'NVIDIA AI Conference 2019,' which explored the application of AI in all industries and processes, has come to a close.
Published2019.07.05 11:01NVIDIA concluded the 'NVIDIA AI Conference 2019,' the largest AI event in Korea, at COEX in Gangnam-gu, Seoul, for two days from the 1st to the 2nd.
At this event, attended by approximately 3,000 people over two days including industry experts, developers, and representatives from NVIDIA, the latest AI technology trends and industry-specific use cases were introduced.
On the first day of the event, the Deep Learning Institute (DLI) was held, featuring hands-on practice with the latest GPU-based deep learning frameworks.
NVIDIA provided participants with practical learning opportunities through DLI sessions consisting of a total of six courses, covering how to build deep learning and accelerated computing applications.
On the second day, the 2nd, a conference was held to introduce the current status of the latest AI and deep learning technologies and various industry cases.
Marc Hamilton, Vice President of Solution Architecture and Engineering at NVIDIA, who served as a keynote speaker, said, “NVIDIA is committed to ensuring that everyone can benefit from AI technology,” adding, “NVIDIA is supporting more than 4,000 AI startups worldwide, including in Korea, through the Inception program.”
In addition, examples of collaboration with domestic companies based on NVIDIA GPUs were introduced, such as the partnership with LG Uplus for the domestic launch of the cloud gaming service 'GeForce Now'.
Following Vice President Hamilton's keynote speech, Shim Eun-soo, Head of the AI & Software Research Center at Samsung Electronics' Advanced Institute of Technology, took the time to introduce success stories achieved with NVIDIA technology.
In the afternoon, a session was prepared in which experts from major domestic and international AI-related companies, including not only NVIDIA but also Samsung SDS, Hyundai Motor, SKT, KT, Naver, Kakao, HPE, IBM, Dell Technologies, Inspur, Pure Storage, NetApp, and Lablup, introduced the latest AI technology trends and industry-specific use cases.
event A demo booth was set up at the venue where visitors could experience NVIDIA's latest AI technologies firsthand.
Participants were able to hear firsthand from NVIDIA’s AI experts at the booth about how actual AI platforms are implemented and ask questions, including: GauGAN, a deep learning algorithm that transforms rough sketches into realistic paintings by professional artists in real time; a demo of real-time traffic condition measurement and management for Metropolis, NVIDIA’s smart city platform; and Clara, a medical imaging deep learning platform that helps detect diseases early and aids in diagnosis and treatment.
This NVIDIA AI conference, which presented the latest technologies and trends related to AI, plans to explore and share future directions on how innovations can be realized using AI and deep learning technologies.
관련뉴스
NVIDIA's DLI will train AI experts across nine industries.
산업계 전반에서 비즈니스에 AI를 적용하고자 하는 기업들이 늘고 있다. 델 테크놀로지스가 올해 1월에 발표한 디지털 트랜스포메이션 인덱스에 따르면, AI는 아태지역 비즈니스 리더들에게 최우선 순위 과제 중의 하나다. 엔비디아는 AI 전문가 양성을 위해 다양한 노력을 기울이고 있다. 그 중 하나가 바로 딥 뉴럴 네트워크의 설계부터 훈련, 배포까지 다루는 글로벌 교육 프로그램인 딥 러닝 인스티튜트(DLI)다. 엔비디아 DLI 참가자들은 클라우드에서 GPU 가속 워크스테이션을 사용할 수 있으며, 최신 딥 러닝 프레임워크와 SDK를 통해 신경망을 최적화하고 구축하는 방법을 배울 수 있다.
2019.06.17by 이수민 기자
"The era of supercomputers capable of 100 quadrillion calculations per second has arrived." NVIDIA provides AI and HPC software stacks to Arm.
엔비디아는 올해 말까지 자사의 AI 및 HPC 소프트웨어 스택 전체를 Arm 에코시스템에 제공하는 작업을 추진한다. 해당 스택에는 엔비디아 쿠다-X AI 전체와 HPC 라이브러리, GPU 가속화 AI 프레임워크, OpenACC 지원과 프로파일러를 갖춘 PGI 컴파일러와 같은 소프트웨어 개발 툴이 포함된다. 스택 최적화 작업이 완료되면, 엔비디아는 x86, 파워 및 Arm을 비롯한 대표적인 CPU 아키텍처 전체를 가속화할 수 있게 된다.
2019.06.18by 이수민 기자
Popularizing and miniaturizing AI computing, fostering an AI ecosystem
As companies and organizations increasingly seek to apply AI to their business, interest in AI hardware is growing. With more and more entities looking to leverage AI, the foundation for it has broadened. AI projects that once seemed feasible only at the corporate and organizational level can now be pursued at the individual level. Nvidia continues to hold an unassailable reputation in the gaming sector, and the same applies in the AI field. For Nvidia, founded by Taiwan-born American Jensen Huang, Taiwan—where major customers are concentrated—holds special significance. On May 29th, while Computex Taipei 2019 was in full swing, Nvidia's Taiwan office had set up a venue where visitors could directly view and experience a diverse range of Nvidia products, from consumer products to enterprise products. At that venue, e4ds News was able to confirm the current state and future of next-generation AI products through an introduction by Kim Sun-wook, Director of Nvidia Korea.
2019.06.19by 이수민 기자
ST Microelectronics and NUS Establish Joint Research Center 'HELIX' for Edge AI
ST Microelectronics and the National University of Singapore have established the 'HELIX' joint research center aimed at implementing embedded AI in edge environments. Over a four-year period, the center will conduct research across the entire technology stack from algorithms to silicon, focusing on memory-centric architecture leveraging ST's 18nm FD-SOI technology and embedded PCM. The core objective is to implement intelligence directly in physical devices such as robots and drones while minimizing energy consumption.
2026.08.28by 배종인 기자
ams, 디지털 포토닉스로 휴머노이드 로봇 감각·소통 기능 지원
ams OSRAM이 디지털 포토닉스 기술을 활용해 휴머노이드 로봇의 감각·소통 기능을 강화하는 솔루션을 공개했다. dToF 센서, 광학식 힘 센서, 구조광 이미터 등으로 주변 환경 인식과 정밀 조작을 구현하며, EVIYOS·ALIYOS 플랫폼으로 LED 기반 비언어 소통을 지원한다. 시장조사에 따르면 휴머노이드 로봇 시장은 2025년 6억 달러에서 2035년 510억 달러로 성장할 전망이며, 로봇의 감각 능력 향상이 핵심 성장 동인으로 작용할 것으로 예상된다.
2026.08.27by 배종인 기자
