By Bobby Mukherjee
Hi readers. I just finished this article in the New Yorker on the famous science fiction author William Gibson. The article talks about how some of Gibson’s best sci-fi ideas actually come from the present time, as opposed to looking years into the future.
Instead of thinking…
Researchers trained an algorithm to predict knee pain better than the decades-old standard
By Melanie Ehrenkranz
Emma Pierson, a senior researcher at Microsoft Research New England, said that her medical collaborator on a recent study shared an accurate, though not very reassuring fact about pain. …
RAPIDS Series 2: Step-by-step Python configuration for more efficient computing
By Filip Velkov
Have you ever found yourself desperately needing more GPU power to run your deep learning models, but your local configuration simply can’t carry out? …
A voyage — and invitation — into NVIDIA’s GPU-accelerated ecosystem
By Juan Medina, Team Lead in Data Science & ML at Loka.com
More and more disruptive companies are looking at data science to leverage large-scale datasets and generate precious insights. …
Spoiler alert: This is not the usual post about Flutter 😉
By: Alfredo Rinaudo, Senior Mobile Developer at Loka, Inc.
I'm realizing there are still only a few companies that really know about Flutter, and even fewer use it. …
By Fernando Escobar, Data Lead at Loka, Inc.
Hi, I’m Fer. And for the better part of the last decade, I’ve specialized in data analysis and data engineering for Fortune 500s and Series-A Startups. Here’s what I see coming our way in 2021.
When I think about how I’d define…
By Melanie Ehrenkranz
We know that training powerful machine learning models takes a lot of time and massive computing power—and these things inherently cost a lot of money and take a toll on our planet. …
By Melanie Ehrenkranz
Much of our digital lives are in the cloud, a seemingly abstract digital space. But it’s not abstract—while the data is intangible, the storage centers where this data lives are very real in the physical world. …
