One of the grand challenges of artificial intelligence is developing agents capable of conducting scientific research and discovering new knowledge. While frontier models have already been used to aid ...

Abstract: Developing software that is free of vulnerabilities is an ongoing challenge for developers, as their impact may not be apparent until they are exploited. Although security tools can help ...

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...

According to Krieger, the engineering process at Anthropic has moved away from traditional manual coding faster than expected. He said staff engineers now ship pull requests ranging from 2,000 to ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...