In the past, the whole process of making professional videos out of still images was very costly and involved a lot of editing skills, taking hours manually, an ...

The ReWiND method, which consists of three phases: learning a reward function, pre-training, and using the reward function ...

Securing funding is a big part of any startup’s journey, and each funding round usually means a company needs to change how ...

Self-organizing maps, and the machine learning protocol involved in creating them, have been in use since the 1980s, Lawrence ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

Collisions between marine vessels and stationary structures, like offshore oil platforms and depleted wellheads, are becoming ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...