An award-winning privacy-preserving data collaboration platform that enables companies to analyze and collaborate on consumer data to gain insights, build predictive models, and monetize data without ...

An award-winning privacy-preserving data collaboration platform that enables companies to analyze and collaborate on consumer data to gain insights, build predictive models, and monetize data without ...

UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The research behind it earned a Test of Time award, recog ...

Data analytics studies existing business data to identify patterns, trends, and insights that support better decisions.Data ...

The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in order to explore possible future scenarios. Instead of relying on a single ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

The BPC's Commission on the American Workforce proposes a national talent strategy to align how $250 billion in federal ...

Yann LeCun’s new startup AMI launched with a $1.03 billion seed round to build AI “world models,” betting against the LLM-first approach.

Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: ...

Abstract: A key open challenge in agile quadrotor flight is how to combine the flexibility and task-level generality of model-free reinforcement learning (RL) with the structure and online replanning ...

Nonlinear relationships are common in applied research, especially in education, health, and economics. While Python provides statsmodels for mixed-effects models and patsy for spline construction, ...