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ai enhances drug discovery and development

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National Science Review 2024年第3期11卷 52-54页

作者： Fang Bai Shiliang Li Honglin Li Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology ShanghaiTech University Lingang Laboratory Innovation Center for ai and Drug Discovery East China Normal University

The advent of the third wave of artificial intelligence(ai) heralds a new era in drug discovery. ai-powered techniques can be characteristic of identifying features that are difficult for humans to interpret from big ...

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A survey on model-based reinforcement learning

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Science China(Information Sciences) 2024年第2期67卷 59-84页

作者： Fan-Ming LUO Tian XU Hang Lai Xiong-Hui CHEN Weinan ZHANG Yang YU National Key Laboratory for Novel Software Technology Nanjing University Polixir. ai Department of Computer Science and Engineering Shanghai Jiao Tong University

Reinforcement learning(RL) interacts with the environment to solve sequential decision-making problems via a trial-and-error approach. Errors are always undesirable in real-world applications, even though RL excels at playing complex video games that permit several trial-and-error attempts. To improve sample efficiency and thus reduce errors, model-based reinforcement learning(MBRL) is believed to be a promising direction, as it constructs environment models in which trial-and-errors can occur without incurring actual costs. In this survey, we investigate MBRL with a particular focus on the recent advancements in deep RL. There is a generalization error between the learned model of a non-tabular environment and the actual environment. Consequently, it is crucial to analyze the disparity between policy training in the environment model and that in the actual environment, guiding algorithm design for improved model learning, model utilization, and policy training. In addition, we discuss the recent developments of model-based techniques in other forms of RL, such as offline RL, goal-conditioned RL, multi-agent RL, and meta-RL. Furthermore,we discuss the applicability and benefits of MBRL for real-world tasks. Finally, this survey concludes with a discussion of the promising future development prospects for MBRL. We believe that MBRL has great unrealized potential and benefits in real-world applications, and we hope this survey will encourage additional research on MBRL.

关键词： reinforcement learning model-based reinforcement learning planning model learning model learning with reduced error model usage

Multistage guidance on the diffusion model inspired by human artists’ creative thinking

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Frontiers of Information Technology & Electronic Engineering 2024年第1期25卷 170-178页

作者： Wang QI Huanghuang DENG Taihao LI ai Research Institute Zhejiang LabHangzhou 311121China Department of Computer Science and Technology Zhejiang UniversityHangzhou 310027China

Current research on text-conditional image generation shows parallel performance with ordinary painters but still has much room for improvement when compared to that of artist-ability paintings,which usually represent multilevel semantics by gathering features ofmultiple objects into one *** a preliminary experiment,we confirm this and then seek the opinions of three groups of individuals with varying levels of art appreciation ability to determine the distinctions that exist between painters and *** then use these opinions to improve an artificial intelligence(ai)painting system from painter-level image generation toward artistic-level image generation.

关键词： gathering ordinary artist

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Towards efficient generative ai and beyond-ai computing:New trends on ISSCC 2024 machine learning accelerators

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Journal of Semiconductors 2024年第4期45卷 12-15页

作者： Bohan Yang Jia Chen Fengbin Tu Department of Electronic and Computer Engineering The Hong Kong University of Science and TechnologyHong KongChina ai Chip Center for Emerging Smart Systems The Hong Kong University of Science and TechnologyHong KongChina School of the Gifted Young University of Science and Technology of ChinaHefei 230026Chin

Compared to the last decade when the convolution neu-ral network(CNN)dominated the research field,machine learn-ing(ML)algorithms have reached a pivotal moment called the generative artificial intelligence(ai)*** the emer-gence of large-scale foundation models[1],such as large multi-modal model(LMM)GPT-4[2]and text-to-image generative model DALL·E[3].

关键词： ISSCC beyond ai

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蚯蚓直线运动的三轴地面反作用力:测量、分析和对机器人建模的影响

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Acta Mechanica Sinica 2024年第2期40卷 1-14页

作者：方虹斌师瑞徐鉴 Institute of ai and Robotics State Key Laboratory of Medical NeurobiologyMOE Engineering Research Center of AI&RoboticsFudan UniversityShanghai200433China

蚯蚓在狭窄受限环境中具有良好的移动性,但其在运动过程中与地面的三轴反作用力还未被深入研究.本文探讨了蚯蚓在直线运动过程中的三轴地反力特征及其对机器人建模的影响.具体地,本研究设计了一个基于应变片的三轴微型测力板来测量蚯蚓(... 详细信息

蚯蚓在狭窄受限环境中具有良好的移动性,但其在运动过程中与地面的三轴反作用力还未被深入研究.本文探讨了蚯蚓在直线运动过程中的三轴地反力特征及其对机器人建模的影响.具体地,本研究设计了一个基于应变片的三轴微型测力板来测量蚯蚓(***)在直线运动时的三轴地反力.通过建立地反力的时间历程与运动视频的对应关系,将蚯蚓的周期性运动划分为三个阶段,并从蚯蚓身体变形的角度解析了地反力在三个阶段的力学特征.本研究还对蚯蚓的地反力特征进行了统计分析,并建立了蚯蚓直线运动过程的阻力系数模型.以此为基础,本文还提出了与机器人节段/单元变形相关的阻力系数模型,为离散型和连续型仿蚯蚓机器人的动力学建模提供基础.本研究首次对蚯蚓运动过程中的mN级三轴地反力进行了测量、分析和建模,研究结果对蚯蚓运动生物力学、仿蚯蚓移动机器人设计和机器人-环境接触界面调控等具有重要的指导意义.

关键词：移动机器人直线运动运动视频运动生物力学应变片周期性运动环境接触界面调控

Systematic Security Guideline Framework through Intelligently Automated Vulnerability Analysis

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Computers, Materials & Continua 2024年第3期78卷 3867-3889页

作者： Dahyeon Kim Namgi Kim Junho Ahn Computer Information Technology Korea National University of TransportationChungju27469Korea Department of ai Computer Science and Engineering Kyonggi UniversitySuwon16227Korea

This research aims to propose a practical framework designed for the automatic analysis of a product’s comprehensive functionality and security vulnerabilities,generating applicable guidelines based on real-world *** existing analysis of software security vulnerabilities often focuses on specific features or *** partial and arbitrary analysis of the security vulnerabilities makes it challenging to comprehend the overall security vulnerabilities of the *** key novelty lies in overcoming the constraints of partial *** proposed framework utilizes data from various sources to create a comprehensive functionality profile,facilitating the derivation of real-world security *** guidelines are dynamically generated by associating functional security vulnerabilities with the latest Common Vulnerabilities and Exposure(CVE)and Common Vulnerability Scoring System(CVSS)scores,resulting in automated guidelines tailored to each *** guidelines are not only practical but also applicable in real-world software,allowing for prioritized security *** proposed framework is applied to virtual private network(VPN)software,wherein a validated Level 2 data flow diagram is generated using the Spoofing,Tampering,Repudiation,Information Disclosure,Denial of Service,and Elevation of privilege(STRIDE)technique with references to various papers and examples from related *** analysis resulted in the identification of a total of 121 *** successful implementation and validation demonstrate the framework’s efficacy in generating customized guidelines for entire systems,subsystems,and selected modules.

关键词： Framework automation vulnerability analysis security guidelines

MLDA:a multi-level k-degree anonymity scheme on directed social network graphs

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Frontiers of Computer Science 2024年第2期18卷 199-215页

作者： Yuanjing HAO Long LI Liang CHANG Tianlong GU Guangxi Key Laboratory of Trusted Software Guilin University of Electronic TechnologyGuilin 541004China Engineering Research Center of Trustworthy ai(Ministry of Education) Jinan UniversityGuangzhou 510632China

With the emergence of network-centric data,social network graph publishing is conducive to data analysts to mine the value of social networks,analyze the social behavior of individuals or groups,implement personalized recommendations,and so ***,published social network graphs are often subject to re-identification attacks from adversaries,which results in the leakage of users’***-anonymity technology is widely used in the field of graph publishing,which is quite effective to resist re-identification ***,the current researches still exist some issues to be solved:the protection of directed graphs is less concerned than that of undirected graphs;the protection of graph structure is often ignored while achieving the protection of nodes’identities;the same protection is performed for different users,which doesn’t meet the different privacy requirements of ***,to address the above issues,a multi-level-degree anonymity(MLDA)scheme on directed social network graphs is proposed in this ***,node sets with different importance are divided by the firefly algorithm and constrained connectedness upper approximation,and they are performed different-degree anonymity protection to meet the different privacy requirements of ***,a new graph anonymity method is proposed,which achieves the addition and removal of edges with the help of fake *** addition,to improve the utility of the anonymized graph,a new edge cost criterion is proposed,which is used to select the most appropriate edge to be ***,to protect the community structure of the original graph as much as possible,fake nodes contained in a same community are merged prior to fake nodes contained in different *** results on real datasets show that the newly proposed MLDA scheme is effective to balance the privacy and utility of the anonymized graph.

关键词： directed social network graph graph publishing k-degree anonymity community structure graph utility

Bioactivity of silk fibroin peptides on vascular endothelial cells

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Frontiers of Materials Science 2024年第1期18卷 85-94页

作者： Mengnan Dai Meng Li Peixuan Li Boyu Zhang Jianmei Xu Jiannan Wang National Engineering Laboratory for Modern Silk College of Textile and Clothing EngineeringSoochow UniversityNo.199 Ren-ai RoadSuzhou Industrial ParkSuzhou 215123China

To determine the contribution of non-repetitive domains to the bioactivity of the heavy chain in silk fibroin(SF)macromolecules,a gene motif f(1)encoding this fragment and its multimers(f(4)and f(8))were biosynthesized from Escherichia coli *** on the positive application potential of SF materials for the vascular tissue engineering,this study focused on examining the active response of these polypeptides to vascular endothelial *** polypeptides F(1),F(4),and F(8)were separately grafted onto the surfaces of bioinert polyethylene terephthalate(PET)films,resulting in remarkable improvements in the spread and proliferation of human umbilical vein endothelial cells(HUVECs).Using the same grafting dose,the activity of cells on polypeptide-modified PET films enhanced with the increase of the molecular weight of those grafted polypeptides from F(1)to F(8).Meanwhile,the growth of cells on the surface of the alkaline-treated PET film was improved,indicating that the hydrophilicity of the surface material had influence on the growth of ***,on surfaces with the same water contact angle,the spread and proliferation activity of cells on PET films were significantly lower than those on polypeptide-modified PET films.

关键词： silk fibroin heavy chain non-repetitive fragment cytoactive endothelial cell

Restoration of the JPEG Maximum Lossy Compressed Face Images with Hourglass Block-GAN

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Computers, Materials & Continua 2024年第3期78卷 2893-2908页

作者： Jongwook Si Sungyoung Kim Department of Computer ai Convergence Engineering Kumoh National Institute of TechnologyGumi39177Korea Department of Computer Engineering Kumoh National Institute of TechnologyGumi39177Korea

In the context of high compression rates applied to Joint Photographic Experts Group(JPEG)images through lossy compression techniques,image-blocking artifacts may *** necessitates the restoration of the image to its original *** challenge lies in regenerating significantly compressed images into a state in which these become ***,this study focuses on the restoration of JPEG images subjected to substantial degradation caused by maximum lossy compression using Generative Adversarial Networks(GAN).The generator in this network is based on theU-Net *** features a newhourglass structure that preserves the characteristics of the deep *** addition,the network incorporates two loss functions to generate natural and high-quality images:Low Frequency(LF)loss and High Frequency(HF)*** loss uses a pretrained VGG-16 network and is configured using a specific layer that best represents *** can enhance the performance in the high-frequency *** contrast,LF loss is used to handle the low-frequency *** two loss functions facilitate the generation of images by the generator,which can mislead the discriminator while accurately generating high-and low-frequency ***,by removing the blocking effects frommaximum lossy compressed images,images inwhich identities could be recognized are *** study represents a significant improvement over previous research in terms of the image resolution performance.

关键词： JPEG lossy compression restoration image generation GAN