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

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...

By Eric Butterman SHARE From autonomous cars to video games, reinforcement learning (machine learning through interaction ...

In modern financial markets, recognizing trends is essential for investors seeking profits. Stock databases, or Stock DB, ...

AI is searching particle colliders for the unexpected ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Cannabis is now entering a similar inflection point, where algorithms may shape what gets grown, how it’s sold, and who wins in a rapidly growing industry.

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Divisions within the US population on social and political issues have increased by 64% since 1988, with almost all this coming after 2008, according to a study tracking polarization from the end of ...

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 ...