Join one of the largest AI & Continual Learning Italian research groups!

We are looking for expressions of interest from motivated prospective PhD students and Post-Docs to join our Pervasive AI Lab at the University of Pisa & CNR, working on Continual Learning with Deep Architectures and related topics. The lab is one of the larger Italian groups working on AI and…

Bringing State-of-the-art Continual Learning to Embedded Devices

Fig.1: iCub Robotic Platforms and the CORe Android Application.

Artificial Intelligence (AI) technologies have the potential to radically transform the way we experience the world and connect with other people by making the objects around us “smarter”: gathering and processing information, making decisions, adapting to changes, and interacting with humans and other objects, rather than being simply hard-programmed in…

Why There Will be no Human-Level Artificial Intelligence Before Understanding Biological Intelligence First.

In the last decade we have witnessed a renewed interest in Artificial Intelligence and revamped hopes for its future developments. …

The new “Agile” in the Machine Learning Era

Fig. 1: The Machine Learning Lifecycle, © copyright [1]

The Agile software development approach, popularized around 2010 by the Manifesto for Agile Software Development, advocates adaptive planning, evolutionary development, early delivery, and continual improvement as key properties in order to provide a rapid and flexible response to increasingly fast changes of the market and its requisites.

As the linear…

Vincenzo Lomonaco, Keiland Cooper, Natalia Díaz Rodríguez, Timothée Lesort, German I. Parisi, Davide Maltoni, Lorenzo Pellegrini, Giacomo Bartoli, Jidin Dinesh, Manish Agnihotri, Martin Mundt

Fig. 1: ContinualAI official website at

Humans have the extraordinary ability to learn continually from experience. Not only can we apply previously learned knowledge and skills to new situations, we can also use these as the foundation for later learning. …

Towards the concept of Fluid Intelligence

In the last decade we have witnessed a tremendous progress in Artificial Intelligence (AI) due to recent Machine Learning (ML) advances.

Highlights, Open Issues and Future Directions

Continual Learning Workshop NeurIPS 2018 Official Website


Continual Learning is an exciting topic getting more and more attention lately in the AI community. While the “Continual Learning” workshop was born at NeurIPS in 2016, it did not take place in 2017 leading to its second and most successful edition in 2018, the 7th of December, just a…

Co-written by Vincenzo Lomonaco and Marta Ziosi

“The world’s most valuable resource is no longer oil, but data.” — Copyright © David Parkins, The Economist [1]

The last decade has witnessed tremendous advancements in the context of Artificial Intelligence (AI) to the point that many are framing it not only as a groundbreaking technology but even as “the new electricity” echoing the unique impact its analogue counterpart had and still has on our society.

Despite the…

Brain circuits In Brainbow mice. Neurons randomly choose combinations of red, yellow and cyan fluorescent proteins, so that they each glow a particular color. This provides a way to distinguish neighboring neurons and visualize brain circuits. 2014. HM Dr. Katie Matho.

The last decade has marked a profound change in how we perceive and talk about Artificial Intelligence. …

Official Home Page of the CORe50 project.

Hi guys, what’s uuup? :-) I’m Vincenzo Lomonaco, a 2nd year PhD student @ University of Bologna and in this second story on Medium I’d like to cover our latest work on Continual/Lifelong Learning with Deep Architectures.

This work, currently under peer-review, is all about a new dataset and benchmark…

Vincenzo Lomonaco

AI & Continual Learning Assistant Professor @ Unipi | Co-Founding President & Lab Director @ | Personal Website:

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