新闻和活动

17 May 2021
The second quantum revolution, the transition from quantum theory to quantum engineering, is leading us towards practical quantum computing. However, there are still many obstacles hindering practical quantum computing. In this talk, I will briefly review the challenges and research opportunities in the state-of-the-art quantum computing engineering technology stacks, including quantum computing devices, peripheral control hardware architecture, compiler design/optimization, programming language design, etc. Read more
17 May 2021
Internet of things demand large performance improvements in integrated circuit systems. Two possible approaches exist for advancing IC fabrication for future electronics. I would discuss on materials development associated with these two approaches. Read more
16 Mar 2021
Flexible bioelectronics have greatly improved the way of human-machine interaction due to the fact that they can provide seamless interactions with humans. Especially, flexible and stretchable inorganic thin-film electronics play an increasingly important role because of the advantages of mature processibility and rich physicochemical properties of inorganic functional materials. However, stable strategy to render flexibility and stretchability while maintaining excellent performance of inorganic thin films is the most demanding and challenging both for academic and industrial communities. Read more
22 Jan 2021
The rapid development in the field of artificial intelligence has relied principally on the advances in computing hardware However, their system scale and energy efficiency are still limited compared to the brain Memristor or redox resistive switch, provides a novel circuit building block that may address these challenges in neuromorphic computing and machine learning In this talk, I will first briefly introduce the promises and challenges with regards to the use of memristors in realizing bio inspired computing Secondly, I will show examples of memristor based neuromorphic computing Novel Read more
14 Jan 2021
Analog computing pre-dates digital computing but has been long forgotten due to the fast development of the latter. While very powerful, digital computing is highly inefficient at performing perception related tasks, and the problem becomes increasingly significant with the fast development of artificial intelligence and transistor scaling approaching their physical (and economic) limit. Since memristors were experimentally shown in 2008 by Hewlett Packard Labs, researchers have been extensively exploring their capability to store and process information in the analog domain. Read more
20 Nov 2020
Neural Networks (NNs) have been widely employed in modern artificial intelligence (AI) systems due to their unprecedented capability in classification, recognition and detection. However, the massive data communication between the processing units and the memory has been proven to be the main bottleneck to improve the efficiency of NNs based hardware. Furthermore, the significant power demand for massive addition and multiplication limits its adoption at the edge devices. In addition, the cost is another major concern for an edge device. Read more
13 Nov 2020
Spintronics has been widely studied for decades and various applications have been incubated from spintronics Particularly, spintronic memory has been considered as one of the most promising nonvolatile memory candidates to address the leakage power consumption in the post Moore’s era To date, spintronic memory family has evolved in four generation technology advancement and has achieved mass production in standalone and embedded applications On the other hand, from the architectural perspective, data transfer bandwidth and the related power consumption has become the most critical bottlene Read more
06 Nov 2020
Speaker: Bin GAO, Tsinghua University Date: 6 Nov 2020 Time: 10:00-11:30 AM Read more
30 Oct 2020
As Moore’s law-based device scaling and accompanying performance scaling trends slow down, and the rapid growth of data-intensive applications in the era of “Internet of Things” and “Big Data”, there are increasing interests in emerging technologies and computational paradigms that enable more efficient information processing. Meanwhile, in the context of traditional Boolean circuits and/or von Neumann architectures, it is challenging for beyond-CMOS devices to compete with the CMOS technology as simple replacements. Read more
12 Sep 2019
为加强科大与在职专业人员的互动,科大成立了持续进修学院,总部设在深港特别合作示范区福田保税区。其总部位于深港特别合作示范区福田保税区。已于2019年底装修完毕并可随时投入使用。 为将科研成果产业化,港科大-持续进修学院将在深港特别合作示范区福田保税区成立,为工业界提供科技教育支持。 学院将设在地标性的长富金茂大厦,隶属工程学院,同时为科大各部门和办公室提供一个与中国香港及内地高等教育机构和业界接触的平台。 作为一所盈利性的学院,我们将立足国际,致力成为一个提供高质量高层管理教育及高科技与行业发展动态分享的专业培训中心。学院将举办短期课程、工作坊、研讨会,并推动联合计划、研究和产业合作。 学院已获得福田区政府和工程学院的资金支持,并由电子与计算机工程学院陈文新教授担任创始主任。 持续进修学院位于超高层建筑的37层,是福田区政府与科大深圳研究院协议提供给科大的三层楼之一。科大将在大楼的40层开设数据科学、金融科技、机器人和自动化等实验室,而41层将为科大的创业群体提供孵化空间和支持服务。   Read more