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Rob Barnett, a senior clean energy analyst for Bloomberg, forecasts a 30% increase in global PV deployment this year, and double-digit growth through 2025.

Demand is pushing solar growth across the world to new heights, as Bloomberg senior analyst Rob Barnett forecasts deployment to increase by 30% this year. Total global solar deployment is closing in on 1 TW installed – an impressive milestone for the energy transition.

“The global solar picture is just staggering at this point,” Barnett told Yahoo Finance. “We are on track to install something like 250 GW of solar capacity this year.”

China is contributing the largest share to capacity growth this year, with about 108 GW of new operational PV. This is a near-doubling of the roughly 55 GW installed by China last year. The country has the world’s largest exposure to renewable energy, with 323 GW of solar and 338 GW of wind energy. President Xi Jinping aims for 1,200 GW combined by 2030, and the nation is currently ahead of schedule on that goal, said Bloomberg.

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Researchers at Oxford University’s Department of Materials, working in collaboration with colleagues from Exeter and Munster, have developed an on-chip optical processor capable of detecting similarities in datasets up to 1,000 times faster than conventional machine learning algorithms running on electronic processors.

The new research published in Optica took its inspiration from Nobel Prize laureate Ivan Pavlov’s discovery of classical conditioning. In his experiments, Pavlov found that by providing another stimulus during feeding, such as the sound of a bell or metronome, his dogs began to link the two experiences and would salivate at the sound alone. The repeated associations of two unrelated events paired together could produce a learned response—a conditional reflex.

Co-first author Dr. James Tan You Sian, who did this work as part of his DPhil in the Department of Materials, University of Oxford, said, “Pavlovian associative learning is regarded as a basic form of learning that shapes the behavior of humans and animals—but adoption in AI systems is largely unheard of. Our research on Pavlovian learning in tandem with optical parallel processing demonstrates the exciting potential for a variety of AI tasks.”

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What remains are mostly neutron stars or black holes. And now, Hubble seems to have documented the instant when a supernova blinked out — implying that it captured the moment a black hole took control.

While some supernova explosions, such as SN 1,054, are violent and leave clouds of debris for thousands of years (a.k.a. nebula), the star in question seems to have exploded and then had all its gas pulled back into the black hole at the core. This may occur if the star’s core collapse is very big. Rather than exploding, the gas falls into the star’s core.

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India is a developing country where Robotics is still lagging because of the lack of availability of Robotics components, 3D printed parts and suitable quality motors. The science of Robotics requires a high-end technology to be implemented by researchers or Robotics scientists.

Despite all these, if a teacher (not a Robotics Scientist) can do something in the field and able to develop a prototype that is comparable with the Robots developed by big facilitated and resourceful companies with the help of their best engineers on a huge budget, then the person deserves the appreciation.

A computer science teacher in Kendriya Vidyalaya, IIT Bombay, Dinesh Kunwar Patel has developed the world’s first social and educational humanoid Robot ‘Shalu’ that can speak 47 languages, including 9 Indian and 38 foreign languages. The homemade Robot ‘Shalu’ is made of waste materials, including cardboard, wood, and aluminium.

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Scientists may have just tracked down the source of some mysterious infrared glows detected emanating from stars and clouds of interstellar dust and gas.

These Unidentified Infrared Emission (UIE) bands have baffled scientists for decades; according to a theoretical new work, at least some of these bands can be produced by highly ionized buckminsterfullerene, more commonly known as buckyballs.

“I am extremely honored to have played a part in the astonishingly complex quantum chemistry investigations undertaken by Dr Sadjadi that have led to these very exciting results,” said astrophysicist Quentin Parker of Hong Kong University’s Laboratory for Space Research.

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AI Dungeon project first became available in December 2019 and attracted attention due to its advanced artificial intelligence — it generated coherent text adventures, where you could perform any action by typing it in the input window. Now AI Dungeon has appeared on Steam.

The gameplay looks like 1970s text quests: you’re told what’s going on, and you write what you’re going to do. But while the 1970s quests only accepted tightly constrained answers, AI Dungeon tries to adjust by all means what you type in. You only have to specify the type of input: action, word, or event.

AI Dungeon also allows you to generate a world, fill it with details of your choice, or dive into the worlds of other players. In addition, you can control the progress of an incident: force II to create a paragraph again or even rewrite it completely by hand. Occurrences allow you to go through with your friends.

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Circa 2019

Scientists have identified two proteins that can partially stimulate growth in amputated toes in mice, a discovery that puts us one step closer to one day being able to replace amputated limbs in humans.

While bone growth has been achieved before, the new research demonstrates signs of joint growth as well — this shows a level of complexity we haven’t seen before. Both joints and bones are crucial if one is trying to bring back lost limbs.

Having previously regenerated bone in mice using the BMP2 protein, here the scientists added another to the mix: BMP9. When using the combination on mice with amputated toes, over 60 percent of the stump bones formed a layer of cartilage within three days. Without the proteins, the amputated toes would’ve healed over as normal.

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