A new photonic processor efficiently solves complex NP-complete problems using light, offering faster computation and scalability for future applications in optical neural networks and quantum computing.
As technology continues to evolve, the limitations of traditional electronic computers are becoming more evident, particularly when addressing highly complex computational problems. NP-complete problems, which grow exponentially in difficulty as their size increases, are among the most challenging in computer science. These issues affect a wide range of fields, from biomedicine to transportation and manufacturing. To find more efficient solutions, researchers are turning to alternative computing methods, with optical computing showing significant promise.
Michael Levin is a Distinguished Professor in the Biology department at Tufts University and associate faculty at the Wyss Institute for Bioinspired Engineering at Harvard University. @drmichaellevin holds the Vannevar Bush endowed Chair and serves as director of the Allen Discovery Center at Tufts and the Tufts Center for Regenerative and Developmental Biology. Prior to college, Michael Levin worked as a software engineer and independent contractor in the field of scientific computing. He attended Tufts University, interested in artificial intelligence and unconventional computation. To explore the algorithms by which the biological world implemented complex adaptive behavior, he got dual B.S. degrees, in CS and in Biology and then received a PhD from Harvard University. He did post-doctoral training at Harvard Medical School, where he began to uncover a new bioelectric language by which cells coordinate their activity during embryogenesis. His independent laboratory develops new molecular-genetic and conceptual tools to probe large-scale information processing in regeneration, embryogenesis, and cancer suppression.
TIMESTAMPS: 0:00 — Introduction. 1:41 — Creating High-level General Intelligences. 7:00 — Ethical implications of Diverse Intelligence beyond AI & LLMs. 10:30 — Solving the Fundamental Paradox that faces all Species. 15:00 — Evolution creates Problem Solving Agents & the Self is a Dynamical Construct. 23:00 — Mike on Stephen Grossberg. 26:20 — A Formal Definition of Diverse Intelligence (DI) 30:50 — Intimate relationships with AI? Importance of Cognitive Light Cones. 38:00 — Cyborgs, hybrids, chimeras, & a new concept called “Synthbiosis“ 45:51 — Importance of the symbiotic relationship between Science & Philosophy. 53:00 — The Space of Possible Minds. 58:30 — Is Mike Playing God? 1:02:45 — A path forward: through the ethics filter for civilization. 1:09:00 — Mike on Daniel Dennett (RIP) 1:14:02 — An Ethical Synthbiosis that goes beyond “are you real or faking it“ 1:25:47 — Conclusion.
The world of personal AI assistants is crowded. No doubt, you’ve probably seen or heard a cacophony of complaints around the recent launches of AI-powered gadgets that are meant to act as personal assistants, while minimizing use of your smartphone. We’ve seen the reviewers trash the Humane AI Pin, and the Teenage Engineering-designed, Rabbit R1.
Here’s Malur Narayan of Latimer AI sharing about removing bias, and setting a standard for identifying and measuring it in artificial intelligence systems, and LLM’s.
Malur is a tech leader in AI / ML, mobile, quantum, and is an advocate of tech for good, and responsible AI.
Viktoria Soltesz is the founder and CEO of PSP Angels Group, an independent payment consulting firm. PSP Angels is an independent payment and banking consultancy firm. In this interview leading up to the Fin+AI 2024 Conference we discuss a variety of topics related to moving money.
In this interview I speak with Greg Ross-Munro, Gregg Hilferding and Justin Davis Sourcetoad, a technology consulting and software development firm that works on large digital-transformation projects for enterprise companies.
Both Justin Davis, VP of User Experience, and Gregg Hilferding, VP of Organizational Development will be speaking on two different topics on different two tracks at Fin+AI 2024 Conference.
