Why Machine Learning will Dominate Software
AI is turning the tech world upside-down right now. With the release of large-language systems like Chat-GPT and various coding copilots, many people are questioning the value of a tech...continue reading.
AI is turning the tech world upside-down right now. With the release of large-language systems like Chat-GPT and various coding copilots, many people are questioning the value of a tech...continue reading.
torch v0.11.0 is now on CRAN. This release features much-enhanced support for executing JIT operations. We also amended loading of model parameters, and added a few quality-of-life improvements, like support...continue reading.
Implementation and walk-through of LLaMA, a Large Language Model, in R, with TensorFlow and Keras.continue reading.
Escnn, built on PyTorch, is a library that, in the spirit of Geometric Deep Learning, provides a high-level interface to designing and training group-equivariant neural networks. This post introduces important...continue reading.
For years, people have been talking about the era of “big data.” The data deluge. As early as 2010, The Economist wrote about how “quantity of information in the world...continue reading.
luz v0.4.0 is now on CRAN. This release adds support for training models on ARM Mac GPUs, reduces the overhead of using luz, and makes it easier to checkpoint and...continue reading.
torch v0.10.0 is now on CRAN. This version upgraded the underlying LibTorch to 1.13.1, and added support for Automatic Mixed Precision. As an experimental feature, we now also support pre-built...continue reading.
Currently, in generative deep learning, no other approach seems to outperform the family of diffusion models. Would you like to try for yourself? If so, our torch implementation of de-noising...continue reading.
I’ll never forget what my manager said to me. “Do you need me to break down some doors? Do you need me to flip over some tables?” He was talking...continue reading.
Please allow us to introduce Deep Learning and Scientific Computing with R torch. Released in e-book format today, and available freely online, this book starts out by introducing torch basics....continue reading.
With all of the buzz around the word “Machine Learning” in the world of business today, it has become increasingly difficult to determine what it actually… The post Maximizing Efficiency...continue reading.
With all of the buzz around the word “Machine Learning” in the world of business today, it has become increasingly difficult to determine what it actually means and how it...continue reading.
Logistics and supply chain management revolve around moving and processing goods from producers to consumers. In modern times, a large volume of information is shared between… The post Big Data...continue reading.
Logistics and supply chain management revolve around moving and processing goods from producers to consumers. In modern times, a large volume of information is shared between companies involved in a...continue reading.
DevOps teams are responsible for delivering software applications at an unprecedented pace while maintaining a high level of output and performance quality. With the rapid advancements in technology, DevOps teams...continue reading.
DevOps teams are responsible for delivering software applications at an unprecedented pace while maintaining a high level of output and performance quality. With the rapid advancements… The post How Can...continue reading.
Jesus. I just spent about an hour playing with GPT, asking it to write some Pandas code for me, and I want to set my computer on fire. Do you...continue reading.
We code up a simple group-equivariant convolutional neural network (GCNN) that is equivariant to rotation. The world may be upside down, but the network will know.continue reading.
Unless you’ve been living in a secluded hut on the side of a remote mountain in Nepal, you’ve probably heard major chatter about AI in the last few months. First,...continue reading.
In this first in a series of posts on group-equivariant convolutional neural networks (GCNNs), meet the main actors — groups — and concepts (equivariance). With GCNNs, we finally revisit the...continue reading.