The Fall 2022 edition of Nvidia’s GPU Technology Conference (aka GTC) kicks off next week and it’s another great opportunity for anyone interested in learning how to use AI and metaverses. It’s also a chance to see Nvidia founder and CEO Jensen Huang review the latest chip and software developments in 3D graphics and an AI pioneer. GTC Fall 2022 is once again a free virtual event that runs from September 19 to 22, 2022, Huang’s keynote address begins Day Two on September 20, 2022 at 8:00 PT.
While Nvidia is still the number one player in graphics cards for PC gaming, it has been a long time since video games were the primary target market for their chips. Nvidia platforms are used in everything from medical research to financial services to industrial control to the cloud and of course, automobiles.
Nvidia engineers also do more than just design silicon. Engineers account for 80% of the company’s 25,000 employees, and more than half of them work on software. This goes beyond just drivers for codecs. In the automotive sector, Nvidia has developed a fully automated driving system that is part of its DRIVE
But whether it is automated driving or medical research, one of the key elements that connect artificial intelligence is. The horsepower provided by Nvidia chips in data centers, robotics, and cars has been a major enabler of many AI developments in the past decade. Nvidia-powered server-packed data centers transmit millions of images to train machine learning models.
The upcoming GTC will feature more than 200 sessions led by Nvidia engineers, researchers, and users of the company’s platforms from nearly every industry. A must for anyone interested in learning more about how to develop projects using Nvidia technology Register for GTC. It’s free again and the sessions will remain online after the event.
For those focusing on cars, it’s still worth checking out the entire session catalog because there are likely to be occasional sessions but it’s still very relevant. For example, Nvidia’s automated driving simulation platform, DRIVE Sim, is based on Omniverse which in turn takes advantage of technologies such as ray tracing to create realistic and physically accurate environments for testing robotic vehicles. These environments can be infinitely varied to test different lighting, weather, and road conditions as well as place different groups of other road users in the environment.
The same Omniverse platform is also used to create digital twins of factories, warehouses and entire cities. Understanding how Omniverse is used in other applications can help developers better understand how to use it in their field.
Another potential crossover includes medicine and automated driving. Research into the modeling of the human body and its responses to inputs could be of value to robotic driving developers. When people are driving around in a car without any direct control over its operation, they may be more likely to develop motion sickness. Understanding the physiological response and possibly including these models in audio-visual simulations can lead to improved control strategies that reduce the risk of motion sickness and lead to more comfortable driving.
Of course the highlight of any GTC is Jensen Huang’s keyword. This is a chance to hear the latest new announcements from Nvidia which is always an entertainment provider. The keynote will air beginning at 8am PDT on Tuesday, September 20, 2022. Register for Fall GTC 2022 here.