Training computers to act more like humans is among the most exciting frontiers in science.
Identifying a face in a crowd of thousands. Self-driving cars. Processing massive amounts of complex, interconnected data. It’s about teaching machines to “think” and act like we do.
GPUs are unlocking new advances in each area, through computer vision, machine learning, and artificial intelligence.
Here’s a taste of what you can see at the GPU Technology Conference, on March 23-27, at the San Jose Convention Center, here in Silicon Valley:
- Facebook takes on AI – Learn from Facebook’s new AI Lab research scientist, Rob Fergus, about how the world’s largest social media site is using GPUs to help build advanced computer vision and object recognition capabilities.
- Accident-avoiding Cars – Engineers from Denso IT Labs will show how Tegra processors are making cars safer, by helping to manage advanced emergency braking systems that can detect pedestrians and other objects, automatically braking just before a collision is unavoidable.
- Gesture-controlled TV – Gideon Shmuel, CEO of eyesight Technologies, will discuss GPU-powered advances in controlling set-top boxes and other digital devices through gesture recognition, making the remote a thing of the past.
- Robotic Flying Vehicles – Georgia Tech’s Jonathan Rogers will share his work developing parafoils that can navigate themselves to a target landing site even under perilous conditions.
- Speech Recognition – Stanford University’s Adam Coates will explain how a massive, 10 billion parameter neural networks in the “basement” could lead to ground-breaking advancements in computer vision, speech recognition and natural language processing.