Lifeboat Foundation

Cornell University researchers have recorded the highest-resolution image of atoms ever.

Amazon has launched a new secrets detection feature that automatically finds private system credentials “hidden” in public source code.

A technique that reversibly bundles tagged cargo into artificial membraneless compartments gives scientists the ability to switch cell processes on and off.

Virtual environments have also shown promise for activists resisting digital authoritarianism. On Minecraft, Reporters Without Borders has sponsored an Uncensored Library where users could see content by dissident writers that had been censored in countries like Saudi Arabia, Russia and Vietnam. It’s possible that the metaverse may bring new promise for freedom and transparency across borders.

But the metaverse’s consequences may be even more radical.

If it becomes as all-encompassing as some predict, the metaverse may foster virtual communities, networks and economies that transcend borders and national identities. Individuals might one day identify primarily with metaverse-based decentralized autonomous organizations with their own quasi-foreign policies. Such a transition could mandate the reconceptualization of geopolitical affairs from the ground up.

A gene editing technique may prevent the slaughter of animals not needed by the livestock industry.

Forget about Mark Zuckerberg, Facebook and all the talk about a metaverse. The real future will be a world that is convenient and scary and fantastical — at least according to futurologists. As this year ends, here’s a glimpse at what life might be like … one day.

Facial recognition is already common for phones, but “In 30 years it’s quite possible that you will not use a key or even a credit card. You’ll use your face or iris to make purchases and open locks. Recognition will be that good,” said Martin Ford, author of “Rule of the Robots: How Artificial Intelligence will Transform Everything.”

“The scary thing, though, will be if someone hacks your biometric data. Right now you can call the bank to change your pin or cancel a credit card. But you can’t cancel your biometrics.”

We can add suggesting and proving mathematical theorems to the long list of what artificial intelligence is capable of: Mathematicians and AI experts have teamed up to demonstrate how machine learning can open up new avenues to explore in the field.

While mathematicians have been using computers to discover patterns for decades, the increasing power of machine learning means that these networks can work through huge swathes of data and identify patterns that haven’t been spotted before.

In a newly published study, a research team used artificial intelligence systems developed by DeepMind, the same company that has been deploying AI to solve tricky biology problems and improve the accuracy of weather forecasts, to unknot some long-standing math problems.

Ben Goertzel, founder of SingularityNET, sits down with Cryptographic Asset founder Justin O’Connell to discuss the crypto singularity at CoinAgenda 2021 in Las Vegas, Nevada at The New York, New York Hotel & Casino.

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Graphene consists of a planar structure, with carbon atoms connected in a hexagonal shape that resembles a beehive. When graphene is reduced to several nanometers (nm) in size, it becomes a graphene quantum dot that exhibits fluorescent and semiconductor properties. Graphene quantum dots can be used in various applications as a novel material, including display screens, solar cells, secondary batteries, bioimaging, lighting, photocatalysis, and sensors. Interest in graphene quantum dots is growing, because recent research has demonstrated that controlling the proportion of heteroatoms (such as nitrogen, sulfur, and phosphorous) within the carbon structures of certain materials enhances their optical, electrical, and catalytic properties.