Tag: Computer Vision

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

We will be at VISUM Summer School

For the third time in a row, we are proud sponsors of VISUM summer school. VISUM is a worldwide reference summer school in Computer Vision and Machine Intelligence, attracting both experts and students to exchange experiences and knowledge in the field. VISUM has counted on the honor of receiving students from all corners of the […]

Written by on Apr 13, 2022

WDL – Solving Social Problems Using Data Science

This article describes the key points of my participation at the 2021 Edition of the World Data League. The Tech Moguls Team, composed of me, Tiago Gonçalves, Tomé Albuquerque and Joana Morgado, from INESC TEC, finished second place in this edition. World Data League (WDL) is a Data Science competition where groups of Data Scientists […]

Written by on Nov 29, 2021

An AI-Based Image Content Retrieval System

Similarity measurement is the basis for any information retrieval, management, or data mining system. Both in industry and in the scientific community, similarity detection has been shown to be extremely useful when applied to different use cases. Over time, the information available on the internet has been growing in an exponential way, making it harder […]

Written by on Mar 7, 2021

Embedding Domain Knowledge

In the good old days, working as a Machine Learning Engineer meant working 95% of the time on feature engineering and 5% on training models with the extracted features. This was a manually intensive and time-consuming process, that usually led to inflexible proofs of concept that could hardly be adapted to new settings. Fortunately, Deep […]

Written by on Feb 17, 2021

Fighting cervical cancer with Artificial Intelligence

In case you missed it. You may find below our webinar on the Symposium on Bioengineering 2020 at FEUP. Also, we reply to some answers that we didn’t have time to answer during the talk. Abstract Despite being easily preventable, cervical cancer remains a leading cause of death among women — the main reason behind […]

Written by on Aug 25, 2020

Thermal Imaging in AI

Artificial Intelligence (AI) is one of the current hottest issues, intersecting many fields of interest. With the dissemination of this concept, the expectations about its potential grew a lot among the society. Some people look at AI as a set of mechanisms that can improve people’s intelligence, increasing the human activities performance, others look at […]

Written by on Apr 24, 2020

Objectively Estimating Data Quality

In Artificial Intelligence, it is important to measure the quality of the data we are trying to use. For instance, if we want to classify a cervix image according to the degree of cancer, how do we know if that image follows the acquisition protocol and can be used for diagnosing the patient [1] so […]

Written by on Feb 27, 2020