Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...
Georgia Tech researchers Vidya Muthukumar and Eva Dyer are leading a multi-institutional project to develop a theory for data augmentation, aiming to improve the generalization and fairness of AI ...
The Data Reduction for Science program seeks applications to explore potentially high-impact approaches in the development and use of data reduction techniques and algorithms to facilitate more ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are one of the ...
A novel approach combining deep learning and fluorescence spectroscopy promises real-time food safety checks, enhancing ...
A slew of innovations in data management tooling, data infrastructure and artificial intelligence dotted the landscape at AWS re:Invent 2024. Siemens Digital Industries Software, in particular, has ...