Graphene coated with nanoparticles has been used to make wearable light sensors that measure the human pulse and blood oxygen levels from ambient light passing through tissue, offering a potential platform for health-care monitoring.
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标题：StructSLAM: Visual SLAM With Building Structure Lines
Deep reinforcement learning (DRL) brings the power of deep neural networks to bear on the generic task of trial-and-error learning, 强化学习本质是试错学习
Emergence of associative learning in a neuromorphic inference network
The payment you receive per click depends on how much advertisers are paying per click to advertise using Google’s AdWords service. Advertisers can pay as little as 5 cents per click and as high as $10 or $12 in profitable niches, perhaps even more sometimes. You earn a share of that.
The great tragedy of science: the slaying of a beautiful hypothesis by an ugly fact.——Thomas Henry Huxley (1825–1895)
【导读】专知内容组整理了最近六篇知识图谱（Knowledge Graph）相关文章，为大家进行介绍，欢迎查看! 1. Approaches for Enriching and Improving Textual Knowledge Bases（丰富和改进文本知识库的方法） 作者：Besnik Fetahu 机构：der Gottfried Wilhelm Leibniz Universität Hannover 摘要：Verifiability is one of the core editing prin
【导读】专知内容组整理了最近六篇机器翻译（Machine Translation）相关文章，为大家进行介绍，欢迎查看! 1. Baselines and test data for cross-lingual inference（跨语言推理的基准方法和测试数据） ---- ---- 作者：Željko Agić,Natalie Schluter 摘要：The recent years have seen a revival of interest in textual entailment, sparked
Recent advances in human stem cell-derived brain organoids promise to replicate critical molecular and cellular aspects of learning and memory and possibly aspects of cognition in vitro. Coining the term “organoid intelligence” (OI) to encompass these developments, we present a collaborative program to implement the vision of a multidisciplinary field of OI. This aims to establish OI as a form of genuine biological computing that harnesses brain organoids using scientific and bioengineering advances in an ethically responsible manner. Standardized, 3D, myelinated brain organoids can now be produced with high cell density and enriched levels of glial cells and gene expression critical for learning. Integrated microfluidic perfusion systems can support scalable and durable culturing, and spatiotemporal chemical signaling. Novel 3D microelectrode arrays permit high-resolution spatiotemporal electrophysiological signaling and recording to explore the capacity of brain organoids to recapitulate the molecular mechanisms of learning and memory formation and, ultimately, their computational potential. Technologies that could enable novel biocomputing models via stimulus-response training and organoid-computer interfaces are in development. We envisage complex, networked interfaces whereby brain organoids are connected with real-world sensors and output devices, and ultimately with each other and with sensory organ organoids (e.g. retinal organoids), and are trained using biofeedback, big-data warehousing, and machine learning methods. In parallel, we emphasize an embedded ethics approach to analyze the ethical aspects raised by OI research in an iterative, collaborative manner involving all relevant stakeholders. The many possible applications of this research urge the strategic development of OI as a scientific discipline. We anticipate OI-based biocomputing systems to allow faster decision-making, continuous learning during tasks, and greater energy and data efficiency. Furthermore, the development of “intelligence-in-
【导读】专知内容组整理了最近人工智能领域相关期刊的5篇最新综述文章，为大家进行介绍，欢迎查看! 1. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric （深度特征在感知度量中难以置信的有效性） ---- ---- 作者： Richard Zhang,Phillip Isola,Alexei A. Efros,Eli Shechtman,Oliver Wang 摘要：While it is nearly effor
【导读】专知内容组整理了最近六篇图像描述生成（Image Caption）相关文章，为大家进行介绍，欢迎查看! 1. Unpaired Image Captioning by Language Pivoting（以语言为枢纽生成不成对图像的描述） ---- 作者：Jiuxiang Gu,Shafiq Joty,Jianfei Cai,Gang Wang 机构：Alibaba AI Labs，Nanyang Technological University 摘要：Image captioning is a m
https://github.com/DimaKrotov/Dense_Associative_Memory/blob/master/Dense_Associative_Memory_training.ipynb
This answer is from https://stackoverflow.com/a/3279550/10133369
math.stackexchange.com是stackExchange上一个和数学有关的论坛, 有点类似我们的贴吧, 当然质量肯定不可相提并论的.
This evolutionary cycle is not just for people but for countries, companies, economies—for everything. And it is naturally self-correcting as a whole, though not necessarily for its parts. For example, if there is too much supply and waste in a market, prices will go down, companies will go out of business, and capacity will be reduced until the supply falls in line with the demand, at which time the cycle will start to move in the opposite direction. Similarly, if an economy turns bad enough, those responsible for running it will make the political and policy changes that are needed—or they will not survive, making room for their replacements to come along. These cycles are continuous and play out in logical ways—and they tend to be self-reinforcing.
【导读】专知内容组整理了最近七篇图像检索（Image Retrieval）相关文章，为大家进行介绍，欢迎查看! 1. Cross-Paced Representation Learning with Partial Curricula for Sketch-based Image Retrieval（基于草图的图像检索） ---- ---- 作者：Dan Xu,Xavier Alameda-Pineda,Jingkuan Song,Elisa Ricci,Nicu Sebe 机构：Indiana Unive
该文摘要总结
PS：这篇文章主体是根据Faraz Kelhini的文章（见引用1）翻译而来，加入了自己的一些理解。
【导读】专知内容组整理了最近八篇图像描述生成（Image Captioning）相关文章，为大家进行介绍，欢迎查看! 1.Generating Diverse and Accurate Visual Captions by Comparative Adversarial Learning（通过比较级对抗学习产生多样而准确的视觉描述） 作者：Dianqi Li,Qiuyuan Huang,Xiaodong He,Lei Zhang,Ming-Ting Sun 机构：University of Washingt
https://www.technewsworld.com/story/86911.html
ECMAScript 6 (or ECMAScript 2015) is the newest version of the ECMAScript standard and has remarkably improved parameter handling in JavaScript. We can now use rest parameters, default values and destructuring, among other new features. PS：这篇文章主体是根据Faraz
【导读】专知内容组整理了最近八篇目标跟踪（Object Tracking）相关文章，为大家进行介绍，欢迎查看! 1. Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking（基于具有长期和短期自适应记忆相关滤波的目标跟踪） 作者：Chao Ma,Jia-Bin Huang,Xiaokang Yang,Ming-Hsuan Yang 机构：National Tsing Hua Universit
官方地址：https://www.heywhale.com/home/competition
这篇论文开辟了一个新的研究方向，即在低光条件下进行实例分割。它是第一篇系统性地建立了低光条件下实例分割的训练和测试验证框架的论文（划重点，可以卷的新方向！）。
文章链接- https://www.linkedin.com/pulse/somethings-right-here-folks-look-usa-2009-h1n1-virus-compared-c
本文精选了上周（0717-0723）最新发布的15篇推荐系统相关论文，主要研究方向包括基于大语言模型的推荐系统、推荐中的公平性问题、对话推荐、多语言多区域购物推荐数据集、推荐中的架构搜索、多行为推荐等。
【1】 Investor Behavior Modeling by Analyzing Financial Advisor Notes: A Machine Learning Perspective 标题：基于机器学习的财务顾问笔记分析投资者行为建模
第33届国际人工智能联合会议（International Joint Conference on Artificial Intelligence, 简称为IJCAI）是人工智能领域顶级的国际学术会议之一，也是CCF-A类会议。今年的IJCAI将于2024年8月03-09日在韩国济州岛举办。在今年的5461篇投稿论文中，有799篇大约14.63%的论文被接收，其中跟推荐系统相关的论文大约16篇。另外，跟（大）语言模型相关的论文40篇。
本文介绍了神经网络模型在计算机视觉领域的经典应用以及当前最新的进展。具体来说，文章首先介绍了用于图像分类的卷积神经网络（CNN）的基本原理，然后介绍了用于目标检测和语义分割的多层感知器（MLP）模型。接下来，文章讨论了神经网络模型在计算机视觉领域的一些应用，例如图像生成、风格迁移、超分辨率、人体姿态估计等。最后，文章展望了计算机视觉领域未来的研究方向，包括注意力机制、可解释性、小样本学习、实时性能等。
【1】 Solving the Discrete Euler-Arnold Equations for the Generalized Rigid Body Motion 标题：求解广义刚体运动的离散Euler-Arnold方程 链接：https://arxiv.org/abs/2109.00505
【1】 Exploiting Rich Syntax for Better Knowledge Base Question Answering 标题：利用丰富的语法更好地回答知识库问题
【1】 Dynamic Human-Robot Role Allocation based on Human Ergonomics Risk Prediction and Robot Actions Adaptation 标题：基于人体工效学风险预测和机器人动作适应的动态人-机器人角色分配 链接：https://arxiv.org/abs/2111.03630
【1】 La mujer a través de los personajes femeninos en el cine de temática financiera -- Women through female characters in financial topics films 标题：La Mujer a Través de Los Persajes Femeninos en el Motion de temática Financiera--从金融题材电影中的女性角色看女性 链接：https://arxiv.org/abs/2112.04366
【1】 Learned Visual Navigation for Under-Canopy Agricultural Robots 标题：学习的冠下农业机器人视觉导航
【1】 Two-step Domain Adaptation for Mitosis Cell Detection in Histopathology Images 标题：两步域自适应用于组织病理学图像中有丝分裂细胞的检测 链接：https://arxiv.org/abs/2109.00109
【1】 Multi-Asset Spot and Option Market Simulation 标题：多资产现货和期权市场仿真 链接：https://arxiv.org/abs/2112.06823
【1】 AutoBERT-Zero: Evolving BERT Backbone from Scratch 标题：AutoBERT-Zero：从头开始进化的BERT主干
【1】 Learning Bounded Context-Free-Grammar via LSTM and the Transformer:Difference and Explanations 标题：通过LSTM和转换器学习有界上下文无关文法：差异与解释 链接：https://arxiv.org/abs/2112.09174
【1】 Hate speech detection using static BERT embeddings 标题：基于静电BERT嵌入的仇恨语音检测
【1】 Model Stealing Attacks Against Inductive Graph Neural Networks 标题：针对归纳图神经网络的模型窃取攻击 链接：https://arxiv.org/abs/2112.08331
【1】 EgoBody: Human Body Shape, Motion and Social Interactions from Head-Mounted Devices 标题：EgoBody：来自头盔设备的人体形状、运动和社会互动 链接：https://arxiv.org/abs/2112.07642
【1】 Sampling from multimodal distributions using tempered Hamiltonian transitions 标题：使用回火哈密顿变换从多峰分布中采样 链接：https://arxiv.org/abs/2111.06871
【1】 Graph Kernel Attention Transformers 标题：图核注意力转换器
【1】 Robust Graph Neural Networks via Probabilistic Lipschitz Constraints 标题：基于概率Lipschitz约束的鲁棒图神经网络 链接：https://arxiv.org/abs/2112.07575
【1】 Sufficient principal component regression for pattern discovery in transcriptomic data 标题：用于转录数据模式发现的充分主成分回归
【1】 Power Law Graph Transformer for Machine Translation and Representation Learning 标题：用于机器翻译和表示学习的幂律图转换器
本文介绍了视觉特征提取和分类算法研究方面的最新进展，包括深度卷积神经网络、CNN的架构、新型卷积层、数据增强、迁移学习、半监督学习、自监督学习等方面的研究。
【1】 CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge 标题：CRAK：一种基于实体知识的常识推理数据集 链接：https://arxiv.org/abs/2109.01653
【1】 Joint Shapley values: a measure of joint feature importance 标题：关节Shapley值：关节特征重要性的度量
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