Awed as a young child by the majesty of the Golden Gate Bridge in San Francisco, civil engineer and MIT Morningside Academy ...

“We expect to see increased funding levels in UK legal tech in 2025, up from the £1.38 billion in the funding received in ...

Understanding the differences between RPA and agentic AI — as well as how they complement each other — can unlock major ...

Kr investigates how natural language processing is evolving in China, driven by tech innovation, policy support, and industry ...

Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).

Incremental Potential Contact (IPC) is for robust and accurate time stepping of nonlinear elastodynamics. IPC guarantees intersection- and inversion-free trajectories regardless of materials, ...

Abstract: This article proposes a constrained evolutionary Bayesian optimization (CEBO) algorithm to cope with expensive constrained optimization problems with inequality constraints. The uniqueness ...

with limited access to the country’s constrained transmission grid curbing its plans. The government received 40 bids for 1,800 megawatts it had sought, but only eight bidders were successful ...

This challenge grows as new tasks arise and models evolve rapidly, making manual methods for prompt engineering increasingly unsustainable. The question then becomes: How can we make prompt ...

Current prompt optimization techniques are resource-intensive or require users to manually test different configurations to reduce the size of their prompts. Universal transformer memory optimizes ...