AI artist Botto has just made over a million dollars for NFTs of its work.
Botto, which works in collaboration with a human community, hit the million dollar mark within five weeks of putting a batch of NFT-backed artwork up for auction, Euronews reported.
The haul elevates the AI artist into a small-but-growing cohort of synthetic creators, and the designer behind Botto, German artist Mario Klingemann, told Euronews that he believes Botto’s practice could eventually extend to books and music.
Alethea AI and BeingAI are collaborating with the Binance NFT marketplace to introduce the AI game characters that are based on nonfungible tokens (NFTs).
Alethea AI creates smart avatars who use AI to hold conversations with people, and it has launched its own NFT collectible AI characters. NFTs use the transparency and security of the digital ledger of blockchain to authenticate unique digital items. The companies see this as the underlying AI infrastructure for iNTFs, or intelligent nonfungible tokens, on the path to the metaverse, the universe of virtual worlds that are all interconnected, like in novels such as Snow Crash and Ready Player One.
Being AI, meanwhile, is on a quest to create AI characters who can interact and talk in real time with users. Both companies are working with the NFT marketplace of Binance to launch intelligent IGO (Initial Game Offering), featuring a hundred intelligent NFTs characters.
A Canadian biotech firm is reporting positive results from a large study of its COVID-19 vaccine. What makes it unusual is that the key ingredient of the vaccine is grown in plants. Medicago has already developed an experimental flu vaccine in Nicotiana benthamian, a plant related to tobacco. When the pandemic struck, the company decided to try to make a COVID-19 vaccine.
Now it appears those efforts have succeeded. “This is an incredible moment for Medicago and for novel vaccine platforms,” Medicago CEO and President Takashi Nagao said in a statement.
A COVID-19 vaccine from a Canadian biotech firm has been found effective at preventing moderate to severe disease. It could soon become the first plant-based vaccine authorized for human use.
Coherent light generation from ultrathin semiconductor crystals paves the way for creating novel nanolasers and valleytronic devices.
The double-helix structure has practically become synonymous with DNA, but it isn’t the only way long strands of genetic information squeeze themselves into a tight space.
When a double-strand of DNA doubles back on itself or attaches to another double-strand, it can actually create a quadruple-stranded knot, known as a G-quadruplex.
Scientists first discovered these ‘double-double-helixes’ in living human cells in 2013, and in the years since, these knots have been found in high concentrations in cancerous cells.
Warp drive pioneer Dr. Harold G “Sonny” White has reported the successful manifestation of an actual, real-world “Warp Bubble.”
Warp drive pioneer and former NASA warp drive specialist Dr. Harold G “Sonny” White has reported the successful manifestation of an actual, real-world “Warp Bubble.” And, according to White, this first of its kind breakthrough by his Limitless Space Institute (LSI) team sets a new starting point for those trying to manufacture a full-sized, warp-capable spacecraft.
“To be clear, our finding is not a warp bubble analog, it is a real, albeit humble and tiny, warp bubble,” White told The Debrief, quickly dispensing with the notion that this is anything other than the creation of an actual, real-world warp bubble. “Hence the significance.”
In 1994, Mexican Mathematician Miguel Alcubierre proposed the first mathematically valid solution to the warp drive. More specifically, he outlined a spacecraft propulsion system previously only envisioned in science fiction that can traverse the cosmos above the speed of light without violating currently accepted laws of physics.
Humans are pretty good at looking at a single two-dimensional image and understanding the full three-dimensional scene that it captures. Artificial intelligence agents are not.
Yet a machine that needs to interact with objects in the world—like a robot designed to harvest crops or assist with surgery—must be able to infer properties about a 3D scene from observations of the 2D images it’s trained on.
While scientists have had success using neural networks to infer representations of 3D scenes from images, these machine learning methods aren’t fast enough to make them feasible for many real-world applications.
Posted in entertainment, information science, robotics/AI
Games have a long history of serving as a benchmark for progress in artificial intelligence. Recently, approaches using search and learning have shown strong performance across a set of perfect information games, and approaches using game-theoretic reasoning and learning have shown strong performance for specific imperfect information poker variants. We introduce, a general-purpose algorithm that unifies previous approaches, combining guided search, self-play… See more.
Games have a long history of serving as a benchmark for progress in.
Artificial intelligence. Recently, approaches using search and learning have.
Shown strong performance across a set of perfect information games, and.
The idiom “actions speak louder than words” first appeared in print almost 300 years ago. A new study echoes this view, arguing that combining self-supervised and offline reinforcement learning (RL) could lead to a new class of algorithms that understand the world through actions and enable scalable representation learning.
Machine learning (ML) systems have achieved outstanding performance in domains ranging from computer vision to speech recognition and natural language processing, yet still struggle to match the flexibility and generality of human reasoning. This has led ML researchers to search for the “missing ingredient” that might boost these systems’ ability to understand, reason and generalize.
In the paper Understanding the World Through Action, UC Berkeley assistant professor in the department of electrical engineering and computer sciences Sergey Levine suggests that a general, principled, and powerful framework for utilizing unlabelled data could be derived from RL to enable ML systems leveraging large datasets to better understand the real world.
A huge asteroid the size of the Eiffel Tower is approaching our planet. The asteroid is named 4,660 Nereus and has been flagged ‘Potentially Hazardous’ by NASA. Nereus is 330 meters long and will break into Earth’s orbit on Saturday, December 11. The colossal asteroid is traveling at 23,700 km/h towards our planet.
On December 11, the asteroid will make its closest approach to Earth. It will come within 3.86 million km, about ten times the distance between Earth and the Moon. Although it sounds like an enormous gap on cosmic scales, it is actually a stone’s throw away.
How to watch comet Leonard: https://bit.ly/3xYv2Od
