Prediction markets, based on the idea that anybody can profit from predicting the outcome of an event, are about to make ...

For algorithm execution, Docker or Singularity containers are available. See the docker/ directory for container definitions. Contributions are welcome! Please feel free to submit a Pull Request. For ...

Researchers at Binghamton have studied how wars, such as in Ukraine, have led to better landmine detection and don't require internet connections.

"People don't choose to have their media diet and their football allegiances bundled together. The feed does that for them." ...

A research-driven blockchain and crypto conference for Web3, DeFi, smart contracts, digital assets, security, regulation, and ...

Medical decisions are really hard, and I think that’s why AI is so exciting for me,” said Ziad Obermeyer, the study’s lead ...

In the random sample, 63.6% (560/880) of negative images and 5.2% (140/2710) of positive images were misclassified in the precorrection human labels. High myopia was the primary reason for ...

The Founder and Principal Researcher at Gazillion Labs is combining bounded stochastic price modeling, market microstructure, ...

Abstract: In this paper, we derive low-complexity recursive least squares (RLS) adaptive filtering algorithms. We express the RLS problem in terms of auxiliary normal equations with respect to ...

By Harrison Tasoff, UCSB Artificial intelligence is becoming increasingly vital to everyday activities across diverse sectors of society, from AI assistants to autonomous vehicles to healthcare. But ...

Abstract: K-means is one of the most simple and popular clustering algorithms, which implemented as a standard clustering method in most of machine learning researches. The goal of K-means clustering ...

Researchers have developed what they say is the first AI algorithm dedicated to detecting trafficked dead marine wildlife from 3D X-ray images. The system was most effective at finding species with ...