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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...

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 ...

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%...

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。

新しい技術が大衆向けの低消費電力IoTアプリケーションへの機械学習の導入を加速します

侵入者とあなたの近所の犬を見分けられる個人のセキュリティシステムや、部屋をスキャンして誰もいないときは自動的に電源を消すスマートTV、法医学的な分析や犯罪が起こる前に怪しい行動を見極められるカメラを想像してください。エッジにおける人工ニューラルネットワーク向けのアプリケーションは無限にあります。アイディアを考えるのは簡単ですが、実際に実装するのは容易なことではありません。