ラティスブログ

AI is evolving at a rapid pace not just from continued technology advancements, but also by various industries’ demands and requirements. With the surge of Large Language Models (LLMs) and Generative AI, the industry is grappling with the intense compute capabilities these cloud-based AI applications require to process big data, as well as train and deploy advanced AI models. Now, the industry is seeing AI being implemented into client devices including PCs and smartphones, and Edge applic...

In today’s data-driven world, artificial intelligence (AI), machine learning (ML), and digital twin technologies are transforming industries, revolutionizing processes, and reshaping enterprise business environments. With more than 328 million terabytes of data created each day, it has become the new “oil” – providing the energy needed to fuel next generation digital systems. However, the effectiveness and reliability of these technologies heavily depends on the quality ...

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...

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 has required engineers to come up with flexible design models as they transition from the cloud to the edge. The trend is driven by advances in ultra-low latency, security, bandwidth limitations, and privacy. Lattice FPGAs and software solutions help enable acceleration of future models with exist...

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...

Lattice CertusPro-NX FPGAs outperform similar devices in data processing performance, system bandwidth, memory density, and support for small form factors.

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。

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

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

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。