DeepBrain AI is a company creating AI Human that resemble humans based on artificial intelligence. Drawing human faces and studying natural gestures and expressions takes up a lot of computing resources. The Google Cloud platform has secured GPU resources around the world by region and allowed AI Models to run smoothly and reliably.
Benefits of Google Cloud
- Offers affordable and massive GPU resources through Spot Virtual Machines.
- Instant service delivery with AI-related APIs on Google Cloud Platform
- Opportunities to try different businesses with instant computing resources
If you think of artificial intelligence technology closest to us, you would think of the artificial intelligence assistant found in our smartphones or home appliances. It’s all about understanding people’s words, collecting the necessary information, understanding their intention, and giving back the right answers. Perhaps the most basic image that we have of AI is the creation of something that resembles another person in a computer.
DeepBrain AI is a company that creates virtual humans based on artificial intelligence technology. The person on the screen created by DeepBrain AI becomes an announcer who delivers news 24/7 and a YouTube creator who communicates with viewers in real time. Sometimes we imitate people who are familiar to us.
Drawing people in computers has been the longest task of any computer graphics, and it’s a historical technology that’s widely used for games and movies. However, DeepBrain AI’s virtual humans are characterized by naturally creating facial expressions and lip synchronization when speaking beyond just imitating a person’s face. This is possible thanks to the power of artificial intelligence technology as it understands human faces beyond simple graphics technology and creates new facial expressions based on them.
“Learning in a given amount of time and synthesizing individual messages into images required enormous computing resources. The Google Cloud platform has reliably delivered dozens of GPUs, bringing huge amounts of content to a high level of output in the face of urgency.”
