Cloud infrastructure plays a pivotal role in the evolution and fruition of AI in today's technology landscape. However, managing this infrastructure and integrating it into the work process can present significant challenges. Deployment pipelines are complex to establish and coordinating cloud settings with application code is often cumbersome. To automate DevOps, many companies develop their…
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…
Language models (LMs) such as BERT or GPT-2 are faced with challenges in self-supervised learning due to a phenomenon referred to as representation degeneration. These models work by training neural networks using token sequences to generate contextual representations, with a language modeling head, often a linear layer with variable parameters, producing next-token distributions of probability.…
Vector databases, which handle multidimensional data points, have gained significant attention due to their utility in machine learning, image processing, and similarity search applications. This article delves into a comparison of 14 vector databases, assessing their advantages, disadvantages, and unique features.
Faiss, a creation of Facebook AI, excels with efficient, high-performance similarity searching and dense vector…