no code implementations • 18 Jul 2022 • Samantha E. Miller Noever, David Noever
Like previous work with chess and Go, these language models offer a novel way to generate plausible game archives, particularly for comparing opening moves across a larger sample than humanly possible to explore.
no code implementations • 9 Apr 2021 • David Noever, Samantha E. Miller Noever
The Mars Perseverance rover applies computer vision for navigation and hazard avoidance.
no code implementations • 18 Mar 2021 • David A. Noever, Samantha E. Miller Noever
With Open AI's publishing of their CLIP model (Contrastive Language-Image Pre-training), multi-modal neural networks now provide accessible models that combine reading with visual recognition.
no code implementations • 13 Mar 2021 • David A. Noever, Samantha E. Miller Noever
This research recasts the network attack dataset from UNSW-NB15 as an intrusion detection problem in image space.
no code implementations • 28 Feb 2021 • David Noever, Samantha E. Miller Noever
As a benchmark using deep learning methods (MobileNetV2), we find an overall 80% accuracy for virus identification by families when beneware is included.
no code implementations • 8 Feb 2021 • David Noever, Samantha E. Miller Noever
The research presents an overhead view of 10 important objects and follows the general formatting requirements of the most popular machine learning task: digit recognition with MNIST.