The integration of neuromorphic computing and deep learning is revolutionizing computational neuroscience, offering new methods for interpreting complex ...

Knowing a little more about how biological vision works can help students to recognize what’s behind the arc of computer ...

Turing's 1950 paper didn't just pose the profound question, "Can machines think?". It ignited a quest to build AI technology ...

This project leverages deep learning to identify crop diseases from images. Built with TensorFlow, the app allows users to upload crop images and predicts the disease. It features a user-friendly ...

Yann LeCun, born on July 8 ... His work, particularly in the development of convolutional neural networks (CNNs), has been instrumental in advancing deep learning technologies that underpin ...

Yann LeCun, the chief AI scientist at Mark Zuckerberg’s Meta, said new breakthroughs are needed in order for the systems to understand and interact with the physical world. LeCun spoke as one of seven ...

Yoshua Bengio, Geoffrey Hinton, John Hopfield, and Yann LeCun have been instrumental in championing artificial neural networks, which are now the dominant model for machine learning. Their research ...

New York University’s Yann LeCun has been selected as a winner ... cited by the foundation for “championing artificial neural networks, which are now the dominant model for machine learning.

We present a novel software feature for the BrainScaleS-2 accelerated neuromorphic platform that facilitates the partitioned emulation of large-scale spiking neural networks ... The MNIST (LeCun et al ...

These are the kinds of questions that we have to grapple with.” On the second evening, Yann LeCun, the chief A.I. scientist at Meta, gave a keynote lecture titled “Mathematical Obstacles on ...