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Archive for the ‘biological’ category: Page 46

May 3, 2023

Neural networks on photonic chips: Harnessing light for ultra-fast and low-power artificial intelligence

Posted by in categories: augmented reality, biological, genetics, robotics/AI

Neural networks are distributed computing structures inspired by the structure of a biological brain and aim to achieve cognitive performance comparable to that of humans but in a much shorter time.

These technologies now form the basis of machine learning and that can perceive the environment and adapt their own behavior by analyzing the effects of previous actions and working autonomously. They are used in many areas of application, such as speech and image recognition and synthesis, autonomous driving and augmented reality systems, bioinformatics, genetic and molecular sequencing, and high-performance computing technologies.

Compared to conventional computing approaches, in order to perform complex functions, neural networks need to be initially “trained” with a large amount of known information that the network then uses to adapt by learning from experience. Training is an extremely energy-intensive process and as computing power increases, the neural networks’ consumption grows very rapidly, doubling every six months or so.

May 2, 2023

Bio-nano approach flips artificial photosynthesis for hydrogen on its head

Posted by in categories: biological, nanotechnology, solar power, sustainability

An artificial photosynthesis system that combines semiconducting nanoparticles with a non-photosynthetic bacterium could offer a promising new route for producing sustainable solar-driven hydrogen fuel.

Other artificial photosynthesis systems that integrate nanomaterials into living microbes have been developed before, which reduce carbon dioxide or produce hydrogen, for example. However, usually it is the microorganism itself that makes the product via a metabolic pathway, which is aided by a light-activated nanomaterial that supplies necessary electrons.

Now, the labs of Kara Bren and Todd Krauss at the University of Rochester, US, have turned this concept on its head. They have designed a new hybrid bio-nano system that combines a finely-tuned photocatalytic semiconducting nanoparticles to make hydrogen with a bacterium which, while it does not photosynthesise or make hydrogen itself, it provides the necessary electrons to the nanomaterial to synthesise hydrogen.

Apr 30, 2023

Nature’s Hidden Code: The Surprising Universality of Computation

Posted by in categories: biological, computing, physics

Universal computation has significant real-world implications in fields such as computer science, physics, biology, and beyond. It is highly relevant to simulation metaphysics and its idea that the physical world could be a type of computer simulation.

Apr 29, 2023

The Neuroscience of Real Life Monsters: Psychopaths, CEOs, & Politicians (Science on Tap Livestream)

Posted by in categories: biological, ethics, genetics, neuroscience, science

Why do some people live lawful lives, while others gravitate toward repeated criminal behavior? Do people choose to be moral or immoral, or is morality simply a genetically inherited function of the brain? Research suggests that psychopathy as a biological condition explained by defective neural circuits that mediate empathy, but what does that mean when neuroscience is used as evidence in criminal court? How can understanding neuroscience give us an insight into the actions and behaviors of our political leaders?

Forensic psychiatrist Dr. Octavio Choi https://med.stanford.edu/profiles/ochoi will explore how emerging neuroscience challenges long-held assumptions underlying the basis—and punishment—of criminal behavior.

Continue reading “The Neuroscience of Real Life Monsters: Psychopaths, CEOs, & Politicians (Science on Tap Livestream)” »

Apr 29, 2023

Structured exploration allows biological brains to learn faster than AI, suggests study

Posted by in categories: biological, neuroscience, robotics/AI

Neuroscientists have uncovered how exploratory actions enable animals to learn their spatial environment more efficiently. Their findings could help build better AI agents that can learn faster and require less experience.

Researchers at the Sainsbury Wellcome Center and Gatsby Computational Neuroscience Unit at UCL found the instinctual exploratory runs that animals carry out are not random. These purposeful actions allow mice to learn a map of the world efficiently. The study, published today, April 28, in Neuron, describes how neuroscientists tested their hypothesis that the specific exploratory actions that animals undertake, such as darting quickly towards objects, are important in helping them learn how to navigate their environment.

“There are a lot of theories in psychology about how performing certain actions facilitates learning. In this study, we tested whether simply observing obstacles in an environment was enough to learn about them, or if purposeful, sensory-guided actions help animals build a cognitive map of the world,” said Professor Tiago Branco, Group Leader at the Sainsbury Wellcome Center and corresponding author on the paper.

Apr 27, 2023

WHO: biological hazard brewing in Sudan as fighters overtake a central public health lab

Posted by in category: biological

A fighting faction in Sudan has occupied the country’s main public health lab, putting pathogen collections at risk, the WHO said.

Apr 27, 2023

Neural Nanotechnology: Nanowire Networks Learn and Remember Like a Human Brain

Posted by in categories: biological, nanotechnology, robotics/AI

Scientists have demonstrated that nanowire networks can exhibit short-and long-term memory, similar to the human brain. These networks, comprised of highly conductive silver wires covered in plastic and arranged in a mesh-like pattern, mimic the physical structure of the human brain. The team successfully tested the nanowire network’s memory capabilities using a task similar to human psychology experiments. This breakthrough in nanotechnology suggests that non-biological hardware systems could potentially replicate brain-like learning and memory, and has numerous real-world applications, such as improving robotics and sensor devices in unpredictable environments.

In a groundbreaking study, an international team has shown that nanowire networks can mimic the short-and long-term memory functions of the human brain. This breakthrough paves the way for replicating brain-like learning and memory in non-biological systems, with potential applications in robotics and sensor devices.

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Apr 26, 2023

Researchers Took The First Pics Of DEATH — It Is Actually PALE BLUE And Looks Nice

Posted by in categories: biological, existential risks

In today’s well-researched world, death is one of those unknown barriers. It was pursued by British scientists… The color of death is a faint blue.

British scientists got a firsthand look at what it’s like to die. They took a close look at the worm in the experiment. During this stage of passage, cells will perish. It starts a chain reaction that leads to the creature’s extinction and destroys cell connections.

Continue reading “Researchers Took The First Pics Of DEATH — It Is Actually PALE BLUE And Looks Nice” »

Apr 24, 2023

Photonic Time Crystals Amplify Light for Enhanced Communication and Lasers

Posted by in categories: biological, chemistry, physics

Scientists have created two-dimensional photonic time crystals that amplify light, with potential applications in improving wireless communications and laser technology.

Researchers have developed a way to create photonic time crystals and shown that these bizarre, artificial materials amplify the light that shines on them. These findings, described in a paper published in the journal Science Advances.

<em>Science Advances</em> is a peer-reviewed, open-access scientific journal that is published by the American Association for the Advancement of Science (AAAS). It was launched in 2015 and covers a wide range of topics in the natural sciences, including biology, chemistry, earth and environmental sciences, materials science, and physics.

Apr 24, 2023

AI will Not Become Conscious — Rupert Sheldrake

Posted by in categories: biological, food, habitats, robotics/AI

This clip is from the Before Skool Podcast ep. # 4 with Rupert Sheldrake. Full podcast can be accessed here: https://www.youtube.com/watch?v=68fjlUuvOGM&t=3784s.

Rupert Sheldrake, PhD, is a biologist and author best known for his hypothesis of morphic resonance. At Cambridge University he worked in developmental biology as a Fellow of Clare College. He was Principal Plant Physiologist at the International Crops Research Institute for the Semi-Arid Tropics in Hyderabad, India. From 2005 to 2010 he was Director of the Perrott-Warrick project for research on unexplained human and animal abilities, administered by Trinity College, Cambridge. Sheldrake has published a number of books — A New Science of Life (1981), The Presence of the Past (1988), The Rebirth of Nature (1991), Seven Experiments That Could Change the World (1994), Dogs That Know When Their Owners are Coming Home (1999), The Sense of Being Stared At (2003), The Science Delusion (Science Set Free) (2012), Science and Spiritual Practices (2017), Ways of Going Beyond and Why They Work (2019).

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