Click belowcard, follow the “LiteAI” public account Hi, everyone, I am Lite. I recently shared the first to nineteenth articles on efficient large model full-stack technology, including large model quantization and fine-tuning, efficient inference of LLMs, quantum computing, generative AI acceleration, etc. Here is the link: Efficient Large Model Full-Stack Technology (Nineteen): Efficient Training and … Read more
Click belowcard, follow the “LiteAI” public account Hi, everyone, I am Lite. Recently, I shared the Efficient Large Model Full-Stack Technology Articles 1 to 19, which includes content on large model quantization and fine-tuning, efficient inference of LLMs, quantum computing, generative AI acceleration, etc. The content link is as follows: Efficient Large Model Full-Stack Technology … Read more
Ms. Chloe Ma, Vice President of Business Development at Arm’s IoT Division Recently, Ms. Chloe Ma, Vice President of Business Development at Arm’s IoT Division, conducted an online interview with industry media, introducing the evolution of edge artificial intelligence (AI) and Arm’s new generation Ethos-U85 AI accelerator and the new IoT reference design platform Arm … Read more
According to MEMS Consulting, looking to the future, core chips, especially MEMS sensors, will remain an indispensable part of terminal devices; however, software is equally important in delivering value to users. Bosch Sensortec believes that sensor software will become increasingly intelligent, transforming MEMS sensors into more accurate and personalized systems that can help users cope … Read more
With the explosive growth of information in modern society, more and more memory and AI computing are being used for information storage and computation. However, even with powerful cloud computing, it is challenging to fully meet the demands for data bandwidth and transmission speed. Additionally, as people’s emphasis on data privacy protection increases, edge AI … Read more
Click the “blue text” above, and select “Star this“ Key messages delivered at D1 time! The rise of edge AI is already underway, as we see AI deployed in smaller, more specialized models, particularly in the Internet of Things. This AI approach shifts processing tasks from centralized data centers to the “edge” of the network, … Read more
Every time a new industry term emerges, we media professionals face the challenge of understanding what a company aims to achieve, especially when they use these terms to fulfill their marketing goals. A recently popular term is Edge Artificial Intelligence (AI), or Edge AI. Due to the rapid development of the Internet of Things (IoT) … Read more
According to a report by Electronic Enthusiasts (by Li Wanwan), due to high computational requirements, early AI started from cloud intelligence, requiring data to be uploaded to the cloud for processing. However, in the subsequent development process, issues related to user experience and data privacy emerged. Edge AI can significantly reduce latency issues and has … Read more
Source | Qianjia Network Introduction Artificial Intelligence (AI) has been steadily present in businesses around the world for a long time. The transformative power of AI has enhanced the convenience of business operations and increased return on investment for companies. Now, Edge AI represents the next stage of technological development. So, What Is Edge AI? … Read more
According to a report from Electronic Enthusiasts (by Li Wanwan), previously, edge AI mainly involved uploading large amounts of data to the cloud for processing and analysis. In contrast, edge AI shifts the focus of data processing to local devices, leveraging the advantages of edge computing for real-time feedback and intelligent decision-making. This approach can … Read more