W/ michael timothy bennett australian national university.
Speakers: Michael Timothy Bennett, Cecile Tamura
W/ michael timothy bennett australian national university.
Speakers: Michael Timothy Bennett, Cecile Tamura
A study led by Professor Ginestra Bianconi from Queen Mary University of London, in collaboration with international researchers, has unveiled a transformative framework for understanding complex systems.
Published in Nature Physics, this paper establishes the new field of higher-order topological dynamics, revealing how the hidden geometry of networks shapes everything from brain activity to artificial intelligence.
“Complex systems like the brain, climate, and next-generation artificial intelligence rely on interactions that extend beyond simple pairwise relationships. Our study reveals the critical role of higher-order networks, structures that capture multi-body interactions, in shaping the dynamics of such systems,” said Professor Bianconi.
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Future Day is coming up — no fees — just pure uncut futurology — spanning timezones — Feb 28th-March 1st.
We have: * Hugo de Garis on AI, Humanity & the Longterm * Linda MacDonald Glenn on Imbuing AI with Wisdom * James Barrat discussing new book ‘The Intelligence Explosion’ * Kristian Rönn on The Darwinian Trap * Phan, Xuan Tan on AI Safety in Education * Robin Hanson on Cultural Drift * James Hughes & James Newton-Thomas discussing Human Wage Crash & UBI * James Hughes on The Future Virtual You * Ben Goertzel & Hugo de Garis doing a Singularity Salon * Susan Schneider, Ben Goertzel & Robin Hanson discussing Ghosts in the Machine: Can AI Ever Wake Up? * Shun Yoshizawa (& Ken Mogi?) on LLM Metacognition.
Why not celebrate the amazing future we are collectively creating?
Have you ever questioned the true nature of time? Some physicists claim that time is just an illusion, but our lived experience suggests otherwise. In his latest work, Temporal Mechanics: D-Theory as a Critical Upgrade to Our Understanding of the Nature of Time, cyberneticist Alex M. Vikoulov explores how time is deeply rooted in information processing by conscious systems. From species-specific time perception to the implications of Quantum AI’s accelerated mentation, this video presents some mind-bending ideas in the physics of time. Could an advanced superintelligence manipulate its own past states? Could time itself be an editable construct? Could an AI with advanced temporal modeling actually see every possible future simultaneously?
*Preview TEMPORAL MECHANICS eBook/Audiobook on Amazon:
*Preview Audiobook on Audible:
https://www.audible.com/pd/Audiobook/B0CY9HXWXX
#TemporalMechanics #PhysicsofTime #TimeTravel
Everyone is talking about AI. Do you think it will surpass human intelligence? And what consequences will this have?
We need to focus primarily on how artificial intelligence will transform the workforce and job market. For instance, AI will be a key component of humanoid robots’ brains. Tesla is already producing them, and I believe that within the next 5 years, every automotive company is likely to produce their own version. This makes sense because automotive companies already have the assembly lines and engineering expertise to produce all the small components needed to build them. We’re already amazed by what AI can do today—imagine what it will do in 5 or 10 years, and then think about what it could do when integrated into a humanoid robot. It’s already confirmed through commercial orders with current manufacturers that major fast-food franchise chains and other chains, for example, in the transportation sector, will test humanoid robots within their processes. AI is already skilled in programming tasks and will soon be able to enhance itself.
Summary: Researchers analyzed human motivation from an evolutionary perspective, identifying 15 key motives that drive behavior. These motives, grouped into five categories—environmental, physiological, reproductive, psychological, and social—reflect adaptations that helped early humans survive.
The study used network analysis of survey responses to reveal how these motives interconnect and influence one another. Notably, Status and Play emerged as central to motivational structures, facilitating resource access and skill development.
Findings also showed age and gender differences in motivational priorities, with younger individuals focusing on Status and Play, while older adults prioritize Comfort and Fear. The results have broad applications in marketing, AI, and mental health, helping tailor strategies to different motivational needs.
AI-driven service robot maker Richtech Robotics has launched an accelerator program to provide U.S. universities with development frameworks and access to the Richtech robotic systems to aid robotics research.
The program would grant participating universities access to the Richtech autonomous mobile robots and robotic arm platforms powered by Nvidia technology. The technology includes machine vision and voice interaction modules.
The AI robotics technology includes the service robots Adam and Scorpion, which were featured at CES in January.