Relating to Artificial Intelligence, NVIDIA has demonstrated a robot, that learns and completes tasks just by observing real-world demonstrations. They claim this development to be ‘first of its kind’. A team led by Stan Birchfield and Jonathan Tremblay has demonstrated about a system of synthetically trained neural networks that contained in a human-readable program for Human-Readable plans from real-world demonstrations to perform tasks associated with perception, program generation and program execution using a graphics card. For perception, they used image-centric domain randomization leveraging convolutional pose machines, which can be applied to any camera without any assumptions about camera pose. For program generation and execution, they used fully connected networks which are simple but efficient. And this work drew inspiration from ‘one shot imitation learning’, which is commonly applied in different tasks, in isolation. In their research paper, they state: “For robots to perform useful tasks in real-world settings, it must be easy to communicate the task to the robot; this includes both the desired result and any hints as to the best means to achieve that result. With demonstrations, a user can communicate a task to the robot and provide clues as to how to best perform the task.”
Powered By TITAN X
NVIDIA AI robot is powered by the firm’s own TITAN X graphics card, using which programme generation and execution are done. The TITAN X graphics card is powered by PASCAL to achieve more performance than those of previous graphics cards. The features of this graphics card are that it uses 3584 NVIDIA cores running at 1.5 GHz for a total performance of around 11 TFLOPS. These result in high performance in gaming technologies and breakthrough VR experiences.
