Edge AI Platform DLAP-211-JNX

● The new portal enhances the remote management capabilities of ADLINK's deep learning acceleration platform, the "DLAP-211 series." ● Real-time system information and timely alerts enable immediate response from remote locations. ● Monitoring, alerts, and updates are enhanced by Allxon Device Management Solutions (Allxon DMS).

Artificial Intelligence (AI) heralds the arrival of a new era in computing, enabling greater innovation, productivity, and cost reduction. For edge applications where time and safety are critical, such as medical imaging and industrial-grade intelligent video analysis, edge AI solutions can better meet the stringent response times than cloud AI. By attending ADLINK's on-demand session at the NVIDIA GPU Technology Conference (GTC) held online from April 12 (Monday) to April 16 (Friday), 2021, you can learn how to accelerate edge AI development. - You will learn how edge AI is advancing medical and industrial applications. - You will gain insights into overcoming the challenges of edge AI. - You will hear about AI models and tools for video analysis. *Please note that ADLINK's session will be in English.

On March 11th (Thursday) from 3 PM to 5 PM, our company’s West Japan Branch Manager, Kazuhiko Oguchi, will be speaking at the webinar titled "Accelerating the Social Implementation of Medical AI - Proposals for Diversifying Medical Device Solutions," hosted by NVIDIA Corporation. In recent years, the movement to utilize AI (artificial intelligence) and deep learning in the medical field has accelerated, and medical devices equipped with AI have begun to appear on the market. Recently, as part of measures against the COVID-19 pandemic, the development of diagnostic support programs using medical imaging AI has been initiated, and research and development of AI-enabled medical devices are increasingly accelerating, raising great expectations for the advancement of medical technology. We believe that it is important to utilize the latest technologies such as AI to enhance the added value of medical device products and to ensure the quality, safety, and security of healthcare. In this seminar, after an explanation of the current status and future of medical AI and AI diagnostic support (AI-CAD) by Professor Hiroshi Fujita, a leading researcher in medical imaging AI and AI-CAD from Gifu University, we will introduce useful information and the latest updates from ADLINK Japan, Rishiyo Electric Co., Ltd., and NVIDIA Corporation on implementing AI in medical devices.