We consider the problem of recovering off-the-grid spikes from linear measurements in the context of Single Molecule Localization Microscopy (SMLM). State of the art model-based methods such as ...

Describing artificial intelligence as having neural networks and understanding language has implications for how we understand both AI and the human brain.

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple.

In this assignment you need to implement a feedforward neural network and write the backpropagation code for training the network. We strongly recommend using numpy for all matrix/vector operations.

CCMSI reduces workers’ compensation claims costs by 10%, translating to more than $300 million in savings for clients since implementing Gradient AI.

AmFed adopts Gradient AI to streamline underwriting for workers’ comp insurance including to better predict risk, improve pricing accuracy.

Learn how to create lifelike AI avatar videos with diffusion models, fine-tuning techniques, and optimized training configurations.