Abstract: This study addresses the problem of convolutional kernel learning in univariate, multivariate, and multidimensional time series data, which is crucial for interpreting temporal patterns in ...
KernelOptimizer is an open-source tool that automates CUDA kernel optimization for PyTorch workloads using large language models (LLMs). Inspired by Stanford CRFM’s fast kernel research, it leverages ...
The 2025 energy transition in eight charts: clean wins, dirty setbacks For supporters of the energy transition, 2025 had plenty to complain about: the scrapping of U.S. clean energy policies, wind ...
This demo models and analyzes pharmaceutical supply chains using Neo4j. It includes a sample dataset, graph schema, and Cypher queries for: Tracing product flow Analyzing supplier dependencies ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...
The audio version of this article is generated by AI-based technology. Mispronunciations can occur. We are working with our partners to continually review and improve the results. Circular Materials ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
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