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Towards a Safe Society 5.0: Reinforcement Learning Pentesting Agent Training in Realistic Network Environments（图）
Realistic Network Environments Learning Pentesting Agent PenGym
2025/3/27
Researchers developed an innovative and realistic reinforcement learning agent training framework for penetration testing (pentesting) purposes.
苏州大学计算机科学与技术学院杨壮老师的论文在机器学习顶级期刊Journal of Machine Learning Research （JMLR）上在线发表（图）
杨壮 机器学习 Journal of Machine Learning Research
2024/2/3
苏州大学计算机科学与技术学院杨壮副教授撰写的论文“Improved Powered Stochastic Optimization Algorithms for Large-Scale Machine Learning”在机器学习顶级期刊Journal of Machine Learning Research（JMLR）上在线发表，杨壮副教授为该论文的唯一作者，苏州大学计算机科学与技术学院为该论文...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Distributed sequential federated learning
分布式 联合学习 数据分析
2023/11/7
The analysis of data stored in multiple sites has become more popular, raising new concerns about the security of data storage and communication. Federated learning, which does not require centralizin...
医学部汪天富、雷柏英教授团队在《IEEE Transactions on Neural Networks and Learning Systems》上发表文章（图）
雷柏英教授 生物医学工程 深圳大学医学部
2023/10/23
近期，深圳大学医学部生物医学工程学院汪天富、雷柏英教授团队的研究成果《MHW-GAN: Multi-discriminator Hierarchical Wavelet Generative Adversarial Network for Multi-modal Image Fusion》在顶级期刊IEEE Transactions on Neural Networks and Learning ...
深圳大学医学部汪天富教授团队在《IEEE Transactions on Neural Networks and Learning Systems》上发表系列重要文章（图）
生物医学工程 汪天富教授 深圳大学医学部
2023/10/23
近日，医学部生物医学工程学院汪天富教授团队在人工智能领域顶级国际期刊《IEEE Transactions on Neural Networks and Learning Systems》（中科院大类一区，TOP期刊，IF:14.255）上发表了系列研究成果。
Researchers from MIT, the MIT-IBM Watson AI Lab, IBM Research, and elsewhere have developed a new technique for analyzing unlabeled audio and visual data that could improve the performance of machine-...
Why is machine learning trending in medical research but not in our doctor’s offices?（图）
Bioengineering Penn Integrates Knowledge Professors Computer Science
2023/6/27
Machine learning (ML) programs computers to learn the way we do—through the continual assessment of data and identification of patterns based on past outcomes. ML can quickly pick out trends in big da...
Maybe you can’t tell a book from its cover, but according to researchers at MIT you may now be able to do the equivalent for materials of all sorts, from an airplane part to a medical implant. Their n...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Towards Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Large-scale Machine Learning Models
非线性动力学 机器学习模型 高效量子算法
2023/4/13
Nonlinear dynamics play a prominent role in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear equations have been severely limited due to t...
美国奥本大学Shiwen Mao教授来南京邮电大学通信与信息工程学院作“Deep Learning for WiFi-based Indoor Fingerprinting”专题报告（图）
美国 奥本大学 Shiwen Mao 深度学习 模型 信号 无线电地图
2024/2/4
2023年3月24日上午，IEEE Fellow、美国奥本大学Shiwen Mao教授应邀来南京邮电大学通信与信息工程学院作“Deep Learning for WiFi-based Indoor Fingerprinting”专题报告。本次专题报告详细地介绍了室内定位的相关内容，为南京邮电大学通信与信息工程学院师生的相关科研工作开拓了新思路。本次报告由通信与信息工程学院周亮院长主持，学院逾三百名...
It’s no secret that OpenAI’s ChatGPT has some incredible capabilities — for instance, the chatbot can write poetry that resembles Shakespearean sonnets or debug code for a computer program. These abil...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Generalization of Graph Neural Networks and Graph Structural Learning for Robust Representation
图神经网络 泛化 图结构学习 鲁棒表示
2023/4/18
This report consists of two parts associated with graph neural networks: generalization and graph structural learning. We first study the Rademacher complexity of GNNs, as one of independent-algorithm...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Forecasting Inflation with Economic Narratives and Machine Learning
经济叙事 机器学习 通货膨胀
2023/4/23
In this paper we apply economic narratives to inflation forecasting using a large news corpus and machine learning algorithms. We measure economic narratives quantitatively from the full text content ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Structure-preserving machine learning moment closures for the radiative transfer equation
辐射传递方程 结构保持 机器学习 矩闭包
2023/4/24
In this talk, we present our work on structure-preserving machine learning (ML) moment closure models for the radiative transfer equation. Most of the existing ML closure models are not able to guaran...
Study shows how machine learning could predict rare disastrous events, like earthquakes or pandemics（图）
机器学习 自然灾害 顺序采样技术
2023/6/26
Researchers from Brown and MIT suggest how scientists can circumvent the need for massive data sets to forecast extreme events with the combination of an advanced machine learning system and sequentia...