Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Every Indian AI model is graded on benchmarks built in San Francisco. GPT-5 scores below 40% on Indian cultural reasoning.

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

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

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 ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

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

Anthropic's Claude Sonnet 4.6 matches Opus 4.6 performance at 1/5th the cost. Released while the India AI Impact Summit is on, it is the important AI model ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Autonomous Analysis of Curated Patient Data Using a Large Language Model–Based Multiagent Framework The Artera multimodal AI (MMAI) platform, using digital histopathology and clinical data, was ...

When I sat down to watch the first two episodes of Heated Rivalry on the day of its release, I hadn’t expected it to take off like wildfire. The show already had a wide fanbase from the start, ...