Olaf Witkowski is the Chief Scientist at Cross Labs, which aims to bridge the divide between intelligence science and AI technology. A researcher of artificial life, Witkowski started in artificial intelligence by exploring the replication of human speech through machines. He founded Commentag in 2007, and in 2009 moved to Japan to continue research, where he first became interested in artificial life. In his own words, Witkowski says, "artificial intelligence means that you are trying to copy human intelligence as best as possible. Artificial life says, okay, that's good, but let's try to understand human intelligence and recreate it from the fundamental knowledge we have acquired. It's a bit like the Richard Feynman quote: what I cannot create, I do not understand."

Cross Roads welcomes an interdisciplinary crowd interested in intelligence science at the crossing between academic research and technology industry. Our approach is interdisciplinary, and includes artificial intelligence, robotics, cognitive neuroscience, artificial life, computer vision, computational linguistics, among many other disciplines. Our meetings are open to all researchers, scholars and technology experts who are excited in our approach. CrossRoads is supported by Cross Labs, a new research institute for the fundamental principles of intelligence, founded by Cross Compass Ltd. in 2019. Cross Labs seeks to uncover the mathematical bases behind all intelligent processes, observable both in nature and in artificial environments, and to design new tools to better solve problems in the industry.

Cross Labs' mission is to bridge between intelligence science and AI technology at the service of human society. At Cross Labs, we focus on pushing fundamental research towards a thorough mathematical understanding of all intelligent processes observable both in nature and in artificial environments. To reach our goals, we are seeking ambitious, highly-skilled researchers to solve open problems on both natural and artificial intelligence fronts. Our current research priorities cover a large range of intelligence science topics, including artificial life, cognitive neuroscience, collective intelligence, deep learning, robotics, and computational linguistics. Other research topics will be seriously considered if you can make a case for their tractability and relevance to intelligence science research as envisioned by Cross Labs.