Mathematicians may have a better way to measure agreement across different datasets. Agreement affects reproducibility, meta-analysis, and prediction to fill in missing data points. We need a more ...

Three books unpack our infatuation with prediction, and what we lose when we outsource this task to machines. To be human is, fundamentally, to be a forecaster. Occasionally a pretty good one. Trying ...

Guest column: For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency is the same. Carissa Véliz is an associate professor at the ...

• A new AI machine learning algorithm capable of predicting planetary orbits that may one day help accelerate physics research in other areas such as renewable energy. • Strikingly, the algorithms ...

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

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

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

Overview: Recommendation algorithms study user behavior patterns to predict future choices.Netflix, Amazon, and Spotify use ...