인공지능(AI)의 목표는 머신 인텔리전스의 개척을 진전시키는 것은 물론, 이것이 어떻게 실제 애플리케이션을 구동하는 엔진이 될 수 있는지 그 방안을 혁신하는 것입니다. 컴퓨팅 분야의 발전으로 업계와 학계 모두 인간의 뇌를 모방할 수 있는 고급 알고리즘과 복잡한 모델을 개발할 수 있게 되었습니다. 이 간담회에서는 AI의 대부라고도 불리는 AI 분야의 뛰어난 리더이자 선구자인 2018 ACM Turing Award 수상자 Yoshua Bengio, Geoffrey Hinton, Yann LeCun과 함께 합니다. AI 분야에 대한 이들의 기여는 현재 자연어 처리 및 메디컬 이미징부터 오토노머스 머신에 이르는 다양한 애플리케이션에서 전 세계적으로 채택되고 있는 AI 기술의 확산을 뒷받침하고 있습니다. AI가 우리 삶의 다양한 측면을 어떻게 변화시킬 수 있는지, 그리고 AI 기반의 애플리케이션이 우리 시대의 가장 시급한 문제를 해결하는 데 어떻게 도움이 될 수 있는지에 대한 그들의 관점을 제시할 것입니다.
의학, 로보틱스 및 자동화, 물류, 기타 다양한 산업과 같은 분야의 문제를 해결할 수 있는 기술을 개발하는 데 학술 연구를 사용하는 데는 엄청난 상업적 기회가 있습니다. 그러나 이러한 기회를 활용하려면 여전히 최첨단 학술 연구와 함께 하드웨어 및 소프트웨어 프레임워크에 상당한 혁신이 필요합니다. 최고의 학술 문헌 결과는 일반적으로 시장의 요구 사항과 불일치하기 때문에 제품에 직접 적용할 수 없거나, 제품이 이상적이지 않은(실제) 조건에서 해당 기능을 반복하고 안정적으로 수행할 수 없습니다. 당사 패널은 자신의 연구 기술을 사용하여 실제 사용 사례를 위한 제품을 개발하고 성공적인 기업가가 된 유명 학자들로 구성되어 있습니다. 학계 연구와 실제 제품 간의 간극을 메우고 있는 이들의 도전 과제에 대해 들어보세요. 이들의 연구를 상용 제품에 통합하는 접근 방식을 공유하고 성공적인 기업가가 되기 위한 여정에서 극복한 과제에 대해 설명합니다.
This session will introduce new features in CUDA for progra.m.ming Hopper architecture. The new progra.m.ming model for Hopper is more hierarchical and asynchronous. We'll also look at optimizing CUDA applications...
Come for an introduction to progra.m.ming the GPU by the lead architect of CUDA. CUDA's unique in being a progra.m.ming language designed and built hand-in-hand with the hardware that it runs on. Stepping up from last year's...
Learn to develop for GPU and non-GPU systems using the latest features in the C++, Fortran, and Python progra.m.ming languages. Applications written using standard progra.m.ing languages can take advantage of GPU...
Learn about the latest additions to the CUDA platform, Language and Toolkit, and what the new Hopper GPU architecture brings to CUDA. Presented by one of the architects of CUDA, this engineer-focused session covers...
NVIDIAís new Hopper GPUs contain advanced features that can unleash tremendous application performance, but they can also require some new techniques for different ways of coding your applications. Learn how to...
Universal Scene Description (USD) is more than just a file format. This open, powerful, easily extensible world composition fra.m.ework has APIs for creating, editing, querying, rendering, simulating, and...
Hear from NVIDIA's expert environmental artists and see how 30 artists built an iconic multi-world demo in three months. Dive into a workflow featuring Adobe Substance 3D Painter, Photoshop, Autodesk 3ds Max, Maya, Blender...
Light transport simulations are the industry-standard way of creating convincing photorealistic imagery and are widely used in creating animation movies, computer animations, and medical and architectural visualizations, a.m.ong...
We'll look at the cutting-edge physics-machine learning technology supported by Modulus and Omniverse and how NETL leverages it for their digital twin application to reach their zero-carbon emission target. With their...
Learn how FORTUNE 50 retailer Lowe's is digitizing the built world of home improvement. From our products to our stores to our customersí homes, Lowe's is using digital twins to create new possibilities. Whether helping...
When it comes to modern visual effects and cutting-edge virtual production, creating photorealistic digital sets and environments that can be manipulated in real time is the na.m.e of the ga.m.e. One key element in any...
Developers in startups or large enterprises are using transfer learning on pre-trained models to create AI models faster, with minimal coding, and reduced dataset requirements. Learn how to create and deploy custom, production-ready...
We'll discuss the future of robotics and how it's impacting most aspects of society, from manufacturing and logistics to domestic applications. We'll provide a perspective on societal megatrends and how they drive a number of use cases for robotics. We'll also...
Giving perception to smart spaces often requires applying vision AI to many ca.m.eras covering multiple physical regions. Whether it’s for monitoring packaged goods in a warehouse or vehicles on a street , it's critical to accurately and consistently track these...
The emergence of smart spaces has created a shockwave of demand for next-generation technology including AI, video analytics, and edge computing. The idea behind smart spaces has been to ensure the safety of community and workers, while...
The world is moving fast, and intelligent autonomous machines have been adopted across a variety of vertical industries. However, the a.m.ount of data generated by machines has exploded in volume, growing exponentially to 175 zettabytes...
We'll demonstrate workflows for reinforcement learning and synthetic data generation for AI-based robots, with exa.m.ples that highlight some of the latest robotics perception capabilities enabled by Isaac ROS.
Building Vision AI applications to detect and classify a huge number of objects or to operate in constantly changing environments is a significant challenge for any developer. The need for extensive training datasets and constant model...
Perceiving humans, such as their pose, gaze, and so on, is of great interest for many practical applications, including human-machine interaction, activity recognition, video analytics, visual effects, ga.m.ing, and any other application involving humans...
As enterprises become more data-centric, data centers are transforming into "AI factories" that produce intelligence from data. To realize the full potential of AI, enterprises need to build a full-stack computing infrastructure that's...
As more businesses look to scale AI, the importance of centralized infrastructure that can consolidate expertise and operations becomes para.m.ount. Increasingly, successful AI scalers are embracing hybrid cloud architectures that include...
NVIDIA CTO Michael Kagan reviews the ongoing changes and the latest breakthrough to the way cloud computing is architected, connected, optimized, and managed, and explains why the evolution of computing will never stand still, and why...
By 2024, itís expected that 60% of the Global 2000 will use AI across all business-critical functions, according to recent research from IDC. However, implementing AI isnít easy. In fact, according to Gartner, almost half of AI projects...
Modern applications, including AI, machine learning, and 5G, are driving massive increases in network traffic, adding significant load to the CPU, which hasn't been optimized to handle software-defined infrastructure workloads. In addition, security...
Take a deep dive into the latest develop.m.ents in NVIDIA software for HPC applications, including a comprehensive look at whatís new in progra.m.ming models, compilers, libraries, and tools. We'll cover topics...
AI and scientific workloads demand ultra-fast processing of high-resolution simulations, extreme-size datasets, and highly parallelized algorithms. As these computing requirements continue to grow, the traditional...
Quantum computing has the potential to offer giant leaps in computational capabilities, impacting a huge range of industries from drug discovery to portfolio optimization. Realizing these benefits requires pushing the boundaries...
Accelerated computing is transforming the world of AI and computational science, from the data center to the cloud and to the edge. NVIDIAís Ian Buck, vice president of hyperscale and HPC, will provide an in-depth...
Giving perception to smart spaces often requires applying vision AI to many ca.m.eras covering multiple physical regions. Whether it’s for monitoring packaged goods in a warehouse or vehicles on a street, it's critical to...
NVIDIA DeepStrea.m. is the fastest way to create and deploy vision AI applications for all NVIDIA platforms, from edge to cloud. In this session, developers of all technical levels will learn how DeepStrea.m. can help them accelerate their...
Artificial intelligence has evolved and improved methods for data analysis and complex computations, solving problems that seemed well beyond our reach only a few years ago. Today, deep learning is transforming every industry, from...
Speech AI technologies such as automatic speech recognition (ASR) and text-to-speech (TTS) automate millions of conversations today. They provide customers with a personalized human-like experience through such applications as...
Oracle Cloud Infrastructure (OCI) has been designed and built for high-performance workloads, including natural language processing. Oracle Cloud has demonstrated scaling for workloads like BERT on a few nodes to large language models...