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May 28, 2024

Dennett’s Multiple Drafts Theory of Consciousness

Posted by in category: neuroscience

According to the philosopher and cognitive scientist Daniel Dennett, a conscious state is a brain state that is spread out in both space and time. It is spread out in the brain across multiple instances of what Dennett calls “content fixations.” These content fixations are the “multiple drafts” in the theory’s name. Each of these drafts compete for domination in the cognitive system. This domination is what Dennett calls “fame in the brain.” Read more about it here: http://www.scholarpedia.org/article/M

#philosophyofmind

May 28, 2024

Is there a solution to the Mind-Body promlem? Daniel Dennett

Posted by in category: futurism

Daniel Dennett thinks that the Mind-Body problem has a solution. And moreover it’s not a specific or \.

May 28, 2024

A Huge Cosmology Problem Might Just Have Disappeared

Posted by in categories: computing, cosmology, mathematics, open access, physics

Take courses in science, computer science, and mathematics on Brilliant! First 30 days are free and 20% off the annual premium subscription when you use our link ➜ https://brilliant.org/sabine.

The rate at which the universe is currently expanding is known as the Hubble Rate. In recent years, different measurements have given different results for the Hubble rate, a discrepancy between theory and observation that’s been called the “Hubble tension”. Now, a team of astrophysicists claims the Hubble tension is gone and it’s the fault of supernovae data. Let’s have a look.

Continue reading “A Huge Cosmology Problem Might Just Have Disappeared” »

May 28, 2024

Progress in direct measurements of the Hubble constant

Posted by in category: futurism

Paper on the hubble tension.


Wendy L. Freedman and Barry F. Madore JCAP11(2023)050 DOI 10.1088÷1475−7516÷2023÷11÷050

May 28, 2024

How to Put a Data Center in a Shoebox

Posted by in categories: materials, supercomputing

One way to manage the unsustainable energy requirements of the computing sector is to fundamentally change the way we compute. Superconductors could let us do just that.

Superconductors offer the possibility of drastically lowering energy consumption because they do not dissipate energy when passing current. True, superconductors work only at cryogenic temperatures, requiring some cooling overhead. But in exchange, they offer virtually zero-resistance interconnects, digital logic built on ultrashort pulses that require minimal energy, and the capacity for incredible computing density due to easy 3D chip stacking.

Are the advantages enough to overcome the cost of cryogenic cooling? Our work suggests they most certainly are. As the scale of computing resources gets larger, the marginal cost of the cooling overhead gets smaller. Our research shows that starting at around 10 16 floating-point operations per second (tens of petaflops) the superconducting computer handily becomes more power efficient than its classical cousin. This is exactly the scale of typical high-performance computers today, so the time for a superconducting supercomputer is now.

May 28, 2024

The Higgs boson’s most captivating puzzle still remains

Posted by in category: particle physics

Predicted way back in the 1960s, the discovery of the Higgs boson in 2012 completed the Standard Model. Here’s why it remains fascinating.

May 28, 2024

Boson sampler uses atoms rather than photons

Posted by in categories: evolution, particle physics, quantum physics

System charts the evolution of complex quantum states.

May 28, 2024

The dangerous illusion of AI consciousness

Posted by in category: robotics/AI

The illusion of AI consciousness: why gpt-4o and other chatbots are not conscious.

• Shannon Vallor, an AI expert and contributor to DeepMind, discusses the latest developments in generative AI, particularly OpenAI’s GPT-4o model, and warns of the dangers of the illusion of artificial consciousness.

Continue reading “The dangerous illusion of AI consciousness” »

May 28, 2024

OpenAI Says It Has Started Training GPT-4 Successor — Here’s What We Know

Posted by in category: robotics/AI

OpenAI’s “next frontier model” is expected to replace the GPT-4 model powering ChatGPT.

May 28, 2024

How NASA’s Roman Mission will Hunt for Primordial Black Holes

Posted by in categories: cosmology, particle physics

Astronomers have discovered black holes ranging from a few times the sun’s mass to tens of billions. Now a group of scientists has predicted that NASA’s Nancy Grace Roman Space Telescope could find a class of “featherweight” black holes that has so far eluded detection.

Today, black holes form either when a massive star collapses or when heavy objects merge. However, scientists suspect that smaller “primordial” black holes, including some with masses similar to Earth’s, could have formed in the first chaotic moments of the early universe.

“Detecting a population of Earth-mass primordial black holes would be an incredible step for both astronomy and particle physics because these objects can’t be formed by any known physical process,” said William DeRocco, a postdoctoral researcher at the University of California Santa Cruz who led a study about how Roman could reveal them.

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