Alectio

Anyone who’s worked in machine learning or artificial intelligence has probably spent their fair share of time trying to explain just what…

The conclusion of our series on responsible AI

The third in our series on responsible AI

The Second in our Series on Responsible AI

And how we can get it right

Let’s begin with the obvious: every machine learning project starts with data. Whether that data needs to be labeled, collected, generated…

At Alectio, we’ve pioneered a technique that lets us understand how a model’s learning and what data the model needs without looking at…

How we leverage reinforcement learning to create smarter models that need less data

Understanding model preferences with active learning

(And no, “we collect everything” isn’t a strategy)

The year is 1965. Lyndon B. Johnson is sworn in as president. The Rolling Stones releases “Satisfaction,” their first number one single in…

Perhaps the most pervasive misconception in data science is “the more data, the better.” Just think about how many people do you know who…

Some frequently asked questions, answered

Active learning is one of the most misunderstood techniques in machine learning. Many of us had some experience with it in school, using…

Before we jump into our final installment in this series, we thought it would be smart to take a moment and refresh your memory about what…

We tried to ‘lie’ to our classification model by feeding mis-labeled data and analyze the results…

We tried to ‘lie’ to our classification model by feeding mis-labeled data and analyze the results…

How sensitive are ImageNet trained models to simple image transformations?