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I replaced Spotify with a CLI music player and the only thing I missed was the algorithm

This app is perfect for all-day music sessions, when you just want it to get out of the way.

Optimizing RNA design with AI and an Ising machine: Encoding matters

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
Stanford Social Innovation Review

When Landlords Make Exceptions

For many landlords and property managers, this data-driven process has an appealing aura of objectivity, consistency, and ...
IEEE

Simultaneous Seismic Data Interpolation and Denoising Based on Nonsubsampled Contourlet Transform Integrating With Two-Step Iterative Log Thresholding Algorithm

Abstract: Seismic data interpolation and denoising play vital roles in obtaining complete and clean data in seismic data processing. Seismic data usually miss along various spatial axes and always mix ...
KJZZ

'Alice and Steve' might be a mess — but it's also too fun to stop watching

This British comedy on Hulu centers on two 50-something best friends who turn on each other after he gets involved with her ...

JadePuffer ransomware used AI agent to automate entire attack

Researchers identified what they believe is the first documented case of a ransomware operation, JadePuffer, conducted ...
MIT Technology Review

LLMs are stuck in a groupthink groove. This startup is trying to get them out.

Chatbots are far more predictable in their responses than you might expect. That's fine for research or coding, but it's a ...
Nature

What is the expectation maximization algorithm?

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
IEEE

Analysis of Approximate Message Passing With Non-Separable Denoisers and Markov Random Field Priors

Abstract: Approximate message passing (AMP) is a class of low-complexity, scalable algorithms for solving high-dimensional linear regression tasks where one wishes to recover an unknown signal from ...