Detecting COVID-19 With Deep Learning? — IT Solutions In Times Of Crisis Times of international crisis — like wars, economical collapses or pandemics — are never welcome, yet they seem inevitable and are, sadly, a natural part of human existence. It’s hard to look for positives when the world is bleeding, but difficult times have proven to be a perfect environment for…
Can Worker Bees Help Improving… Fraud Detection? The main tasks of worker bees is to find and harvest flowers. Although tiny, these insects are capable of searching within a staggering 6-kilometer (3,7 miles) radius; to achieve this, they developed a surprisingly smart strategy — they move in multiple directions simultaneously to be more efficient. At the same…
AI Explainability: What If the Computer Says No? Artificial Intelligence is transforming the world we know on a daily basis. But, as we trust it to make more and more choices, what if we don’t like the decisions that are made? What happens when AI denies us something and we ask for an explanation? After all, businesses have to explain their reasoning or logic and using AI doesn’t circumvent them from…
Top 5 Reasons To Use Mesh Twin Learning in Your Smart Factory All the world’s talking about Digital Twin – but let’s think a little further ahead than that. Digital Twin is just the first step, not the end destination. Mesh Twin Learning is the next phase – so let’s explore that and provide a number of key benefits that MTL is…
More Effective Machine Learning Production with MLOps Machine Learning is slowly starting to mature as a field, but many businesses are still facing tough upfront challenges. While there are a huge (and increasing) amount of new algorithms, neural network architectures and libraries, practical deployments are still in the toddler phase. However, there’s plenty of new hope for…
Digital Twin: The First Step To Industry 4.0 In one of our recent posts, we introduced the Mesh Twin Learning (MTL) concept, which uses modern technologies to give industrial companies a competitive advantage by introducing micro-optimisations and sharing learned successes across the organisation. MTL is pretty advanced concept, though. It requires data from IoT sensors, the creation of…
MLflow: Tracking ML Model Changes & Deployment in Azure In this post, we’ll cover tracking changes, as well as comparing and tracking the deployment of Machine Learning models using MLflow library. We’ll later set up resources in the Azure Cloud so we can provision our model, as well as create the Azure DevOps pipeline to deploy a new model…
Machine Learning in Daily Business – Predicting Performance for Car Sharing Networks One of the less discussed Machine Learning appliances is time series prediction, which can be used for predicting the future values of your business metrics, but also for identifying the seasonality of demand in your specific trade. Here, I want to show one exact example of how this works –…
Man vs Machine, A History. Part 2 – AI Quests That Benefit Us All In the first part of this article, we embarked on a quest to follow the progress of computers defeating human champions in several classic games - including Backgammon, Chess and Go - as well as some more modern invention. In this part, we will focus on advances within the last…
Man vs Machine, A History. Part 1 – The Only Winning Move? Since the beginning of the computer age, people have been comparing the capabilities of “electronic brains” to their own. One of the ways to approach this matter is to use an abstraction of a game, specifically one that has a certain set of rules and victory conditions, and see whether…
