Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...

When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...

Prediction markets, which allow wagers on almost anything in politics, business or culture, takes betting to a new level.

Cervical spondylotic myelopathy (CSM) refers to spinal cord compression from arthritis in the neck and is the leading cause of spinal cord dysfunction in older adults. CSM is a chronic, progressive ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

In an increasingly interconnected world, understanding the behavior and structure of complex networks has become essential ...

A fully automated bot quietly captured micro-arbitrage opportunities on short-term crypto prediction markets, netting nearly ...