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A mathematical model shows how increased intricacy of cognitive tasks can break the mirror symmetry of the brain’s neural network.

The neural networks of animal brains are partly mirror symmetric, with asymmetries thought to be more common in more cognitively advanced species. This assumption stems from a long-standing theory that increased complexity of neural tasks can turn mirror-symmetric neural circuits into circuits existing in only one side of the brain. This hypothesis has now received support from a mathematical model developed by Luís Seoane at the National Center for Biotechnology in Spain [1]. The researcher’s findings could help explain how the brain’s architecture is shaped not only by cognitively demanding tasks but also by damage or aging.

A mirror-symmetric neural network is useful when controlling body parts that are themselves mirror symmetric, such as arms and legs. Moreover, the presence of duplicate circuits on each side of the brain can help increase computing accuracy and offer a replacement circuit if one becomes faulty. However, the redundancy created by such duplication can lead to increased energy consumption. This trade-off raises an important question: Does the optimal degree of mirror symmetry depend on the complexity of the cognitive tasks performed by the neural network?

Neutrinos, the tricky little particles that just stream through the Universe like it’s virtually nothing, may actually interact with light after all.

According to new calculations, interactions between neutrinos and photons can take place in powerful magnetic fields that can be found in the plasma wrapped around stars.

It’s a discovery that could help us understand why the Sun’s atmosphere is so much hotter than its surface, say Hokkaido University physicist Kenzo Ishikawa and Yutaka Tobita, a physicist from Hokkaido University of Science – and, of course, to study the mysterious ghost particle in greater detail.

The curvature of space-time around a colossal mass has yielded the most detailed measurement of the cosmic distribution of dark matter yet.

Aided by a gravitational lens, a team led by cosmologist Kaiki Taro Inoue of Kindai University in Japan has mapped the mysterious form of matter on the smallest scale we’ve ever seen, with a resolution of just 30,000 light-years.

That might seem large, but when you consider that the Milky Way is about 100,000 light-years across, it’s more impressive. The researchers have been able to map something we can’t even see down to a scale less than a third of the size of our galaxy, across more than 7.5 billion light-years. That’s amazing.

A team of researchers, led by a University of Hawai’i (UH) at Manoa planetary scientist, discovered that high energy electrons in Earth’s plasma sheet are contributing to weathering processes on the Moon’s surface and, importantly, the electrons may have aided the formation of water on the lunar surface. The study was published today in Nature Astronomy.

Understanding the concentrations and distributions of water on the Moon is critical to understanding its formation and evolution, and to providing water resources for future human exploration. The new discovery may also help explain the origin of the water ice previously discovered in the lunar permanently shaded regions.

Due to Earth’s magnetism, there is a force field surrounding the planet, referred to as the magnetosphere, that protects Earth from space weathering and damaging radiation from the Sun. Solar wind pushes the magnetosphere and reshapes it, making a long tail on the night side. The plasma sheet within this magnetotail is a region consisting of high energy electrons and ions that may be sourced from Earth and the solar wind.

Meta, better known to most of us as Facebook, has released a commercial version of Llama-v2, its open-source large language model (LLM) that uses artificial intelligence (AI) to generate text, images, and code.

The first version of the Large Language Model Meta AI (Llama), was publicly announced in February and was restricted to approved researchers and organizations. However, it was soon leaked online in early March for anyone to download and use.

-I dislike Meta because of how I am personally treated by Meta, not because Zuck bought something. However that dislike will not deter my objectivity in posting what Meta is doing, as I support the opensource movement.

Continue reading “Meta releases big, new open-source AI large language model” »

Designed to manoeuvre the smallest classes of satellite, the operation of this Iridium Catalysed Electrolysis CubeSat Thruster (ICE-Cube Thruster) developed with Imperial College in the UK is based on electrolysis.

This tiny fingernail-length space thruster chip runs on the greenest propellant of all: water.

Avoiding any need for bulky gaseous propellant storage, an associated electrolyser runs a 20-watt current through water to produce hydrogen and oxygen to propel the thruster.

Meta Platforms is working on a new artificial-intelligence system intended to be as powerful as the most advanced model offered by OpenAI, the Wall Street Journal reported on Sunday, citing people familiar with the matter.

The Facebook parent is aiming for its new AI model to be ready next year, the Journal said, adding it will be several times more powerful than its commercial version dubbed Llama 2.

Llama 2 is Meta’s open source AI language model launched in July, and distributed by Microsoft’s cloud Azure services to compete with OpenAI’s ChatGPT and Google’s Bard.

Telesurgery or remote surgery is an emerging surgical tool that utilizes is both robotic technology and wireless networking to connect patients and surgeons.

According to recent research published in the Journal of Experimental Medicine, equipping cancer-infecting viruses with tumor-inhibiting genetic cargo boosts the immune system and supports immunotherapy in reducing or totally eradicating aggressive tumours in mice. The findings pave the path for clinical studies combining oncolytic viruses with immunotherapy.

The study states that cancer-infecting viruses can boost immunity of the body and support immunotherapy.