The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...

Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.

Abstract: This article proposes a data-driven model-free inverse Q-learning algorithm for continuous-time linear quadratic regulators (LQRs). Using an agent’s trajectories of states and optimal ...

Autonomous AI models can bring specialist-level retinal screening to clinics worldwide, aiding the diagnosis of diabetic ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

With $500 million in funding and a reported $2.5 billion valuation, Flourish wants to reinvent AI by putting real neurons ...

Every organism you have ever seen, every ecosystem you have ever walked through, is the ongoing output of an algorithm that ...

The YouTube algorithm recently spat out a video of Kaden Groves almost crashing on stage one of last year’s Tour de France. I saw it at the time, but my mind immediately got swamped with the rest of ...

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

It’s hard to ignore the seismic shifts brought about by algorithm-driven content. Every time you scroll through your social media feed or check your favorite news app, algorithms are diligently at ...

In our current information environment, artificially intelligent, algorithm-driven technologies mediate essentially all information and communication, and they demonstrably influence our ...