models
New techniques efficiently accelerate sparse tensors for massive AI models | MIT News
Researchers from MIT and NVIDIA have developed two techniques that accelerate the processing of sparse tensors, a type of data structure that’s used for high-performance computing tasks. The complementary techniques could result in significant improvements to the performance and energy-efficiency of systems like the massive machine-learning models that drive generative artificial intelligence. Tensors are data…
The brain may learn about the world the same way some computational models do | MIT News
To make our way through the world, our brain must develop an intuitive understanding of the physical world around us, which we then use to interpret sensory information coming into the brain. How does the brain develop that intuitive understanding? Many scientists believe that it may use a process similar to what’s known as “self-supervised…