eLife

Designing optimal perturbation inputs for system identification in neuroscience

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Symphony Therapeutics to Present NanoM-Wafer™ Artificial Tear Film Ocular Insert

Details will be disclosed 11 March 2026 9 AM ET at 29th Annual TechConnect World Innovation Conference and Expo at ...
IEEE

Actor–Critic Model Predictive Control: Differentiable Optimization Meets Reinforcement Learning for Agile Flight

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 ...

OBGYN Specialists of Columbus Educates Women on BHRT Basics: Insurance, Costs, and What to Expect with BioTE

COLUMBUS, GA, UNITED STATES, March 3, 2026 /EINPresswire.com/ -- OBGYN Specialists of Columbus is helping women better ...
Democrat and Chronicle

AI Brings Predictability to Complex Food Product Development

A new review shows how AI helps food companies predict formulation, processing, and sensory outcomes. AI does not replace food scientists—it helps them work more effectively with complex data. The ...
IEEE

Optimality of Output-sampled Model Predictive Path Integral Control (oMPPI) using Inverse Models

Abstract: Trajectory-sampling-based techniques, such as model predictive path integral control (MPPI), are well suited to solve complex optimization problems with numerous weighted cost terms and ...