Meta is marching forward with its solution for reviving declining user numbers: introducing an array of AI-powered chatbots to its services.
Information Philosopher is dedicated to the new Information Philosophy, with explanations for Freedom, Values, and Knowledge.
Backlash on using AI to redub video game lines.
Naruto’s latest fighting game faces criticism for some questionable voiceover lines, leading to accusations of AI manipulation.
Naruto X Boruto: Ultimate Ninja Storm Connections is the newest brawler based on the hugely popular anime series (which itself adapts the hugely popular manga). Rather than purely adapting one part of the anime, however, Naruto X Boruto skims through almost the entire saga and adapts events already covered in previous games. But when comparing the new game’s dub to those previous entries, fans have been left confused.
A research team led by Prof. Chen Wei from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) designed a rechargeable hydrogen-chlorine (H2-Cl2) battery that can operate in temperatures ranging from −70°C to 40°C. The study was published in Journal of the American Chemical Society as the cover article.
Hydrogen fuel cells are a promising technology valuable for their sustainability and the abundance of hydrogen, among which H2-Cl2 fuel cells stand out due to fast electrochemical kinetics, high redox potential and high specific capacity of Cl2/Cl- redox couple. However, the volatile chlorine gas cannot be retained during the charging process, resulting in poor Coulombic efficiency (CE) and reversibility. There is an urgent need to develop aqueous chlorine batteries with high performance and applicability at different temperatures.
The research team first discovered that due to the lack of binding sites with strong affinity to Cl2, traditional adsorptive cathodes have difficulty immobilizing Cl2, causing low reversibility. To tackle this problem, the team designed a hierarchically porous carbon cathode composed of highly micro-/mesoporous carbon (HPC) and macroporous carbon felt (CF), effectively confining the Cl2 on the cathode and improving the reversibility.
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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The modern age of information is possible thanks to the work of a single person, one who changed the way we viewed the world; most people have no idea.
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” »
