From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, this means volatility is not constant. Most pricing ...

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset ...

Looking to scale emotional intelligence training across your organization? Here are 5 key lessons from 40 expert interviews ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Abstract: Offline reinforcement learning (RL) learns policies from fixed-size datasets without interacting with the environment, while multi-agent reinforcement learning (MARL) faces challenges from ...

Many small businesses use AI tools every day, but how do they actually work? And where does all that “knowledge” come from?imageAI models may seem incredibly smart, but there’s no magic involved.

As well as behavioural and technical issues, firms must also solve a variety of organisational problems to make AI work for ...