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Within the human brain, neurons perform complex calculations on information they receive. Researchers at MIT have now demonstrated how dendrites—branch-like extensions that protrude from neurons—help to perform those computations.

The researchers found that within a single neuron, different types of dendrites receive input from distinct parts of the brain, and process it in different ways. These differences may help neurons to integrate a variety of inputs and generate an appropriate response, the researchers say.

In the neurons that the researchers examined in this study, it appears that this dendritic processing helps cells to take in visual information and combine it with motor feedback, in a circuit that is involved in navigation and planning movement.

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In a paper published by Science, DeepMind demonstrates how neural networks can improve approximation of the Density Functional (a method used to describe electron interactions in chemical systems). This illustrates deep learning’s promise in accurately simulating matter at the quantum mechanical.

In a paper published in the scientific journal Science, DeepMind demonstrates how neural networks can be used to describe electron interactions in chemical systems more accurately than existing methods.

Density Functional Theory, established in the 1960s, describes the mapping between electron density and interaction energy. For more than 50 years, the exact nature of mapping between electron density and interaction energy — the so-called density functional — has remained unknown. In a significant advancement for the field, DeepMind has shown that neural networks can be used to build a more accurate map of the density and interaction between electrons than was previously attainable.

By expressing the functional as a neural network and incorporating exact properties into the training data, DeepMind was able to train the model to learn functionals free from two important systematic errors — the delocalization error and spin symmetry breaking — resulting in a better description of a broad class of chemical reactions.

Continue reading “DeepMind Simulates Matter on the Nanoscale With Artificial Intelligence” | >

While it’s difficult to put something as vast, conceptual, and, frankly still emerging as the metaverse in quantifiable terms, Jon Radoff breaks it down logically and thoroughly.

When it comes to describing the metaverse, definitions and opinions abound. And while it’s difficult to put something as vast, conceptual, and, frankly, still emerging as the metaverse into quantifiable terms, Jon Radoff, entrepreneur, author and game designer, breaks it down logically and thoroughly in Measuring the Metaverse. He moves up the value chain from infrastructure at the bottom to experience at the top, stopping at human interface, decentralization, spatial computing, creator economy, and discovery along the way.

A common framework is necessary in Radoff’s view of the metaverse. He writes, “And while there will be many proprietary (and very fun) theme parks in the metaverse, I’m even more excited by the opportunity in the Switzerlands: a metaverse powered by a robust creator-economy enabled through decentralization.”

This, of course, isn’t the first seven-layer model to lay out a critical framework. The IT world has long adhered to the seven layers of the OSI Model to organize networking functions into a universal set of rules and requirements to support interoperability among different products and software. Perhaps Radoff’s seven-layer model will become a similar conceptual framework for the metaverse.

Continue reading “Understanding the 7 layers of the metaverse” | >

Before the pandemic started (ah, those glorious days…) a collective panic was mounting over automation and robots gradually replacing workers in various fields, or “stealing our jobs,” as the common refrain went. These worries haven’t subsided two years later, but they’re being countered by severe and largely unexpected labor shortages across multiple sectors of the economy. One of the industries that’s struggling most is restaurants. While we may still encounter automation-related unemployment problems down the road, right now it seems robots are lending a much-needed hand in food service.

One of these robots is none other than Flippy, initially debuted in 2017 to flip burgers at a California fast food chain. Since then Miso Robotics, Flippy’s maker, has expanded the bot’s capabilities, creating a version that can cook chicken wings, fries, and other greasy delights. This week also brought a significant expansion to Flippy’s presence as White Castle announced plans to install the robot at more than 100 restaurants this year.

White Castle was the first restaurant chain to significantly invest in Flippy, piloting the robotic assistant in 2020. The chain gave feedback about the robot to Miso, and the company put out a second iteration called Flippy 2 last November. This new robot can independently do the work of an entire fry station: its AI-enabled vision identifies foods, picks them up, and cooks them in fry baskets designated for that food specifically. The bot then moves cooked items to a hot-holding area.

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WASHINGTON, Feb 17 (Reuters) — A single activist helped turn the tide against NSO Group, one of the world’s most sophisticated spyware companies now facing a cascade of legal action and scrutiny in Washington over damaging new allegations that its software was used to hack government officials and dissidents around the world.

It all started with a software glitch on her iPhone.

An unusual error in NSO’s spyware allowed Saudi women’s rights activist Loujain al-Hathloul and privacy researchers to discover a trove of evidence suggesting the Israeli spyware maker had helped hack her iPhone, according to six people involved in the incident. A mysterious fake image file within her phone, mistakenly left behind by the spyware, tipped off security researchers.

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Most energy-producing technologies used today are unsustainable, as they cause significant damage to our planet’s natural environment. In recent years, scientists worldwide have thus been trying to devise alternative energy solutions that take advantage of abundant and natural resources.

In addition to , wind and seawater energy solutions, some physicists and engineers have been exploring the possibility of sourcing energy from nuclear reactions. This is the process through which two atomic nuclei combine to form a heavier nucleus and an energetic neutron.

Two research teams working at the Lawrence Livermore National Laboratory’s (LLNL) National Ignition Facility (NIF) demonstrated new approaches to increase nuclear energy production via a laser-driven . Their findings, published in recent Nature and Nature Physics papers, open new exciting possibilities for one day using self-heating plasmas as sustainable energy sources.

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Scientists have uncovered a set of neurons in fruit flies that shut down in cold temperatures and slow reproduction, a system conserved in many insects, including mosquitoes, which could provide a target for pest control.

Their study, published Feb. 16 in the journal Current Biology, takes a step toward understanding how a fly’s brain contributes to sensing the cold and limiting . Insects and animals, including many mammals, curb reproduction in the winter to protect their newborns from being exposed to harsh winter conditions.

The study has and agricultural implications, as tapping into environmentally-dependent mechanisms that influence reproduction in and crop pests may offer new control strategies. Mosquitoes act as reservoirs for the malaria-causing Plasmodium falciparum parasite, which spend the winter inside them.

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Northwestern University synthetic biologists have developed a low-cost, easy-to-use, hand-held device that can let users know—within mere minutes—if their water is safe to drink.

The new device works by using powerful and programmable genetic networks, which mimic , to perform a range of logic functions.

Among the DNA-based circuits, for example, the researchers engineered cell-free molecules into an analog-to-digital converter (ADC), a ubiquitous circuit type found in nearly all electronic devices. In the -quality device, the ADC circuit processes an analog input (contaminants) and generates a digital output (a visual signal to inform the user).

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