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In biological evolution, we know that it’s all about the survival of the fittest: organisms that develop genetic traits that allow them to better adapt to their physical environment are more likely to thrive, and thus pass down their winning genes to their offspring.

From the longer-beaked Galapagos Island finches studied by biologist Charles Darwin that enabled them to more effectively snatch insects, to the ability of some humans over others to digest milk, the process of natural selection results in that give some organisms an edge over others.

New research by University of Toronto Mississauga biology assistant professor Alex N. Nguyen Ba adds an important dimension to our understanding of how interact in the evolutionary process.

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A group of 60 scientists called for a moratorium on solar geoengineering last month, including technologies such as stratospheric aerosol injection (SAI). This involves a fleet of aeroplanes releasing aerosol particles – which reflect sunlight back to outer space – into the atmosphere, cooling down the Earth.

SAI might make the sky slightly whiter. But this is the least of our concerns. SAI could pose grave dangers, potentially worse than the warming it seeks to remedy. To understand the risks, we’ve undertaken a risk assessment of this controversial technology.

A cooler Earth means less water would be evaporating from its surfaces into the atmosphere, changing rainfall patterns. This could produce ripple effects across the world’s ecosystems – but the exact nature of these effects depends on how SAI is used. Poor coordination of aerosol release could lead to extreme rainfall in some places and blistering drought in others, further triggering the spread of diseases.

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A team of NASA scientists has spotted strange flashes of light known as “transient luminous events” (TLEs) in the upper atmosphere of Jupiter.

Events like these have never been observed on another world until now — though here on Earth, scientists have observed similar flashes of light that occur far above lightning storms here on Earth, triggered by discharges of electricity in the upper atmosphere.

For a while, astronomers have theorized their existence in Jupiter’s massive, turbulent atmosphere. Thanks to new data collected by the ultraviolet spectrograph instrument (UVS) attached to NASA’s Juno spacecraft, a small space probe that’s been orbiting the gas giant since 2016, the team was finally able to confirm their presence, as detailed in a new paper published in the Journal of Geophysical Research: Planets.

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New Gato AI is ‘generalist agent’ that can carry out a huge range of complex tasks, from stacking blocks to writing poetry.

Human-level artificial intelligence is close to finally being achieved, according to a lead researcher at Google’s DeepMind AI division.

Dr Nando de Freitas said “the game is over” in the decades-long quest to realise artificial general intelligence (AGI) after DeepMind unveiled an AI system capable of completing a wide range of complex tasks, from stacking blocks to writing poetry.

Described as a “generalist agent”, DeepMind’s new Gato AI needs to just be scaled up in order to create an AI capable of rivalling human intelligence, Dr de Freitas said.

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No one likes sitting at a red light. But signalized intersections aren’t just a minor nuisance for drivers; vehicles consume fuel and emit greenhouse gases while waiting for the light to change.

What if motorists could time their trips so they arrive at the intersection when the light is green? While that might be just a lucky break for a human driver, it could be achieved more consistently by an autonomous vehicle that uses artificial intelligence to control its speed.

In a new study, MIT researchers demonstrate a machine-learning approach that can learn to control a fleet of autonomous vehicles as they approach and travel through a signalized intersection in a way that keeps traffic flowing smoothly.

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Try to picture a proton — the tiny, positively charged particle within an atomic nucleus — and you may envision a familiar, textbook diagram: a bundle of billiard balls representing quarks and gluons. From the solid sphere model first proposed by John Dalton in 1,803 to the quantum model put forward by Erwin Schrödinger in 1926, there is a storied timeline of physicists attempting to visualize the invisible.

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There’s a key aspect of quantum computing you may not have thought about before. Called ‘quantum non-demolition measurements’, they refer to observing certain quantum states without destroying them in the process.

If we want to put together a functioning quantum computer, not having it break down every second while calculations are made would obviously be helpful. Now, scientists have described a new technique for recording quantum non-demolition measurements that shows a lot of promise.

In this case, the research involved mechanical quantum systems – objects that are relatively large in quantum computing terms, but exceedingly tiny for us. They use mechanical motion (such as vibration) to handle the necessary quantum magic, and they can be combined with other quantum systems too.

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