Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Today I brushed off my painting skills and followed a Christmas and winter-themed Bob Ross painting tutorial. The only problem is I'm not a great painter, and to put myself at even more of a ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...

Abstract: Distributed detection over decentralized baseband architectures has emerged as an important problem in the uplink massive MIMO systems. In this paper, the classic Kaczmarz method is fully ...

High-quality random number generators are required for various applications such as cryptography, secure communications, Monte Carlo simulations, and randomized algorithms. Existing pseudorandom ...

Ethereum researcher “Malik672” has proposed a solution to democratize Ethereum’s block proposer process, which they claim would also eliminate MEV at the block level. An Ethereum researcher has ...

The proposal suggests implementing a shared random algorithm to eliminate Maximal Extractable Value (MEV) at the block level and distribute block construction more equitably across the network. An ...

On Wednesday, a New York-based app developer named Isaac Gemal debuted a new site called WikiTok, where users can vertically swipe through an endless stream of Wikipedia article stubs in a manner ...