Deep Learning - year 16 quarter 1
Chris Macrae MA DAMTP Cantab
Intelligence is our only way of celebrating millennials sustainability ai20s.com unsummitfuture.com
Sourced from Nvidia's 16yh year of Deep Learning, quarter 1 (since GTC 2024 march)
June 2024
Jensen Huang, Founder and CEO, NVIDIA
Watch NVIDIA founder and CEO Jensen Huang deliver a live keynote address ahead of COMPUTEX 2024 on June 2 at 7 p.m. in Taipei, Taiwan, outlining what’s next for the AI ecosystem.
Rough Industry Profile Academia / Education (2) Automotive / Transportation (5) Financial Services (4) Gaming (3) Healthcare & Life Sciences (2) HPC / Scientific Computing (2) Manufacturing (1) Other (12) Retail / Consumer Packaged Goods (3) Smart Cities / Spaces (1)
55 second feel of why its a good idea that robots *before they join humans as mobile autonomous beings) have practice space omniverse and the first type of digital twin invested in is one of the great strategy moves of serious ai players -please tell me if you can improve short review [email protected]
Nvidia Review
Develop OpenUSD-based applications with NVIDIA Omniverse?.The Omniverse platform provides developers with the building blocks—developer tools, APIs and microservices—to bridge data silos, integrate NVIDIA AI and RTX technologies, and build highly accurate, AI-enabled virtual worlds and the tools that make these worlds …Learn more: https://nvda.ws/3LKQ0ry
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July 2024
@NVIDIAOmniverse is a platform of APIs, SDKs, and services that enable developers to easily integrate Universal Scene Description (OpenUSD) and RTX rendering technologies into existing software tools and simulation workflows for building AI systems. Based on OpenUSD, Omniverse-powered applications fundamentally transform…
Notes : New Coding -Can you imagine anything more different from coding 20th c central processor machines than 2016inward open sourcing PIxar's language USD. dcbestAI.docx Congrats to Bloomberg JohnsHopkins for medic schools 2024 commencement scoop delivered by founders of both Nvidia and Pixar.
Back in Scotland 1760m artificial meant learning to be an engineer. When friends of Fei-Fei Li talk about training machines to vision, perhaps its a 2-way street :play above video and intro your brain to seeing design of 21st C factories, autonomous devices and all kinds of co-creative infrastructures
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July 2024
See how Foretellix leverages #NVIDIAOmniverse Cloud APIs to generate high-fidelity sensor simulations for #autonomousvehicle development.??Learn more: https://blogs.nvidia.com/blog/omniver...?#ai #GTC24
Wow good to see how much careful AI work is done in digital twins before letting autonomous engines hit the streets
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July 2024
Louis Stewart, Head of Strategic Initiatives, Developer Ecosystem, NVIDIA
Lauren Silveira, University Recruiting Program Manager, NVIDIA
Sabrina Koumoin, Sr. Software Engineer, NVIDIA
Kevin McFall, Principal Instructor, NVIDIA
Sabrina Koumoin, Engineer, Department of Marketing Operations, NVIDIA
David Ajoku, Founder and CEO, Demystifyd and Aware.AI
Join us for a panel discussion on fostering career growth and learning in the fields of AI and other advanced technologies. Our panelists will share their unique career journeys, valuable insights, and tips and tricks for success.Discover how certifications and additional learning resources have played a pivotal role in shaping the …
Do you see yourself as a lifelong learner?
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June 2024
Neal Vaidya, Technical Marketing Engineer, NVIDIA
Bethann Noble, Product Marketing Manager, NVIDIA
As organizations transition from generative AI experiments to deploying and scaling generative AI applications in production, the focus on production model deployment for inference – where AI delivers results – is growing. Join us for an engaging webinar where we'll explore real-world case studies and uncover best practices supporting …
June 2024
This video provides a step-by-step walkthrough for the quick deployment of the NVIDIA Metropolis multi-camera tracking workflow on AWS.?Learn more about Metropolis reference workflow for multi-camera tracking.?Learn more about quick start on AWS??
June 2024
This video provides a step-by-step walkthrough on setting up Isaac Sim for synthetic data generation. Visit the page for more get started resources.?
June 2024
Ravi P. Sinha, Co-Chair nGRG, O-RAN Alliance
The O-RAN — Open Radio Access Network — Alliance's mission is to transform the RAN industry towards truly open, intelligent, virtualized and fully interoperable RAN. In this talk, explore the strategic roadmap of it's next Generation Research Group (nGRG), which was started two years ago, through a conversation between Ravi P …
June 2024
Ram Cherukuri, Senior Product Manager, NVIDIA
George Karniadakis, Brown University
Kaustubh Tangsali, Software Engineer, Modulus, NVIDIA
Discover the power of physics-ML in modeling real-world systems, and explore its application in education.
June 2024
Marc Hamilton, Vice President of Solutions Architecture & Engineering, NVIDIA
Watch NVIDIA's Marc Hamilton deliver a live talk during COMPUTEX 2024 Forum on June 4 in Taipei, Taiwan. Marc shares how NVIDIA can help you get started with Gen AI at any scale.
June 2024
Jensen Huang, Founder and CEO, NVIDIA
Watch NVIDIA founder and CEO Jensen Huang deliver a live keynote address ahead of COMPUTEX 2024 on June 2 at 7 p.m. in Taipei, Taiwan, outlining what’s next for the AI ecosystem.
May 2024
Jinho Lee, NVIDIA
Jonghwan Lee, NVIDIA
Ku Hyung Chung, NVIDIA
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May 2024
Charlie Boyle, VP and GM DGX Systems, NVIDIA
一方、その実現を支える AI インフラの設計や運用の難しさにも直面し、対応に苦慮している状況です。2024年はあらゆる企業が、生成 AI よる新たなビジネス創出に向け、その原動力となるプラットフォームをどのように構築し活用していくかの転換点になる年になるでしょう。
May 2024
Edge-to-cloud video streaming using the webRTC is a real-time, low latency method for sharing video streams from edge devices to cloud services. Watch this tutorial to learn how to set up edge streaming of webRTC to multi-camera tracking workflow. Get started with NVIDIA Metropolis microservices
May 2024
Explore the seamless development of a cloud-native AI application for multi-camera tracking. Beginning with a simulated retail store in Isaac Sim, our system uses synthetic data to train detection and re-identification models. It integrates Metropolis microservices for real-time analysis of people's movements across multiple cameras, …
May 2024
This video provides a brief introduction to QBE (Query By Example) functionality, followed by a detailed walkthrough demonstrating the QBE workflow in the user interface. Get started with NVIDIA Metropolis microservices.
May 2024
Watch this video tutorial to learn how to install multi-camera tracking microservices in Microsoft Azure Cloud using a one-click script. Get Started with NVIDIA Metropolis microservices.
May 2024
This video provides a step-by-step walkthough on running NVIDIA Metropolis microservices using Docker Compose. Get started with NVIDIA Metropolis microservices.
May 2024
Watch this video tutorial to learn how to use Jupyter notebook and integrate APIs with multi-camera tracking application. Get started with NVIDIA Metropolis microservices.
May 2024
This video provides a step-by-step walkthrough on creating a calibration file for multi-camera tracking using the camera calibration toolkit in Metropolis microservices. Get started with NVIDIA Metropolis microservices.
May 2024
This video provides a step-by-step walkthrough on adding new camera streams into multi-camera tracking application. Get started with NVIDIA Metropolis microservices.
May 2024
This video provides a step-by-step walkthrough on customizing multi-camera tracking application by using your own model. Get started with NVIDIA Metropolis microservices.
May 2024
James Clohessy, Sr. Solutions Architect, NVIDIA
Discover how NVIDIA enables retailers to explore, experiment, and experience generative AI in a seamless and user-friendly environment through https://ai.nvidia.com. Learn more about NVIDIA technology and how AI can revolutionize your enterprise. For more information, visit https://www.nvidia.com/en-us/industries/retail/
May 2024
Dora Li, Senior Solutions Architect, NVIDIA
Delve into the groundbreaking innovations of multi-modal generative AI and discover how NVIDIA technology can be applied to revolutionize retail, from marketing to product design and collaboration. For more information, visit https://www.nvidia.com/en-us/industries/retail/
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May 2024
Ward Eldred, Solution Architect Manager, NVIDIA
Discover how LLMs (Large Language Models) can revolutionize the shopping experience by providing unprecedented personalized recommendations and insights, elevating retail to new heights. Learn more about NVIDIA’s shopping advisor. For more information, visit https://www.nvidia.com/en-us/industries/retail/
April 2024
The demo showcases the output video generated by the pipeline incorporating components of PeopleNet pretrained models, hybrid clustering, and DeepStream SDK tracker NvDCF.??For more information, please refer to DeepStream SDK documentation
April 2024
The demo shows a side-by-side comparison of TrafficCamNet with different trackers on a challenging scene with lots of occlusions. From the top-left corner in the clockwise direction are detection only, NvSORT, NvDeepSORT, and NvDCF results. NvDCF has the highest tracking accuracy and robustness to occlusion.??For more information, …
April 2024
Le An, Senior Deep Learning Software Engineer – Autonomous Vehicles, NVIDIA
Yuchao Jin, Senior Software Engineer, NVIDIA
Multi-task models play a pivotal role in autonomous vehicle development by enabling developers to perform multiple critical functions simultaneously. These models, with multi-task heads generating application-specific outputs, require careful deployment to maximize compute resource efficiency.In this webinar, we demonstrate …
March 2024
Michael Boone, NVIDIA
Renee Yao, Global Healthcare AI Startups, NVIDIA
Live from GTC captures industry leaders, passionate users, and innovators as they share invaluable insights that are helping to redefine the future landscape of AI and beyond.
March 2024
Kevin Cochrane, Chief Marketing Officer, Vultr
Inference is the new web app. In 2024, enterprises will begin to re-envision employee- and customer-facing web apps to power them with new generative AI services.
March 2024
Stephen Jones (SW), CUDA Architect, NVIDIA
Join one of CUDA's architects in a deep dive into how to map an application onto a massively parallel machine, covering a range of different techniques aimed at getting the most out of the GPU. We'll cover principles of parallel program design and connect them to details of GPU programming to see how everything works together. This …
March 2024
Armand Raudin, SNCF
William Eldin, Chief Executive Officer, XXII
Paris expects around 5 million tourists during the 2024 Summer Olympics. To prepare for this influx, the city’s main concerns are safety and efficiency of reliable transportation within the city, including transportation to the Olympic Stadiums.
March 2024
Arthur Mensch, Chief Executive Officer, Mistral AI
In this keynote, we'll reflect on the scientific lessons we learned while training our first models (Mistral and Mixtral) and give a glimpse of what's ahead for 2024.
March 2024
Bill Dally, Chief Scientist and Senior Vice President of Research, NVIDIA
Eric Chan, Ph.D. Student, Stanford
Katie Luo, Ph.D. Student, Cornell University
Rohan Yadav, Ph.D., Stanford
Zongyi Li, Graduate Student, Caltech
Yicheng Zhu, Ph.D. Student, University of California, Berkeley
We'll also announce the 2024-25 Graduate Fellows at this session. For more information on the NVIDIA Graduate Fellowship program, visit www.nvidia.com/en-us/research/graduate-fellowships
March 2024
Stephen Jones (SW), CUDA Architect, NVIDIA
The CUDA platform is the foundation of the GPU computing ecosystem. Every application and framework that uses the GPU does so through CUDA's libraries, compilers, runtimes and language — which means CUDA is growing as fast as its ecosystem is evolving. At this engineering-focused talk, you'll learn from one of the architects of CUDA …
March 2024
Charlie Boyle, Vice President, DGX Systems, NVIDIA
William Mayo, Senior Vice President for Research IT, Bristol Myers Squibb
In 2024, more enterprises than ever need AI infrastructure to tackle models of unprecedented size and complexity, but are inhibited by the challenge of designing and operating it.
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Data Science in 21st C accelerated computing world
March 2024
Dante Gama Dessavre, Machine Learning Engineering Manager, NVIDIA
Nick Becker, Senior Technical Product Manager, NVIDIA
In 2024, RAPIDS now enables data scientists to access GPU-acceleration while still using their favorite tools for dataframes, machine learning, graph analytics, vector databases, and even LLM-based workflows.
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June 2024
Kimberly Powell, General Manager and Vice President, Healthcare and Life Sciences, NVIDIA
Generative AI and accelerated computing are making healthcare one of the largest technology industries. From digital biology and drug discovery, to robotic surgery and digital health, AI is helping to advance bio-medical research, develop new medicines, and improve access to patient-centric care. Join Kimberly Powell, NVIDIA’s Vice …