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

The Laboratory team’s quantum “demon” uses information about a quantum system’s state and measurement results to drive similarly unusual processes, reversing the usual arrow of time in a quantum ...

Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate – and think through – the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any ...

Don’t miss the latest episode of our Electronics Weekly podcast, CHIIPS. It features Edward Charrier – Fractilia’s co-founder, CEO and President – and Chris Mack, Fractilia’s co-founder and CTO. Read ...

Two years ago, we published a list of 5 predictions about AI in the year 2030. The article sparked a lot of fascinating (and ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Compartment models have been proposed in the 1920s as a model for the spread of an infectious disease in a society, in a famous article by Kermack and ...

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...

Abstract: There are mainly two types of particle flows in the design of particle flow filters, i.e., the deterministic flows and the stochastic flows as diffusion processes. These two types of flows ...

Three physicists have proposed a technique for detecting pairs of supermassive black holes that have so far eluded every ...

Abstract: The problem of secure state estimation and attack detection in cyber-physical systems is considered in this paper. A stochastic modeling framework is first introduced, based on which the ...