Abstract: The Kriging model has been widely used in regression-based surrogate-assisted evolutionary algorithms (SAEAs) for expensive multiobjective optimization by using one model to approximate one ...
Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...
Instagram’s December 2025 algorithm update did not introduce an entirely new system. Instead, it formalized a direction the platform has been moving toward all year: prioritizing declared interests, ...
Instagram is rolling out a new tool called Your Algorithm that gives you direct control over the videos that fill your Reels tab. Your interests shift as time moves on. Now your feed can shift with ...
TikTok Deal Is (Finally) Happening, CEO Confirms Plans to Retrain US Algorithm Oracle, Silver Lake, and Abu Dhabi’s state-owned investment firm MGX each plan to take a 15% stake. ByteDance will retain ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology outline practical approaches to overcome the limitations of modern computing ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback