Capo Caccia Cognitive Neuromorphic Engineering Workshop: 2023

Theme for 2023:

“Lessons from machine learning and neuroscience for building efficient intelligent systems”

It is an exciting era of significant progress in the quest for implementing intelligence in artificial systems. This stems from major breakthroughs in our understanding of natural intelligence, thanks to new tools for better data collection and analysis from the brain; in the development of machine learning algorithms for solving real-world problems; and in the availability of scalable computing substrates that are smaller, denser, faster and feature parallel processing capabilities.

In this workshop, we combine all the above towards a more efficient and powerful implementation of intelligent systems. Specifically, our objective is to pinpoint what current ideas from machine learning and neuroscience can lead to practical designs for implementing low-power and miniaturized neuromorphic intelligent systems. To do so, in a setting that fosters brainstorming and cross-fertilization, we stimulate exchange of ideas on topics in which biology, modeling, and engineering are dealt with simultaneously. These topics will range from fundamental principles such as learning, memory and the neurobiology of time; to high-level functions such as navigation, embodiment and active sensing.

The mission of the CapoCaccia Workshops for Neuromorphic Intelligence is to understand the principles of biological intelligence and apply this knowledge in technologies, for the good of all mankind.

The workshop features open and highly interactive discussion sessions in the morning; hands-on projects, tutorials, and hardware and software jamming sessions during the day; and free-form discussions in the evenings.

The workshop is open to everyone, but since resources are limited, we can accept only a limited number of registrations. Due to the limited number of hotel rooms, Ph.D. students are expected to pair up and share rooms. All participants are encouraged to stay for the full two week period, but can stay for less if necessary.

Participants are expected to use their own sources of funding to pay their travel, accommodation, and registration expenses.