DFT: A Dual-branch Framework of Fluctuation and Trend for Stock Price Prediction

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Chengqi Dong, Zhiyuan Cao, S Kevin Zhou, Jia Liu, | Summary: Stock price prediction is of significant importance in quantitative investment. Existing approaches encounter two primary issues: First, they often overlook the crucial role of capturing short-term stock fluctuations for predicting high-volatility returns. Second, mainstream methods, relying […]


Continue.. DFT: A Dual-branch Framework of Fluctuation and Trend for Stock Price Prediction

ANCoEF: Asynchronous Neuromorphic Algorithm/Hardware Co-Exploration Framework with a Fully Asynchronous Simulator

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Jian Zhang, Xiang Zhang, Jingchen Huang, Jilin Zhang, Hong Chen | Summary: Developing asynchronous neuromorphic hardware to meet the demands of diverse real-life edge scenarios remains significant challenges. These challenges include constraints on hardware resources and power budgets while satisfying the requirements for real-time responsiveness, reliable inference […]


Continue.. ANCoEF: Asynchronous Neuromorphic Algorithm/Hardware Co-Exploration Framework with a Fully Asynchronous Simulator