Standalone document-oriented database gives developers an open-source alternative to MongoDB now and perhaps an industry ...

Faster R-CNN is a two-stage object detection model that uses a Region Proposal Network (RPN) to generate high-quality region proposals, followed by a classifier to detect objects. Vision Transformers ...

Until now, progress in AI had relied on bigger and better training runs, with more data and more computer power creating more intelligence. But once a model was trained, it was hard to use extra ...

Furthermore, we conduct a theoretical analysis of the convergence properties of the proposed model. Experiments were conducted on two distinct task-oriented dialogue datasets, revealing that the ...

The AI-related risks include data poisoning and model corruption. These, Interos argues, pose significant challenges for organizations integrating AI into their operations. They are right ...

Move over ChatGPT and DALL-E: Spreadsheet data is getting its own foundation machine learning model, allowing users to immediately make inferences about new data points for data sets with up to 10,000 ...

Synthetic training data, or training data generated by other models, has helped drive costs down. Palmyra X 004, a model recently released by AI company Writer, trained almost entirely on ...

These are then used together in an assimilation class object. This allows the user to code the ensemble ... If you have written a time-dependent simulation in python then pyda will handle the data ...