#optimization
Every summary, chronological. Filter by category, tag, or source from the rail.
Agentic Aggregators for Electric Bus Fleet Management
Agentic systems can optimize electric bus fleets by balancing grid flexibility and operational constraints, but profit-oriented configurations risk extracting value from public transport operators.
Flash-KMeans: Accelerating Exact Clustering on GPUs
Flash-KMeans optimizes Lloyd's k-means algorithm for GPUs by restructuring dataflow to eliminate HBM bottlenecks, achieving up to 200x speedups over FAISS without sacrificing mathematical accuracy.
COAgents: A Multi-Agent Framework for Routing Optimization
COAgents is a multi-agent framework designed to navigate complex search spaces in routing problems by combining collaborative agent intelligence with optimization techniques.
How Adam's Variance Normalization Fixes SGD's Frequency Bias
Standard SGD fails to optimize rare tokens because they receive infrequent gradient updates. Adam solves this by using variance normalization to automatically amplify the effective learning rate for rare parameters.
Showing 4 of 4