A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.

A new study in Small introduces OptiMate, a machine learning model that predicts optical properties and identifies ...

Machine learning and artificial intelligence are fundamentally dependent on databases. These databases serve the vital role of storing, organizing, and pulling up necessary data to develop and ...

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

Are you wondering what’s next? To many, the future of technology lies squarely with machine learning and with artificial intelligence, known as AI. Artificial intelligence refers to technologies that ...

This week is "Week of the Young Child," an annual initiative that highlights how early learning shapes children's development. Bethlehem Mayor J. William Reynolds visited the Reibman Hall Children ...

This paper introduces two new statistical shape models (SSMs) that combine radial shape parameterization with machine learning techniques from the field of nonlinear time series analysis. We then ...

The prediction of long-term outcomes in ischemic stroke patients may be useful in treatment decisions. Machine learning techniques are being increasingly adapted for use in the medical field because ...

The hierarchical nature of problem formulation allows us to employ the class conditioned auto-encoders to construct a hierarchical ... we add a benign clustering module for learning the multimodal ...

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose of this project is not to produce as optimized and computationally efficient ...