搜索结果: 1-15 共查到“计算机科学技术 Scale”相关记录41条 . 查询时间(0.046 秒)
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...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Large scale device simulations
大规模 设备 仿真
2023/5/5
As the device size shrinks to nanosize scale, the quantum mechanical effect and atomic level fluctuations become important. The traditional TCAD based on continuous medium model will no longer work. T...
A combination of ecological field methods and cutting-edge artificial intelligence has helped an interdisciplinary research group detect eelgrass wasting disease at nearly three dozen sites along a 1,...
Engineers enlist AI to help scale up advanced solar cell manufacturing（图）
人工智能 太阳能电池 钙钛矿材料 光伏电池 机器学习
2023/6/7
Perovskites are a family of materials that are currently the leading contender to potentially replace today’s silicon-based solar photovoltaics. They hold the promise of panels that are far thinner an...
2017超越图像网大规模视觉识别挑战研讨会（Workshop on Beyond ImageNet Large Scale Visual Recognition Challenge）
2017年 超越图像网大规模视觉识别挑战 研讨会
2017/6/22
The workshop will mark the last of the ImageNet Challenge competitions, and focus on unanswered questions and directions for the future. The workshop will 1) present current results on the challenge c...
2017生物混合小型机器人与系统研讨会（Biohybrid Machine by Small-scale Robotics and Systems）
2017 生物混合 小型机器人 系统 研讨会
2017/5/22
This workshop provides an opportunity to share and discuss with frontier researches on small-scale robotics and systems for developing the “Biohybrid Machine”. This innovative research field is import...
第六届大型机器学习与大数据分析并行与分布式计算国际研讨会（The 6th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics）
第六届 机器学习 大数据分析 并行 分布式计算 国际研讨会
2017/4/25
Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms from Artificial Intelligence (AI) for massive datasets is a major technical challenge in the time of "Big Data". The past te...
2017年多方城域规模网络中的实时分析研讨会（Workshop on Real-time Analytics in Multi-Party, Metro-scale Networks）
2017年 多方城域规模网络中的实时分析 研讨会
2017/3/30
Many Internet-of-Things (IoT) applications require real-time analytics to maintain situational awareness and make decisions for quick action. Most real-world IoT environments will involve:
· Multi-la...
Over the past few decades, human recognition has been extensively studied. Most of the research concentrates on typical physiological traits, e.g., face, fingerprint, voice, etc., which are usually di...
2017分布式云计算国际研讨会（International Workshop on Distributed Cloud Computing: Applying Scale Out to the Data Center）
分布式云计算国际 研讨会
2017/3/21
Most of the focus in public cloud computing technology over the last 10 years has been on massive, centralized data centers with thousands or hundreds of thousands of servers. The data centers are typ...
第一届极端集成计算和大数据管理与分析研讨会（1st Workshop on Integration of Extreme Scale Computing and Big Data Management and Analytics）
第一届 极端集成计算 大数据管理与分析 研讨会
2017/3/21
The deployment of extreme scale computing platforms in research and industry coupled with the proliferation of large and distributed digital data sources have the potential for unprecedented insights ...
Modern Big Data increasingly appears in the form of complex networks and graphs. Examples include social networks, citation networks, communication networks, the World Wide Web. Researchers make use o...
Constraint-based program analyses are appealing because elaborate analyses can be described with a concise and simple set of constraint generation rules. Constraint resolution algorithms have been dev...
In his text Visualizing Data, William Cleveland demonstrates how the aspect ratio of a line chart can affect an analyst’s
perception of trends in the data. Cleveland proposes an optimization techniqu...
Crowd-scale Interactive Formal Reasoning and Analytics
MOOC theorem prover formal logic online education
2016/5/24
Large online courses often assign problems that are gradable by simple checks such as multiple choice, but these checks are inappropriate for domains in which students may produce an infinity of corre...