Posts

Blown Away

Between vacation, end-of-year projects, the coming holidays, and other hysteria,...

Rift Between Junior and Senior Developers

I’m worried about AI. I’m not worried about it taking my job. I believe AI is a ...

Henry Ford Does AI

Back in August, I cavalierly said that AI couldn’t design a car if it hadn’t see...

Preparing for AI

AI is everywhere—we’re in a middle of a technology shift that’s as big as (and p...

The AI Blues

A recent article in Computerworld argued that the output from generative AI syst...

Think Better

Over the years, many of us have become accustomed to letting computers do our th...

Software Architecture in an AI World

Like almost any question about AI, “How does AI impact software architecture?” h...

Beyond Imitation

The first AI image generation model I got to play around with was Midjourney v2 ...

torch time series, take three: Sequence-to-sequence pre...

In our overview of techniques for time-series forecasting, we move on to sequenc...

torch time series continued: A first go at multi-step p...

We continue our exploration of time-series forecasting with torch, moving on to ...

Introductory time-series forecasting with torch

This post is an introduction to time-series forecasting with torch. Central topi...

First mlverse survey results – software, applications, ...

Last month, we conducted our first survey on mlverse software, covering topics r...

torch, tidymodels, and high-energy physics

Today we introduce tabnet, a torch implementation of "TabNet: Attentive Interpre...

Simple audio classification with torch

This article translates Daniel Falbel's post on "Simple Audio Classification" fr...

Forecasting El Niño-Southern Oscillation (ENSO)

El Niño-Southern Oscillation (ENSO) is an atmospheric phenomenon, located in the...

Convolutional LSTM for spatial forecasting

In forecasting spatially-determined phenomena (the weather, say, or the next fra...

torch 0.2.0 - Initial JIT support and many bug fixes

The torch 0.2.0 release includes many bug fixes and some nice new features like ...

sparklyr 1.5: better dplyr interface, more sdf_* functi...

Unlike all three previous sparklyr releases, the recent release of sparklyr 1.5 ...

Brain image segmentation with torch

The need to segment images arises in various sciences and their applications, ma...

torch for tabular data

How not to die from poisonous mushrooms. Also: How to use torch for deep learnin...

Classifying images with torch

We learn about transfer learning, input pipelines, and learning rate schedulers,...

sparklyr.flint 0.2: ASOF Joins, OLS Regression, and add...

We are excited to announce a number of powerful, new functionalities and improve...

Optimizers in torch

Today, we wrap up our mini-series on torch basics, adding to our toolset two abs...

Using torch modules

In this third installment of our mini-series introducing torch basics, we replac...

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