ResearchOpen Access29 Jan 2025Scientific Data Volume: 12, P: 169 Deep learning model based prediction of vehicle CO2emissions with eXplainable AI integration for sustainable environment Gazi Mohammad Imdadul Alam Sharia Arfin Tanim Kamruddin Nur ...
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and delivered a speech. These top global mathematicians and scientists engaged in deep discussions on topics such as the mathematical foundations of machine learning and artificial intelligence, algorithmic research in artificial intelligence, AI for Science, and AI for Math, jointly exploring the latest...
Research Highlights18 May 2022Nature Reviews Cancer Volume: 22, P: 434-435 Parameter inference for systems biology models Ananya Rastogi Research Highlights14 Jan 2021Nature Computational Science Volume: 1, P: 16 Dirt and memory Zoltan Fehervari ...
CCF: Conference Rank (A, B, C) from China Computer Federation (2022) CORE: Conference Rank (A*, A, B, C) from Computing Research and Education Association of Australasia (2020) QUALIS: Conference Rank (A1, A2, B1, B2, B3, B4, B5) from Brazilian Classification System for Conferences ...
All Research & Reviews News and Comment Gauge theories on a quantum computer Many important models in theoretical physics — including the standard model of particle physics — are governed by local ‘gauge’ symmetries. Now, a quantum computer has successfully simulated a lattice gauge theory by...
CCF: Conference Rank (A, B, C) from China Computer Federation (2022) CORE: Conference Rank (A*, A, B, C) from Computing Research and Education Association of Australasia (2020) QUALIS: Conference Rank (A1, A2, B1, B2, B3, B4, B5) from Brazilian Classification System for Conferences ...
topics such as the mathematical foundations of machine learning and artificial intelligence, algorithmic research in artificial intelligence, AI for Science, and AI for Math, jointly exploring the latest research achievements and future development trends in the fields of mathematics and artificial ...
Career Advice and Reading Research Papers Deep Reinforcement Learning 🔗 Link to Course 🔗 Link to Materials Applied Machine Learning To learn some of the most widely used techniques in ML: Optimization and Calculus Overfitting and Underfitting Regularization Monte Carlo Estimation Maximum Likelihood Le...