Our Blog
Agile Data Labeling: What it is and Why you Need it
This article was originally published in KGNuggets; see original publication here. The concept of agility is certainly a popular one in technology, but not one that you would naturally associate with data labeling. And it’s fairly easy to...
Leveraging Active Learning on Small Datasets
At Alectio, we’re usually known to help ML teams reduce the size of their datasets; our typical users come to us when they have more data than they know what to do with, and when training on their entire dataset is just not feasible, the...
Planes, Training and Anomalies (or How Much Data is Really Needed When Working with Sensor Data?)
If you are an avid Alectio follower, you’ll know by now that efficient training is what we do. It is not just a matter of philosophy (even though it is, as we have described here, here and here); it’s also a simple matter of economics....
9 Reasons Why Active Learning is Not Widely Adopted
The Machine Learning field is full of buzz: deep learning, LSTMs, generative adversarial networks; the list keeps going on and on and on. Some of the most promising concepts, though, stand at the other end of the spectrum. Active learning...
How Active Learning Can Massively Reduce Aerial Imagery Labeling Costs
As we enter 2021, active learning is perhaps the least understood and most underutilized technique in machine learning today. Its promise is simple and elegant: to reduce the overall records you use to train models without trading off...
How We Helped Voyage Increase Their Model Performance with Active Learning
This article was written in collaboration with Voyage, and originally published on their blog. The field of computer vision reached a tipping point when the size and quality of available datasets finally met the needs of theoretical...
There’s No Such Thing as Green AI
Meet John. John is a machine learning scientist. He likes his cat and he loves his dogs. He has a wife and two kids and he cares about the environment. He rides his bike to work instead of driving but when he has to drive, he takes his...
WEBINAR RECORDING: 5 Ways to Save on Data Labeling
You probably don’t need us to tell you this, but machine learning is expensive. Whether it’s data storage, data warehousing, rising compute costs, models that need retraining, hiring the best and brightest in a competitive marketplace, or...
Alectio Explains it All
If you work in machine learning, chances are you’ve had that moment at a party or a family dinner where someone asked you to explain some esoteric ML concept in a way your audience could understand. For experts, this can be tough. After...
Increasing Accessibility to AI
The first cell phone ever sold was called the DynaTAC 8000X. The year was 1983 and for the low, low price of $3995, you could have been an early adopter. The phone itself took ten hours to charge and had a battery life of half an hour. It...
Creating More Opportunities in AI
Last piece, we dug into the concept of increasing access to AI. In this one, we’re going to tackle opportunity. You may be asking yourself what exactly the difference is here, and, we’ll admit this a Venn diagram with some overlap....
Impact, Bias and Sustainability in AI
Back in 2013, a man by the name of Eric Loomis was arrested in Wisconsin. Loomis was driving a car that had been used in a shooting and pled guilty to eluding an officer. It’s a case that should be fairly unremarkable but at sentencing,...