Perceptron: AI that sees with sound, learns to walk and predicts seismic physics
Turning our attention to MIT’s work, research scientists there developed a machine learning model that can capture how sounds in a room will propagate through the space. By modeling the acoustics, the system can learn a room’s geometry from sound recordings, which can then be used to build visual renderings of a room. ...
At Berkeley’s robotics department, two separate teams are accelerating the rate at which a quadrupedal robot can learn to walk and do other tricks. ...
Work with a potentially more immediate application came earlier this month out of Los Alamos National Laboratory, where researchers developed a machine learning technique to predict the friction that occurs during earthquakes — providing a way to forecast earthquakes. Using a language model, the team says that they were able to analyze the statistical features of seismic signals emitted from a fault in a laboratory earthquake machine to project the timing of a next quake.
“The model is not constrained with physics, but it predicts the physics, the actual behavior of the system,” said Chris Johnson, one of the research leads on the project. ...
Last this week is a note of caution from MIT researchers, who warn that neural networks being used to simulate actual neural networks should be carefully examined for training bias. ...In fact, the MIT team found, neural network-based simulations of grid cells (part of the nervous system) only produced similar activity when they were carefully constrained to do so by their creators. If allowed to govern themselves, the way the actual cells do, they didn’t produce the desired behavior. ...
See the full article here: https://techcrunch.com/2022/11/07/perceptron-ai-that-sees-with-sound-learns-to-walk-and-predicts-seismic-physics/
