Community News Events

NVIDIA Developer Day AI and Quantum Computing 12/10/2023 13:00 CEST

Date: Thursday, October 12, 2023
Time: 13:00 – 18:00 CEST
Duration: 5 hours
Cost: Free

 

AI, accelerated computing and advanced visualization are increasing in relevance in many areas of our society. Academic institutions are at the forefront of nurturing the next generation in the emerging technologies of accelerated computing, data science, and AI. But they need the best tools, frameworks, and libraries in their quest for success. At NVIDIA, we love to support the community that is shaping the future and today, we’re delighted to support you as you expand your knowledge and skillset.

Whether you’re interested in the recent advancements of generative AI, quantum computing or climate science, or would like to increase your knowledge in accelerated computing, this day is for you!

Register Here

Agenda

13:00

Programming on NVIDIA GPUs

Paul Graham, Senior Solutions Architect – HER, HPC & AI
Calendar Invite >

13:45

Designing & Deploying Climate Change Defence

Alison Lowndes, Senior Scientist, Global AI, NVIDIA
Calendar Invite >

14:30
Conversational AI Demystified

Miguel Martinez, Senior Deep Learning Data Scientist, NVIDIA
Calendar Invite >

15:15
Defining the Quantum-Accelerated Supercomputer

Jin-Sung Kim, Developer Relations Manager – Quantum Computing
Calendar Invite >

16:00
Developer Training with NVIDIA Deep Learning Institute

Kevin McFall, Master Instructor, NVIDIA
Calendar Invite >

16:45
What is Next For Generative AI?

Adam Czekalowski, EMEA Senior Developer Relations Manager, Consumer Internet and Generative AI
Calendar Invite >

17:30
Latest Developments with AI-Powered Cybersecurity

Vadim Gechman, Director Networking Cyber-AI | Networking Research
Calendar Invite >

Trainers

Programming on NVIDIA GPUs
Paul Graham, Senior Solutions Architect – HER, HPC & AI
This session will look at some of the different options open to software developers who want to target GPUs. It will highlight some of the tools and technologies available for making efficient use of GPUs in both single and multi-GPU applications, as well as developer tools for performance analysis and correctness checking.
Designing & Deploying Climate Change Defence
Alison Lowndes, Senior Scientist, Global AI
This talk will explain the current state-of-the-art in weather & climate prediction for proactive vs. reactive mitigation & adaptation, particularly for extreme weather events. The audience will learn about the capabilities & challenges both down here on Earth & over 400 miles above us.
Conversational AI Demystified

Miguel Martinez, Senior Deep Learning Data Scientist

Conversational AI technologies are becoming ubiquitous, with countless products taking advantage of automatic speech recognition, natural language understanding, and speech synthesis coming to market. Thanks to new tools and technologies, developing conversational AI applications is easier than ever, enabling a much broader range of applications, such as virtual assistants, real-time transcription, and many more.
Defining the Quantum-Accelerated Supercomputer
Jin-Sung Kim, Developer Relations Manager – Quantum Computing
Quantum computing promises to solve computational problems that are intractable to the best classical methods today. While the development of quantum technologies the past several decades has been immense, further advancements in algorithms, hardware, and software are required to realize useful quantum computing. In this talk we’ll discuss the outstanding challenges in quantum computing and how GPU supercomputing enables research towards quantum advantage via high performance simulation and tightly integrated quantum-classical workloads.
Developer Training with NVIDIA Deep Learning Institute
Kevin McFall, Master Instructor
Learn how training with NVIDIA’s Deep Learning Institute (DLI) can expand skills within topics of deep learning, accelerated computing, data science, and simulation. Special DLI Educator Programs make content available to higher education for free. In this session start learning the basics of writing massively parallel CUDA kernels to run on NVIDIA GPUs.
What is Next For Generative AI?
Adam Czekalowski, EMEA Senior Developer Relations Manager – Consumer Internet and Generative AI
Generative models are accelerating the development of applications for many use cases, including question-answering, summarizing, textual entailment, and generating 2D and 3D images and audio, among others. In this talk we will provide an overview of the major developments in generative AI, where it currently stands, and what it could be capable of in the coming years.
Latest Developments with AI-Powered Cybersecurity
Vadim Gechman – Director Networking Cyber-AI | Networking Research NVIDIA

Building cybersecurity solutions that take advantage of data science techniques and address cybersecurity from a data-first lens is difficult.

Now developers can take advantage of the AI and data science tools and frameworks, pre-trained models, and infrastructure optimization software provided with NVIDIA Morpheus to tackle cybersecurity challenges in new ways.

Learn about the latest innovations available with NVIDIA Morpheus and find out how today’s security analysts are using Morpheus in their everyday investigations and workflows.

Skip to content