Collective Machine Intelligence

Lars Wood, CEO of QAI Swarm based in the United States participates in Risk Roundup to discuss Collective Machine Intelligence. Collective Machine Intelligence As we witness an unprecedented convergence of technological advances in processing power, interconnectivity, cheap data storage, high fidelity rendering, physics simulations, natural language technologies, blockchain, and more, it is important to understand and evaluate what the technological convergence means and why it matters today in cyberspace, geospace, and space (CGS). The technological convergence matters because it allows us to embed individual intelligence (be it human or machine) in shareable concepts, and sharing; connecting, and integrating sources of knowledge, information, and intelligence from cyberspace, geospace, and space is behind everything we humans have done in the past, are doing today and will do in the coming tomorrow. When we look back at how knowledge and information sharing from CGS has evolved since the beginning of times–from drawings and scribes, printing press and newspapers, libraries, radio to mass broadcasting, web search engines to ever-increasing amounts of data and digital content in many different formats; we are witnessing silent information and intelligence revolution that is rapidly moving towards data-driven insight across CGS, and in the process powering collective human intelligence to collective machine intelligence. This silent intelligence revolution and evolution, which has brought us the potential and transformation of information sharing and intelligence gathering of any diverse topic and goals irrespective from cyberspace, geospace or space, this shift from individual to social to technological platform through connected computers, is leading us to a world where intelligent connected machines can now play an increasingly dominant role; as not only collaborators, creators, and containers of collective human intelligence and machine intelligence, but also as human representatives capable of using that information on behalf of humans in many different roles. This fundamental transformation changes human relationships with knowledge, information, and intelligence and raises profound implications for the future of the human experience and endeavors across CGS. It is important to evaluate this further: Knowledge Sharing and connected computers Machine learning and deep learning Human Intelligence and Machine Intelligence Collective Machine Intelligence Collective Machine Intelligence When we look back at how knowledge and information sharing have evolved in many different formats, it’s remarkable to be witnessing a silent revolution towards collective machine intelligence. It is time we evaluate the security risks of the silent revolution towards collective machine intelligence! For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast About the Guest Lars Wood is the CEO of QAI Swarm and is based in the United States. His innovative career spans patented ANN algorithms, advanced microelectronics, thermonuclear and quantum physics, super-computing machines, condensed matter physics, superconducting electronics, subatomic matter visualizations, “Smart Molecule” drug discovery where molecules use supramolecular forces to make decisions about their biological activity. His patented ANN science was the first to solve a non-DARPA large-scale DoD military challenge thought to be impossible generating hundreds of millions of dollars for GTE (GD/Verizon). CIA GoTo for unyielding agency technical challenges. He is also the Founder and director of the GTE-GS award-winning Advanced Machine Intelligence Laboratory. Granted 8 ANN foundational patents, received the highest research award in competition with the founders of ML and AI. He is also a Visiting scientist at MIT, JPL, CIA, SCF, XILINX, SFI, DOS, FBI, LANL, NSA, NRO, DISA, DIA, Whitehouse. 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