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Category: blockchains – Page 11

On Monday, hackers exploited a basic vulnerability in the code of Nomad — a crypto “bridge” that allows customers to transfer cryptocurrencies between different blockchains — getting away with roughly $190 million in user investments, CNBC reports.

This hack is just the latest in a string of attacks on crypto bridges, platforms that, according to CNBC, have collectively lost more than $1 billion to hackers in 2022 alone.

Given that Nomad markets itself as a “secure” platform, the company definitely has a lot of explaining to do.

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Colombia’s government has launched a partnership with Ripple Labs, the company behind the cryptocurrency XRP, to put land titles on the blockchain, part of a plan to rectify land distribution efforts so unfair they’ve led to decades of armed conflict.

The project, built by blockchain development company Peersyst Technology and Ripple, will permanently store and authenticate property titles on Ripple’s Ledger—its public blockchain.

This will help eliminate bureaucracy and hopefully make land distribution more equal, Ripple Labs and Peersyst Technology told Decrypt.

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The field of Artificial Intelligence was founded in the mid 1950s with the aim of constructing “thinking machines” — that is to say, computer systems with human-like general intelligence. Think of humanoid robots that not only look but act and think with intelligence equal to and ultimately greater than that of human beings. But in the intervening years, the field has drifted far from its ambitious old-fashioned roots.

Dr. Ben Goertzel is an artificial intelligence researcher, CEO and founder of SingularityNET. A project combining artificial intelligence and blockchain to democratize access to artificial intelligence. Ben seeks to fulfil the original ambitions of the field. Ben graduated with a PhD in Mathematics from Temple University in 1990. Ben’s approach to AGI over many decades now has been inspired by many disciplines, but in particular from human cognitive psychology and computer science perspective. To date Ben’s work has been mostly theoretically-driven. Ben thinks that most of the deep learning approaches to AGI today try to model the brain. They may have a loose analogy to human neuroscience but they have not tried to derive the details of an AGI architecture from an overall conception of what a mind is. Ben thinks that what matters for creating human-level (or greater) intelligence is having the right information processing architecture, not the underlying mechanics via which the architecture is implemented.

Ben thinks that there is a certain set of key cognitive processes and interactions that AGI systems must implement explicitly such as; working and long-term memory, deliberative and reactive processing, perc biological systems tend to be messy, complex and integrative; searching for a single “algorithm of general intelligence” is an inappropriate attempt to project the aesthetics of physics or theoretical computer science into a qualitatively different domain.

Continue reading “#58 Dr. Ben Goertzel — Artificial General Intelligence” | >

The U.S. Department of Justice seized roughly $500,000 in ransom payments that a medical center in Kansas paid to North Korean hackers last year, along with cryptocurrency used to launder the payments, Deputy Attorney General Lisa Monaco said Tuesday.

The hospital quickly paid the attackers, but also notified the FBI, “which was the right thing to do for both themselves and for future victims,” Monaco said in a speech at the International Conference on Cyber Security at Fordham University in New York City.

The notification enabled the FBI to trace the payment through the blockchain, an immutable public record of cryptocurrency transactions.

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The architecture and evolution of planetary systems are shaped in part by stellar flybys. Within this context, we look at stellar encounters which are too weak to immediately destabilize a planetary system but are nevertheless strong enough to measurably perturb the system’s dynamical state. We estimate the strength of such perturbations on secularly evolving systems using a simple analytic model and confirm those estimates with direct N-body simulations. We then run long-term integrations and show that even small perturbations from stellar flybys can influence the stability of planetary systems over their lifetime. We find that small perturbations to the outer planets’ orbits are transferred between planets, increasing the likelihood that the inner planetary system will destabilize.

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Blockchain is a digital technology that allows a secure and decentralized record of transactions that is increasingly used for everything from cryptocurrencies to artwork. But Yale researchers have found a new use for blockchain: they’ve leveraged the technology to give individuals control of their own genomes.

Their findings are published June 29 in the journal Genome Biology.

“Our primary goal is to give ownership of genomic data back to the individual,” said senior author Mark Gerstein, the Albert L. Williams Professor of Biomedical Informatics and professor of molecular biophysics and biochemistry, of computer science, and of statistics and .

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In forthcoming years, everyone will get to observe how beautifully Metaverse will evolve towards immersive experiences in hyperreal virtual environments filled with avatars that look and sound exactly like us. Neil Stephenson’s Snow Crash describes a vast world full of amusement parks, houses, entertainment complexes, and worlds within themselves all connected by a virtual street tens of thousands of miles long. For those who are still not familiar with the metaverse, it is a virtual world in which users can put on virtual reality goggles and navigate a stylized version of themselves, known as an avatar, via virtual workplaces, and entertainment venues, and other activities. The metaverse will be an immersive version of the internet with interactive features using different technologies such as virtual reality (VR), augmented reality (AR), 3D graphics, 5G, hologram, NFT, blockchain, haptic sensors, and artificial intelligence (AI). To scale personalized content experiences to billions of people, one potential answer is generative AI, the process of using AI algorithms on existing data to create new content.

In computing, procedural generation is a method of creating data algorithmically as opposed to manually, typically through a combination of human-generated assets and algorithms coupled with computer-generated randomness and processing power. In computer graphics, it is commonly used to create textures and 3D models.

The algorithmic difficulty is typically seen in Diablo-style RPGs and some roguelikes which use instancing of in-game entities to create randomized items. Less frequently it can be used to determine the relative difficulty of hand-designed content to be subsequently placed procedurally, as can be seen with the monster design in Unangband. For example, the designer can rapidly create content, but leaves it up to the game to determine how challenging that content is to overcome, and consequently where in the procedurally generated environment this content will appear. Notably, the Touhou series of bullet hell shooters use algorithmic difficulty. Though the users are only allowed to choose certain difficulty values, several community mods enable ramping the difficulty beyond the offered values.

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