Lifeboat Foundation

One of China’s biggest AI solution providers SenseTime is a step closer to its initial public offering. SenseTime has received regulatory approval to list on the Hong Kong Stock Exchange, according to media reports. Founded in 2014, SenseTime was christened as one of China’s four “AI Dragons” alongside Megvii, CloudWalk, and Yitu. In the second half of the 2010s, their algorithms found much demand from businesses and governments hoping to turn real-life data into actionable insights. Cameras embedded with their AI models watch city streets 24 hours. Malls use their sensing solutions to track and predict crowds on the premises.

SenseTime’s three rivals have all mulled plans to sell shares either in mainland China or Hong Kong. Megvii is preparing to list on China’s Nasdaq-style STAR board after its HKEX application lapsed.

The window for China’s data-rich tech firms to list overseas has narrowed. Beijing is making it harder for companies with sensitive data to go public outside China. And regulators in the West are wary of facial recognition companies that could aid mass surveillance.

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Rarely does scientific software spark such sensational headlines. “One of biology’s biggest mysteries ‘largely solved’ by AI”, declared the BBC. Forbes called it “the most important achievement in AI — ever”. The buzz over the November 2020 debut of AlphaFold2, Google DeepMind’s (AI) system for predicting the 3D structure of proteins, has only intensified since the tool was made freely available in July.

The excitement relates to the software’s potential to solve one of biology’s thorniest problems — predicting the functional, folded structure of a protein molecule from its linear amino-acid sequence, right down to the position of each atom in 3D space. The underlying physicochemical rules for how proteins form their 3D structures remain too complicated for humans to parse, so this ‘protein-folding problem’ has remained unsolved for decades.

Researchers have worked out the structures of around 160,000 proteins from all kingdoms of life. They have been using experimental techniques, such as X-ray crystallography and cryo-electron microscopy (cryo-EM), and then depositing their 3D information in the Protein Data Bank. Computational biologists have made steady gains in developing software that complements these methods, and have correctly predicted the 3D shapes of some molecules from well-studied protein families.

After raising $1.4 billion.

Long ago, the writer Edward Albee wrote: “Good, better, best, bested.”

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Coordinated release with China, India, Japan, the U.K. and South Korea seeks to ease gasoline prices, White House says.

New ways to measure the top supercomputers’ smarts in the AI field include searching for dark energy, predicting hurricanes, and finding new materials for energy storage.

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A new analysis of the South Pole-based telescope’s cosmic microwave background observations has all but ruled out several popular models of inflation.

Physicists looking for signs of primordial gravitational waves by sifting through the earliest light in the cosmos – the cosmic microwave background (CMB) – have reported their findings: still nothing.

But far from being a dud, the latest results from the BICEP3 experiment at the South Pole have tightened the bounds on models of cosmic inflation, a process that in theory explains several perplexing features of our universe and which should have produced gravitational waves shortly after the universe began.

𝐌𝐀𝐆𝐈𝐂 𝐌𝐔𝐒𝐇𝐑𝐎𝐎𝐌 𝐒𝐓𝐔𝐃𝐘 𝐒𝐔𝐆𝐆𝐄𝐒𝐓𝐒 𝐏𝐒𝐈𝐋𝐎𝐂𝐘𝐁𝐈𝐍 𝐌𝐀𝐘 𝐑𝐄𝐕𝐄𝐑𝐒𝐄 𝐀𝐋𝐂𝐎𝐇𝐎𝐋-𝐈𝐍𝐃𝐔𝐂𝐄𝐃 𝐁𝐑𝐀𝐈𝐍 𝐃𝐀𝐌𝐀𝐆𝐄

𝘼𝙁𝙏𝙀𝙍 𝙃𝘼𝙇𝙁 𝘼 𝘾𝙀𝙉𝙏𝙐𝙍𝙔 𝙤𝙛 𝙗𝙡𝙤𝙘𝙠𝙨 𝙩𝙤 𝙧𝙚𝙨𝙚𝙖𝙧𝙘𝙝 𝙤𝙣 𝙥𝙨𝙮𝙘𝙝𝙚𝙙𝙚𝙡𝙞𝙘𝙨’ 𝙥𝙤𝙩𝙚𝙣𝙩𝙞𝙖𝙡 𝙛𝙤𝙧 𝙩𝙧𝙚𝙖… See more.

The psychedelic drug psilocybin can restore alcohol-induced damage to the brain’s glutamate receptors — that’s the finding of a new study published in ‘Science Advances.’

And that’s where physicists are getting stuck.

Zooming in to that hidden center involves virtual particles — quantum fluctuations that subtly influence each interaction’s outcome. The fleeting existence of the quark pair above, like many virtual events, is represented by a Feynman diagram with a closed “loop.” Loops confound physicists — they’re black boxes that introduce additional layers of infinite scenarios. To tally the possibilities implied by a loop, theorists must turn to a summing operation known as an integral. These integrals take on monstrous proportions in multi-loop Feynman diagrams, which come into play as researchers march down the line and fold in more complicated virtual interactions.

Physicists have algorithms to compute the probabilities of no-loop and one-loop scenarios, but many two-loop collisions bring computers to their knees. This imposes a ceiling on predictive precision — and on how well physicists can understand what quantum theory says.