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 ...

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 ...

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 ...

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 ...

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 ...

Forbes contributors publish independent expert analyses and insights. Innovation futurist, keynote speaker and author, based in California. The need to predict is omnipresent. Every time you buy a ...

Our writer offers up his congratulations to you wily subscribers, and boy genius Wilf, while delighting in the algorithm's last place ...

• 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 ...