ExtractoDAO Labs Launches TON618 NASA-Level 1.0: Computational Cosmology Software for DUT vs ΛCDM

New NASA-level software framework reproduces DUT vs ΛCDM results, resolving Hubble and growth tensions with Δχ² = ...
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Python physics tutorial: Modeling 1D motion with loops

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...
AlphaGalileo

Can we predict ionospheric turbulence? A Bayesian model offers a global warning system

The ionosphere, a dynamic region extending from roughly 60 to 1,000 kilometers above Earth, plays a critical role in radio signal propagation. During geomagnetic storms and solar flare events, ...
IEEE

Computationally Efficient Bayesian Model Predictive Control for 4-D Flight Trajectory Tracking Under Windy Conditions

Abstract: Accurate 4-D trajectory tracking can improve trajectory predictability and further enhance the efficiency of air traffic management (ATM). However, the tracking accuracy is inevitably ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
Frontiers

Modeling frameworks in nutritional epidemiology matter: comparing isotemporal and time-lagged Bayesian and frequentist approaches of carbohydrate intake and adiposity

Background: Understanding how different modeling strategies affect associations in nutritional epidemiology is critical, especially given the temporal complexity of dietary and health data. Objective: ...
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AstroBlaster collision modeling with Python physics

Dive into the world of physics simulations with this AstroBlaster collision modeling tutorial using Python! 🚀💥 In this video, we break down how to simulate space collisions, from basic physics ...