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Can the STAR Framework Streamline Your AI Projects?

As a manager dealing with AI projects, you may often find yourself overwhelmed. The constant addition of promising projects to the backlog can lead to a mounting technical debt within your team, forcing you to neglect the core aspects of your business. Here at NILG.AI, we have a solution for this challenge: the STAR framework. […]

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Achieving diverse product recommendations

In this blog post, you’ll learn about some examples of decision processes you can use in recommender systems: do you see any usage for recommending less popular products as a way to improve your business? You will see it now! The Use Case Let’s imagine a use case where you are building a MOOC platform […]

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New internships in AI: Privacy-preserving ML and Similarity Learning

We are proud to share that NILG.AI has partnered with the Faculty of Engineering of the University of Porto (FEUP) through internships in AI as part of curricular units! We have received two new interns, Margarida Vieira and Beatriz Lopes; both enrolled in the Bachelor in Informatics and Computing, tackling two very distinct challenges with […]

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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 […]

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Self-Supervised Learning workshop at the XIII Symposium on Bioengineering

We are delighted to announce our forthcoming workshop on Self-Supervised Learning, a pivotal event slated to take place during the XIII Symposium on Bioengineering, the largest Portugurese Bioengineering congress! The Symposium on Bioengineering is a beacon of collaboration, organized by the Bioengineering Students’ Association, and caters to students and researchers alike. It stands firmly on […]

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Teaching Models With Free Data

“The more I see, the less I know” might be a saying, but it does not apply to AI models. It’s well known that the performance of an artificial neural network is highly dependent on the volume and on the diversity of the data that was shown to the model. This happens because exposing the […]

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Clutch Acknowledges NILG.AI for their Stellar AI Development Services in Portugal

When AI is brought up as a topic, people tend to think about robots taking the world and other post-apocalyptic scenarios. The truth is, many companies have been implementing this technology to better improve their services and products. At NILG.AI, we believe that AI is the future. We create bespoke AI solutions that can adapt […]

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2018, …, 2021, 2022! A review of our path

December and January are the months where we meditate about the path we just covered and the one we are discovering. Below, you will find a coarse picture of our path. Although it hasn’t been a flat straight path, its direction hasn’t changed. We keep committed to building a knowledge-driven reliable ecosystem to make AI […]

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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 […]

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Multiple Product Forecasting in the construction industry

In this article, we will cover a use case in the construction industry related to forecasting the needed materials for construction and the time in which they will be required. In the construction industry, there is a lot of uncertainty between the order time and the time in which it is actually executed, due to […]

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Food and Beverages: Reducing waste using AI

During recent years Artificial Intelligence has been applied to almost all domains and industries to improve or solve specific problems identified by humans. One example is the industry of Food and Beverages, where AI models are being used for different purposes: Finances: by creating more predictable demand forecasts. Innovation: by suggesting new ingredients combination and […]

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