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

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

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

Introduction The proliferation of deepfake technology, synthetic media generated using advanced artificial intelligence techniques, has emerged as a ...

A 24-week live online programme that builds applied AI capability, from core analytics to production deployment, with a ...

Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

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.

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 ...

Understand how AI-enforced MBA programs have a greater alignment with what businesses currently expect from their leaders here.

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.