Sperax, the DeFi protocol behind USDs, the first auto-yield stablecoin, and creator of SperaxOS, the open-source AI agent ...
AI agent dispute resolution reached a milestone July 10 when GenLayer Foundation led 27 firms in launching Internet Court, a ...
Lowering computational costs in decentralized finance systems using AI-assisted contract development
Researchers have developed a benchmarking framework to assess whether artificial intelligence (AI) can generate decentralized ...
Florida Fish and Wildlife Conservation Commission After 10 days of python hunting in South Florida, Taylor Stanberry, a ...
Prediction markets have quietly become one of the most interesting corners of the tech world. From forecasting elections to predicting sports outcomes and even guessing the next big product launch, ...
Crypto protocols have been urged to reaudit old smart contracts to ensure they’re hardened enough to withstand AI-powered ...
There’s a town in South Carolina where the library card is more powerful than the mayor’s office. McCormick sits in the western reaches of the Palmetto State like a well-kept secret that someone ...
The Federal Aviation Administration (FAA) has awarded Air Space Intelligence (ASI) a 12-year, $875 million contract to build a new airspace-management system designed to reduce congestion and delays ...
NCP is a versioned, transport-agnostic wire contract that lets a running NEST network — point neurons (spiking, binary) and rate-based models — serve external robot, UAV, and analysis clients — for ...
Abstract: Access control (AC) vulnerabilities are among the most critical security threats to smart contracts. Despite extensive research, they remain widespread and damaging in the Ethereum ecosystem ...
Abstract: Smart contracts are self-executing digital agreements deployed on blockchain platforms, where ensuring security is crucial due to their immutable nature. Understanding token-level semantics ...
This project analyzes my smartphone screen time from May to June 2025 using Python. The objective is to identify usage patterns across weekdays, applications, and months through data visualization.
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