Wildfire survivors call fire-prediction markets “morally reprehensible” and worry they could increase the risk of arson.
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
Compare the best prediction markets in 2026. See welcome offers, fees, and sports coverage for Kalshi, Polymarket, OG ...
A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...
0 ego_state 4×1 [x, y, θ, v] — scooter position, heading, speed 1 obs_state 4×1 [x, y, vx, vy] — obstacle position and velocity ...
Abstract: Conventional model predictive current control of permanent magnet synchronous machines (PMSMs) relies heavily on a precise mathematical model, which may be challenging to obtain in certain ...
Abstract: We present a sampling-based model predictive control method that uses a generic physics simulator as the dynamical model. In particular, we propose a Model Predictive Path Integral ...
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