Speeding Up the “Kill Chain”: Pentagon Bombs Thousands of Targets in Iran Using Palantir AI

As the U.S.-Israeli war on Iran continues, we look at how the Pentagon is using artificial intelligence in its operations. The system, known as Project Maven, relies on technology by Palantir and also ...
Art of the Problem on MSN

From Plato to Markov chains, how probability revealed hidden patterns in random events

From Plato’s search for hidden forms to Bernoulli’s law of large numbers and Markov’s breakthrough on dependent events, this story traces how mathematicians discovered the patterns hidden inside ...
Devdiscourse

Artificial superintelligence may be economically useless: Here's why

In a paper titled Artificial Superintelligence May Be Useless: Equilibria in the Economy of Multiple AI Agents, a team of researchers state that equilibrium outcomes in multi-agent economies may ...
IEEE

An Efficient Malicious Sample Identification Scheme Based on Compressed Sensing and Markov Diffusion Model for Sensor Environment

Abstract: With the large-scale deployment of sensor devices in the Internet of Things (IoT), the methods and scale of cyberattacks continue to expand, and sensor nodes have become the core target of ...
IEEE

On the Inverse Mapping From Markov Chains to the Multi-Agent Influence Models

Abstract: The Influence Model (IM) is a compact yet powerful framework for modeling state evolution in multi-agent stochastic networks. It has found wide applications in domains such as power systems, ...