Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Radio spectrum is pricey. Operators drop billions at auction to lock down licensed frequency bands, and every single ...

Explore India's food consumption trends and their impact on climate resilience, water security, and sustainable agriculture in this insightful analysis.

In mid-2023, around the time Elon Musk rebranded Twitter as X but before he discontinued free academic access to the platform ...

A few blobs of lab-grown brain tissue have demonstrated a striking proof of concept: living neural circuits can be nudged toward solving a classic control problem through carefully structured feedback ...

As adoption of education technology accelerates, a fundamental question remains: Are we measuring the right things?

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.