ContinualAI elections are officially on! — by Vincenzo Lomonaco, Keiland Cooper, Andrea Cossu, Tyler Hayes ContinualAI is an official non-profit research organization and the largest open community on Continual Learning for AI, founded in January 2018. Our core mission is to fuel continual learning research by connecting researchers from across the field and offering a platform…

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

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