Tag: AI4tech

NILG.AI will be at the Iqony Technology Days 2023

Innovation drives the future of the industry, and at NILG.AI, we’re committed to leading this charge. Therefore, we’re excited to announce our participation in the upcoming Iqony Technology Days 2023, scheduled for this September in Brühl, Cologne. Our enthusiasm is fueled by our recent victory in the Hands On Data (HOD) challenge earlier this year.  […]

Written by on Aug 21, 2023

Spatial Explanations: Unlocking Insights with Occlusions

Spatial Explanations with Occlusions: In computer vision, businesses must grasp the workings of image models to fully leverage visual data. Our simple method called spatial explanations with occlusions, helps achieve a deeper understanding. By employing spatial occlusions across images, this technique unveils critical areas that significantly influence the model’s predictions.” What to do with these […]

Written by on Aug 2, 2023

The ABCs of Computer Vision Course is now available!

At NILG.AI, we believe that knowledge is the currency of the 21st century, and our commitment to knowledge sharing drives us to create, acquire, nurture, and facilitate its flow. Today, we are thrilled to announce the launch of our latest free course, The ABCs of Computer Vision – an exciting opportunity to dive into the fascinating […]

Written by on Jul 25, 2023

Empowering AI Innovation

We are excited to announce that NILG.AI is sponsoring the best poster award at the RecPad conference. This annual event brings together brilliant minds in the field of Pattern Recognition in Portugal to explore the latest advancements and breakthroughs in this exciting domain. RecPad Conference is an exceptional local platform for researchers, professionals, and enthusiasts […]

Written by on Jun 12, 2023

The Impact of Large Language Models

Large Language Models (LLMs) are THE hot topic of the year. If the name Large Language Models sounds unfamiliar to you, I’m pretty sure you’ve heard of ChatGPT, OpenAI, and Bard. People who don’t know how to code have gained access to a tool that allows them to build Proof of Concepts for ideas they’ve […]

Written by on May 25, 2023

Increasing Efficiency with Active Learning

The problem: Labeling data is boring (and expensive) So there you are. You have collected your data, analyzed it, processed it, and built your sophisticated model architecture. After many hours of training and evaluating, you have come to a very unpleasant conclusion: you need more data. Before you readjust your budget to fit the extra […]

Written by on Mar 3, 2023

NILG.AI is among the winners of the Vox Pop Open Call for Urban Mobility solutions

Out of 53 applications, the judges chose 18 projects, and NILG.AI earned the second-highest score for its innovative solution to improve mobility for wheelchair users. We are passionate about using data intelligence to drive positive change in communities, and this challenge allowed us to do just that. The challenge The existence of multiple barriers to […]

Written by on Feb 24, 2023

How to deal with the annoying implications of changing data sources

Let’s discuss a common scenario in AI consulting. The client provides access to data sources in formats such as CSVs or databases that aren’t in a production environment. Why? Usually, they’re exploring the value of the project, do not want to disclose too much data and want to prevent technical problems from happening at the […]

Written by on Nov 20, 2022

Stop removing outliers just because!

Outliers are data points that stand out for being different from the remaining data distribution. An outlier can be: An odd value in a feature A data point distant from the centroid of the data A data point in a region of low density, but between areas of high density. Suppose you have been working […]

Written by on Nov 14, 2022

Duplicate detection in text data

A common use case seen across several industries is the creation of systems capable of detecting the similarity between pairs of objects – images and texts. For example, duplicate detection in marketplaces, or recommendation systems that show similar objects to the ones the user has searched for, can use such systems. They can also be […]

Written by on Oct 25, 2022