Humans make tens of thousands of decisions every day. Project Azua aims to develop machine learning solutions for efficient decision making that demonstrate human expert-level performance across all ...

An intensive, fast-paced summer school for predoctoral students to build mathematical intuitions and skills necessary to enter the fields of theoretical neuroscience and foundational machine learning ...

Raj (Project Manager): Amit, the client just sent over their requirements for the customer service workflow. They need cases to be routed to different teams based on the case’s priority and complexity ...

Named entity recognition aims to identify entities from unstructured text and is an important subtask for natural language processing and building knowledge graphs. Most of the existing entity ...

Machine learning and artificial intelligence (AI/ML) methods are beginning to have significant impact in chemistry and condensed matter physics. For example, deep learning methods have demonstrated ...

Here we employ and adapt the image-to-image translation concept based on conditional generative adversarial networks (cGAN) for learning a forward and an inverse solution operator of partial ...

Translating satellite imagery into maps requires intensive effort and time, especially leading to inaccurate maps of the affected regions during disaster and conflict. The combination of availability ...