What happens when machines become more intelligent than humans? One view is that this event will be followed by an explosion to ever-greater levels of intelligence, as each generation of machines…
Hilary Putnam has argued that computational functionalism cannot serve as a foundation for the study of the mind, as every ordinary open physical system implements every finite-state automaton. I argue that Putnam’s argument fails, but that it points out the need for a better understanding of the bridge between the theory of computation and the theory of physical systems: the relation of implementation. It also raises questions about the class of automata that can serve as a basis for understanding the mind. I develop an account of implementation, linked to an appropriate class of automata, such that the requirement that a system implement a given automaton places a very strong constraint on the system. This clears the way for computation to play a central role in the analysis of mind.
LLM playfully dubbed ‘ScienceGPT’ is being trained from data from the Aurora supercomputer.
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Keynote lecture at Neuroinformatics 2016 in Reading, United Kingdom.
TRACK I — NORMAL DEVELOPMENT / COGNITION
Talk title: Typical and atypical development of large-scale brain networks.
Speaker: Vinod Menon, Stanford School of Medicine, USA
About INCF
The International Neuroinformatics Coordinating Facility (INCF) is an international non-profit organization devoted to advancing the field of neuroinformatics and global collaborative brain research. Learn more about INCF: www.incf.org
Nervous systems are complex networks, comprised of billions of neurons connected by trillions of synapses. These connections are subject to specific wiring rules that are thought to result from competitive selection pressures to minimise wiring costs and promote complex, adaptive function. While most connections in the brain are short-range, a smaller subset of metabolically costly projections extend over long distances to connect disparate anatomical areas. These long-range connections support integrated brain function and are concentrated between the most highly connected network elements; the hubs of the brain. Hub connectivity thus plays a vital role in determining how a given nervous system negotiates the trade-off between cost and value, and natural.
selection may favour connections that provide high functional benefit for low cost.
Consistent with this view, Professor Alex Fornito will present evidence.
that hub connectivity is under strong genetic control. He will show that the strength of connectivity between hubs in the human brain is more heritable than connectivity between other nodes, and that the genetic variants influencing hub connectivity overlaps with those implicated in mental illness and intelligence. He will also discuss the progress and challenges of developing generative models that evaluate the role of different cost-value trade-offs in driving complex brain topology.
Continue reading “Brain network hubs: maps, molecules, and models” »
A new study in mice and monkeys suggests that one ingredient to a longer, healthier life may be taurine, a micronutrient commonly found in energy drinks.
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Continue reading “Taurine appears to reverse aging in animals. Can it do the same for us?” »
“The Vibrating Glove Can Control Parkinson’s Symptoms.”
This session will discuss the exciting new vibrating glove that he has developed to alleviate tremor, stiffness, abnormal walking, slow body movement and balance problems associated with Parkinson’s Disease and other movement disorders. Hear from Dr. Tass on the vibrating glove and how it can improve your symptoms and quality of life.
This video discusses how monoclonal antibodies may be valuable tools against the growing threat of antimicrobial-resistant bacteria, explores their bacteria-killing mechanisms, and highlights their potential as adjuvant therapies to antibiotics.
Link to script and all references:
https://docs.google.com/document/d/1jxjCI51yXLPjsEyBD6KsO6X4…sp=sharing.
Production Director: Neil Lin.
Video Editor: Neil Lin.
Scriptwriter: Neil Lin.
Narration & Script Editing: Nishaad Sheth.
With Audio & Graphics Help From: James Wang & David Klitovchenko
Anthropic strategically lowers pricing for its conversational AI model, Claude 2.1, to compete with large AI firms and the increasing presence of open-source alternatives in the enterprise AI market.
