Artificial intelligence （AI）, robotics, and intelligent systems are increasingly penetrating our society. With recent advances in AI, especially in intelligent control and computing, robots are gaining the ability t...Artificial intelligence （AI）, robotics, and intelligent systems are increasingly penetrating our society. With recent advances in AI, especially in intelligent control and computing, robots are gaining the ability to learn, make decisions, and operate in ways much similar to humans.To a large extent.展开更多
Layer pseudospins,exhibiting quantum coherence and precise multistate controllability,present significant potential for the advancement of future computing technologies.In this work,we propose an in-memory probabilist...Layer pseudospins,exhibiting quantum coherence and precise multistate controllability,present significant potential for the advancement of future computing technologies.In this work,we propose an in-memory probabilistic computing scheme based on the electrical manipulation of layer pseudospins in layered materials,by exploiting the interaction between real spins and layer pseudospins.展开更多
Ubiquitous computing must incorporate a certain level of security.For the severely resource constrained applications,the energy-efficient and small size cryptography algorithm implementation is a critical problem.Hard...Ubiquitous computing must incorporate a certain level of security.For the severely resource constrained applications,the energy-efficient and small size cryptography algorithm implementation is a critical problem.Hardware implementations of the advanced encryption standard(AES)for authentication and encryption are presented.An energy consumption variable is derived to evaluate low-power design strategies for battery-powered devices.It proves that compact AES architectures fail to optimize the AES hardware energy,whereas reducing invalid switching activities and implementing power-optimized sub-modules are the reasonable methods.Implementations of different substitution box(S-Boxes)structures are presented with 0.25μm 1.8 V CMOS(complementary metal oxide semiconductor)standard cell library.The comparisons and trade-offs among area,security,and power are explored.The experimental results show that Galois field composite S-Boxes have smaller size and highest security but consume considerably more power,whereas decoder-switch-encoder S-Boxes have the best power characteristics with disadvantages in terms of size and security.The combination of these two type S-Boxes instead of homogeneous S-Boxes in AES circuit will lead to optimal schemes.The technique of latch-dividing data path is analyzed,and the quantitative simulation results demonstrate that this approach diminishes the glitches effectively at a very low hardware cost.展开更多
Computational seismology is a relatively new interdisciplinary field spanning computational techniques in theoretical and observational seismology. It studies numerical methods and their implementation in various theo...Computational seismology is a relatively new interdisciplinary field spanning computational techniques in theoretical and observational seismology. It studies numerical methods and their implementation in various theoretical and applied problems in seismology.展开更多
Optical switch matrices are critical components in data centers,telecommunications,and advanced computing systems,facilitating dynamic and flexible routing of optical signals to support the increasing demands of data ...Optical switch matrices are critical components in data centers,telecommunications,and advanced computing systems,facilitating dynamic and flexible routing of optical signals to support the increasing demands of data transmission.As data traffic escalates exponentially,scalability of these matrices becomes paramount.However,the constrained physical space necessitates high integration density,which poses significant challenges related to switching element size and thermal crosstalk,particularly in thermally driven optical switch matrices.In this paper,we propose a scalable optical switch matrix employing ultra-compact thermally tunable micro-disk resonators(MDRs).At each waveguide crossing,dual MDRs are strategically placed to support multiple direction routings,thereby enabling rearrangeable non-blocking connectivity and increasing input/output(I/O)port density.To mitigate thermal crosstalk between adjacent MDRs,specifically engineered routing waveguides are integrated into the matrix.A proof-of-concept silicon photonic 1×8×2λswitch chip is fabricated and evaluated.With the use of the chip,an optical data transmission is experimentally demonstrated.The proposed switch matrix exhibits strong scalability and significantly reduced thermal crosstalk,showcasing its potential for future optical interconnection networks.展开更多
The emergence of generative artificial intelligence (AI) has catalyzed a new wave of intelligence development, resulting in significant growth in computing capabilities and intensifying competition for advanced comput...The emergence of generative artificial intelligence (AI) has catalyzed a new wave of intelligence development, resulting in significant growth in computing capabilities and intensifying competition for advanced computational power. In-Memory computing based on magnetic random-access memory (MRAM)offers advantages such as high speed and low power consumption is primed for enabling high-performance AI computing[1-6].展开更多
Computational spectrometers are at the forefront of spectroscopy,promising portable,on-chip,or in-situ spectrum analysis through the integration of advanced computational techniques into optical systems.However,existi...Computational spectrometers are at the forefront of spectroscopy,promising portable,on-chip,or in-situ spectrum analysis through the integration of advanced computational techniques into optical systems.However,existing computational spectrometer systems have yet to fully exploit optical properties due to imperfect spectral responses,resulting in increased system complexity and compromised performance in resolution,bandwidth,and footprint.In this study,we introduce optical chaos into spectrum manipulation via cavity deformation,leveraging high spatial and spectral complexities to address this challenge.By utilizing a single chaotic cavity,we achieve high diversity in spectra,facilitating channel decorrelation of 10 pm and ensuring optimal reconstruction over 100 nm within an ultra-compact footprint of 20×22μm^(2)as well as an ultra-low power consumption of 16.5 mW.Our approach not only enables state-of-the-art on-chip spectrometer performance in resolution-bandwidth-footprint metric,but also has the potential to revolutionize the entire computational spectrometer ecosystem.展开更多
Impact statement We have developed the GReedy Accumulated strategy for Protein Engineering(GRAPE)to improve enzyme stability across various applications,combining advanced computational methods with a unique clusterin...Impact statement We have developed the GReedy Accumulated strategy for Protein Engineering(GRAPE)to improve enzyme stability across various applications,combining advanced computational methods with a unique clustering and greedy accumulation approach to efficiently explore epistatic effects with minimal experimental effort.To make this strategy accessible to nonexperts,we introduced GRAPE‐WEB,an automated,user‐friendly web server that allows the design,inspection,and combination of stabilizing mutations without requiring extensive bioinformatics knowledge.展开更多
文摘Artificial intelligence （AI）, robotics, and intelligent systems are increasingly penetrating our society. With recent advances in AI, especially in intelligent control and computing, robots are gaining the ability to learn, make decisions, and operate in ways much similar to humans.To a large extent.
基金supported by the National Natural Science Foundation of China(Grant Nos.12322407,62122036,and 62034004)the Natural Science Foundation of Jiangsu Province(Grant No.BK20233001)+5 种基金the National Key R&D Program of China(Grant Nos.2023YFF0718400 and 2023YFF1203600)the Leading-edge Technology Program of Jiangsu Natural Science Foundation(Grant No.BK20232004)the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB44000000)Innovation Program for Quantum Science and Technologysupport from the Fundamental Research Funds for the Central Universities(Grant Nos.020414380227,020414380240,and 020414380242)the e-Science Center of Collaborative Innovation Center of Advanced Microstructures。
文摘Layer pseudospins,exhibiting quantum coherence and precise multistate controllability,present significant potential for the advancement of future computing technologies.In this work,we propose an in-memory probabilistic computing scheme based on the electrical manipulation of layer pseudospins in layered materials,by exploiting the interaction between real spins and layer pseudospins.
基金the"863"High Technology Research and Development Program of China(2006AA01Z226)the Scientific Research Foundation of Huazhong University of Science and Technology(2006Z011B)the Program for New Century Excellent Talents in University(NCET-07-0328).
文摘Ubiquitous computing must incorporate a certain level of security.For the severely resource constrained applications,the energy-efficient and small size cryptography algorithm implementation is a critical problem.Hardware implementations of the advanced encryption standard(AES)for authentication and encryption are presented.An energy consumption variable is derived to evaluate low-power design strategies for battery-powered devices.It proves that compact AES architectures fail to optimize the AES hardware energy,whereas reducing invalid switching activities and implementing power-optimized sub-modules are the reasonable methods.Implementations of different substitution box(S-Boxes)structures are presented with 0.25μm 1.8 V CMOS(complementary metal oxide semiconductor)standard cell library.The comparisons and trade-offs among area,security,and power are explored.The experimental results show that Galois field composite S-Boxes have smaller size and highest security but consume considerably more power,whereas decoder-switch-encoder S-Boxes have the best power characteristics with disadvantages in terms of size and security.The combination of these two type S-Boxes instead of homogeneous S-Boxes in AES circuit will lead to optimal schemes.The technique of latch-dividing data path is analyzed,and the quantitative simulation results demonstrate that this approach diminishes the glitches effectively at a very low hardware cost.
文摘Computational seismology is a relatively new interdisciplinary field spanning computational techniques in theoretical and observational seismology. It studies numerical methods and their implementation in various theoretical and applied problems in seismology.
基金National Natural Science Foundation of China(U22A2018,62071042)。
文摘Optical switch matrices are critical components in data centers,telecommunications,and advanced computing systems,facilitating dynamic and flexible routing of optical signals to support the increasing demands of data transmission.As data traffic escalates exponentially,scalability of these matrices becomes paramount.However,the constrained physical space necessitates high integration density,which poses significant challenges related to switching element size and thermal crosstalk,particularly in thermally driven optical switch matrices.In this paper,we propose a scalable optical switch matrix employing ultra-compact thermally tunable micro-disk resonators(MDRs).At each waveguide crossing,dual MDRs are strategically placed to support multiple direction routings,thereby enabling rearrangeable non-blocking connectivity and increasing input/output(I/O)port density.To mitigate thermal crosstalk between adjacent MDRs,specifically engineered routing waveguides are integrated into the matrix.A proof-of-concept silicon photonic 1×8×2λswitch chip is fabricated and evaluated.With the use of the chip,an optical data transmission is experimentally demonstrated.The proposed switch matrix exhibits strong scalability and significantly reduced thermal crosstalk,showcasing its potential for future optical interconnection networks.
文摘The emergence of generative artificial intelligence (AI) has catalyzed a new wave of intelligence development, resulting in significant growth in computing capabilities and intensifying competition for advanced computational power. In-Memory computing based on magnetic random-access memory (MRAM)offers advantages such as high speed and low power consumption is primed for enabling high-performance AI computing[1-6].
基金financially supported by the National Key R&D Program of China(2023YFB2804702)the Natural Science Foundation of China(NSFC)(62175151,62341508)Shanghai Municipal Science and Technology Major Project.We also thank the Center for Advanced Electronic Materials and Devices(AEMD)of Shanghai Jiao Tong University(SJTU)and United Microelectronics Center(CUMEC)for fabrication support.
文摘Computational spectrometers are at the forefront of spectroscopy,promising portable,on-chip,or in-situ spectrum analysis through the integration of advanced computational techniques into optical systems.However,existing computational spectrometer systems have yet to fully exploit optical properties due to imperfect spectral responses,resulting in increased system complexity and compromised performance in resolution,bandwidth,and footprint.In this study,we introduce optical chaos into spectrum manipulation via cavity deformation,leveraging high spatial and spectral complexities to address this challenge.By utilizing a single chaotic cavity,we achieve high diversity in spectra,facilitating channel decorrelation of 10 pm and ensuring optimal reconstruction over 100 nm within an ultra-compact footprint of 20×22μm^(2)as well as an ultra-low power consumption of 16.5 mW.Our approach not only enables state-of-the-art on-chip spectrometer performance in resolution-bandwidth-footprint metric,but also has the potential to revolutionize the entire computational spectrometer ecosystem.
基金supported by the National Key R&D Program of China(grant no.2021YFC2103600)the National Natural Science Foundation of China(31822002,32170033,and 32422001)+2 种基金the Key Research Program of Frontier Sciences(ZDBS‐LY‐SM014)the Biological Resources Program(KFJBRP‐009 and KFJ‐BRP‐017‐58)from the Chinese Academy of Sciences,the Informatization Plan of Chinese Academy of Sciences(CAS‐WX2021SF‐0111)the Youth Innovation Promotion Association CAS(2022086).
文摘Impact statement We have developed the GReedy Accumulated strategy for Protein Engineering(GRAPE)to improve enzyme stability across various applications,combining advanced computational methods with a unique clustering and greedy accumulation approach to efficiently explore epistatic effects with minimal experimental effort.To make this strategy accessible to nonexperts,we introduced GRAPE‐WEB,an automated,user‐friendly web server that allows the design,inspection,and combination of stabilizing mutations without requiring extensive bioinformatics knowledge.
