In the realm of probabilistic programming, the challenge often faced by developers is efficiently composing and performing inference on complex probabilistic programs. A tool known as Coix (COmbinators In jaX) has been introduced to help. As a flexible and backend-agnostic solution, it offers an all-encompassing set of program transformations, known as inference combinators. These combinators…
The integration of robotics into automatic assembly procedures is highly valuable but has met with issues adapting to high-mix, low-volume manufacturing. Robotic learning which enables robots to acquire assembly skills through demonstrations, not scripted processes, offers a potential resolution to this problem. However, teaching robots to perform assembly tasks from raw sensor data presents a…
Researchers at Massachusetts Institute of Technology (MIT) are seeking to leverage deep learning technology to provide a more detailed and accurate understanding of Earth's planetary boundary layer (PBL). The definition and structure of the PBL are pivotal to improving weather forecasting, climate projections, and issues such as drought conditions.
The PBL is the lowest part of…