティスの最新 sensAI のデモとエッジ・アプリケーションで実現可能なスマートビジョンをチェックしてください!
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どれだけ頻繁に、低消費電力が成功を左右する要因となるでしょうか?オールウェイズオンのエッジデバイスでAI推論向けのソリューションを設計するときは必ず、消費電力はミリワットで計測できる必要があります。考えてみてください。エッジのAIが近い将来、すべての場所で現実世界の問題を解決します。
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Siri、アレクサ、Google Homeや似た製品がほとんどの家で使われる日もそう遠くはないでしょう。すでにその3つ全てを活用している人も多くいます。日々追加される自宅のリビングへの高精度なAIの普及は、想像し、概念化され、革新し、実験する人間の姿をよく表しています。
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ここ数十年間で、システム設計は1つの処理トポロジからその他のトポロジ、集中型から分散型アーキテクチャへと進化し、常に理想のソリューションを探し求めています。
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