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NILG.AI Joins Microsoft’s Learn with Creators Program

We are excited to share a remarkable milestone for NILG.AI: Microsoft has recognized our YouTube channel as a key contributor to the global education ecosystem in Artificial Intelligence. This honor comes with our inclusion in the prestigious Microsoft Learn with Creators program. Our Mission and Growth Since its inception in 2023, our YouTube channel has […]

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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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You Have the Right to Remain Silent

The Miranda warning prevents us from self-incrimination. You have the right to remain silent. Anything you say will be used against you. If we hold ML models accountable for their predictions, shouldn’t we at least grant them that right? Can we expect ML models to know everything? I guess we don’t! Moreover, it would be […]

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Insights in AI applied to Credit Scoring

Having access to liquidity has been a major issue for humankind for financing both personal life aspects (e.g., housing, cars, college) and for business initiatives (e.g., starting, growing, and expanding a business). The amount of uncertainty that both faces of this exchange – i.e., the creditor and the prospective debtor – face are paramount. On […]

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NILG.AI among winners of the DataHub Ruhr Open Innovation call

We are proud to announce that NILG.AI was among the winning startups of the 4th open call for the DataHub Ruhr. DataHub Ruhr is an open innovation initiative that creates matchmaking opportunities between major corporations in the Ruhr area and global startups. In the 4th edition of this program, 8 challenges were proposed by 4 […]

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ML System Design: Federated Learning

NILG.AI, together with Neu.ro decided to try a format similar to a Reading Club, where the topic is not a specific paper but an entire research area. After a short discussion, we had a System Design part where the team described a specific use case to apply the new approach. Ideally, the discussion would stick […]

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