Cornell University researchers have developed a new robotic framework powered by artificial intelligence – called RHyME (Retrieval for Hybrid Imitation under Mismatched Execution) – that allows robots ...

"Learning polo and appearing to play it like a pro in the short span of two and a half months was the first impossible task that was put ahead for me. It was very daunting and scary. Now that we ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

“[T]he only thing the claims disclose about the use of machine ... learning is used in a new environment,” wrote the CAFC. The claims are also are not rendered eligible just because they ...

Machine learning enables systems to examine extensive datasets faster than previously possible. Tasks such as predicting customer behavior or detecting fraud now occur in seconds, significantly ...

Cog is an open-source tool that lets you package machine learning models in a standard, production-ready container. You can deploy your packaged model to your own infrastructure, or to Replicate. 🤬️ ...

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different ...

A data visualisation task can support students’ problem-solving and critical thinking skills as well as give context to themes around sustainability. Here’s how to put it into practice Real-world and ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...