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A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.
Version 2.0 of the study will add bunny scent to the stuffed rabbits if motion and heat aren’t enough to fool the pythons.
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
How This Trend Is Changing Everything — sounds like big deal, right? Well, you’re not alone if you been hearing this buzzword ...
This article develops a control scheme, based on the use of long short-term memory neural network models and nonlinear model predictive control, which guarantees recursive feasibility with slow time ...
To mitigate the impact of time-varying model parameters and system disturbances on the control performance, this article proposes a continuous-time solving scheme for the autonomous path- tracking ...
Generative-AI models like ChatGPT are being utilised by abusers, creating an echo chamber to justify their own negative behaviours.
control uav drone feedback ros mpc robot-operating-system model-predictive-control robust-control Updated 2 weeks ago C++ ...
This paper presents a nonlinear model predictive control (NMPC) framework employing Gaussian processes (GPs) for application in froth flotation processes under online partial observability. Froth ...
Objective Early prediction of long-term outcomes in patients with systemic lupus erythematosus (SLE) remains a great challenge in clinical practice. Our study aims to develop and validate predictive ...
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