Reinforcement learning provides a conceptual framework for autonomous agents to learn from experience, analogously to how one might train a pet with treats. But practical applications of reinforcement…
Artificial intelligence
Hand disassembly won’t be ideal once the company starts taking in more materials, says Andy Hamilton, Redwood’s VP of manufacturing. Eventually, Redwood hopes to automate more of this…
We are excited to announce that the keras package is now available on CRAN. The package provides an R interface to Keras, a high-level neural networks API developed…
Introduction In my research, I apply deep learning to unravel molecular interactions in the human immune system. One application of my research is within cancer immunotherapy (Immuno-oncology or…
From supercomputers to personalised health care recommendations, Data Science has changed our lives in incredible ways. However, it is safe to say that this is only the beginning,…
The 2023 Breakthrough Technologies It’s finally here—our 2023 list of 10 Breakthrough Technologies. Two climate items made the list this year: electric vehicles and battery recycling! We’ve been…
Five decades later, NASA has a plan to send astronauts back to the lunar surface. Called Artemis, after the sister of Apollo in Greek mythology, the project aims…
It’s 2019; no one doubts the effectiveness of deep learning in computer vision. Or natural language processing. With “normal,” Excel-style, a.k.a. tabular data however, the situation is different….
A bit more than a year ago, in his beautiful guest post, Nick Strayer showed how to classify a set of everyday activities using smartphone-recorded gyroscope and accelerometer…
If you’ve been thinking about diving into deep learning for a while – using R, preferentially –, now is a good time. For TensorFlow / Keras, one of…