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Our latest Publications

November 26, 2025

Sylvain LIEGE has launched his new Book

We are please to share that Sylvain LIEGE has launched his new book: AI: The Hunt for Intelligence – Beyond the Hype and Fear
AI Data Quality
June 25, 2025

#12 AI Data Quality: Crap in – Crap out

AI Data Quality – Any AI project is based on data used to train the model. Unlike what we would imagine, getting the right data in the right shape is far from easy or obvious. Building a quality dataset is an engineering work. This paper covers the various steps of this job.
AI: Fixing the Training gone Wrong
May 20, 2025

#11 AI: Fixing the Training gone Wrong

Building on Paper #10’s AI training pitfalls—underfitting (too lazy), overfitting (too rigid), high bias (skewed guesses), and high variance (wild swings)—this paper offers practical fixes for our smell detector. We explore three levers: boosting network capacity, extending training with more epochs, and enriching data for smarter learning.

Our latest Publications

November 26, 2025

Sylvain LIEGE has launched his new Book

We are please to share that Sylvain LIEGE has launched his new book: AI: The Hunt for Intelligence – Beyond the Hype and Fear
AI Data Quality
June 25, 2025

#12 AI Data Quality: Crap in – Crap out

AI Data Quality – Any AI project is based on data used to train the model. Unlike what we would imagine, getting the right data in the right shape is far from easy or obvious. Building a quality dataset is an engineering work. This paper covers the various steps of this job.
AI: Fixing the Training gone Wrong
May 20, 2025

#11 AI: Fixing the Training gone Wrong

Building on Paper #10’s AI training pitfalls—underfitting (too lazy), overfitting (too rigid), high bias (skewed guesses), and high variance (wild swings)—this paper offers practical fixes for our smell detector. We explore three levers: boosting network capacity, extending training with more epochs, and enriching data for smarter learning.