Manifold-Constrained Hyper-Connections: The Architectural Breakthrough That Might Redefine LLM Training

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...
Becker's Hospital Review

8 leaders on the constraints limiting OR performance

Performance is being squeezed from every direction. Growing demand, workforce constraints and operational complexity are testing the limits of perioperative capacity. As a consequence, many ...
IEEE

Auxiliary Optimization With Resource Allocation for Constrained Multiobjective Problems

Abstract: Utilizing various auxiliary optimization problems (AOPs) to help the optimization for constrained multiobjective problems (CMOPs) has recently drawn substantial attention. However, two key ...
IEEE

ECO: Energy-Constrained Optimization With Reinforcement Learning for Humanoid Walking

Abstract: Achieving stable and energy-efficient locomotion is essential for humanoid robots to operate continuously in real-world applications. Existing model predictive control (MPC) and ...
Frontiers

Prediction of thin sand body reservoirs using facies-model-constrained stochastic optimization inversion

Globally, subtle hydrocarbon reservoirs in petroliferous basins have always been challenging targets for exploration research, with thin sand body reservoir prediction being a key focus in this field.