
Dr. Andrea Soltoggio serves as a Technical Advisor on the Advisory Board of Skylark Labs. He is a distinguished professor and researcher in artificial intelligence, specializing in lifelong learning machines, neuromodulation, neural networks, and autonomous adaptive systems. His pioneering research has advanced the field of continual learning, enabling AI systems to learn and adapt over their operational lifetime without catastrophic forgetting of previously acquired knowledge.
Dr. Soltoggio has been a key researcher in DARPA's Lifelong Learning Machines (L2M) program, the same program that produced the foundational technology behind Skylark Labs' Sensor-Action architecture. His academic work has been published extensively in top-tier AI and machine learning conferences and journals, and he has made significant contributions to the understanding of how biological learning principles can be applied to artificial systems.
At Skylark Labs, Dr. Soltoggio provides deep technical guidance on the company's core AI architecture, continual learning algorithms, and the advancement of embodied intelligence. His expertise in lifelong learning and adaptive neural systems directly supports Skylark Labs' mission to build AI that thinks, adapts, and collaborates autonomously in real-world environments.