Artificial Intelligence

Time series prediction with FNN-LSTM

Today, we pick up on the plan alluded to in the conclusion of the recent Deep attractors: Where deep learning meets chaos: employ that...

Parallelized sampling using exponential variates

As part of our recent work to support weighted sampling of Spark data frames in sparklyr, we embarked on a journey searching for...

State-of-the-art NLP models from R

Introduction The Transformers repository from “Hugging Face” contains a lot of ready to use, state-of-the-art models, which are straightforward to download and fine-tune with...

Microsoft Edge: Looking back at an unforgettable 2023

As 2023 comes to a close, we wanted to take a moment and reflect on what a remarkable period it has been. We’ve...

FNN-VAE for noisy time series forecasting

This post did not end up quite the way I’d imagined. A quick follow-up on the recent Time series prediction with FNN-LSTM, it was...

Deepfake detection challenge from R

Introduction Working with video datasets, particularly with respect to detection of AI-based fake objects, is very challenging due to proper frame selection and face...

We need a moonshot for computing

None of these potential technologies are new: researchers have been working on them for many years, and quantum computing is certainly making progress...

Study Abroad Podcast: MS/MBA Options with Data Science in USA

Summary of the episode and podcast: The Study Abroad Podcast is for anyone and everyone who is either on their study abroad journey or...

Posit AI Blog: Training ImageNet with R

ImageNet (Deng et al. 2009) is an image database organized according to the WordNet (Miller 1995) hierarchy which, historically, has been used in...

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