predict the window of opportunity for screening) National Cancer Institute – What is Cancer 3A computational model for cancer initiation 4 A single cell • Consider a bunch of ‘pseudo’ cells. • Cells have a stochastic process (Markov process). Birth event Mutation event Random Time 𝑢12 𝜆1A computational model for cancer initiation 4 A single cell • Consider a bunch of ‘pseudo’ cells. • Cells have rnd_generator; std::exponential_distribution<> exp{rate}; double time = exp(rnd_generator); 𝑢12 𝜆1A computational model for cancer initiation 5 Healthy cell Cell that harbors a neutral mutation Cancerous

[tile] DB libraries, and large-scale graph analytics. Open-source software projects resulting from his work include the Matrix Template Library, the Boost Graph Library and Open MPI. 。Phil Ratzloff *。Distinguished relationships between elements of a data set *，Without regard to what the data set actually is *。 Graph theoretical (abstract) results can be applied to many different practical (concrete) problems -theory cvMuNKCATIOWS 有二有 灿瑟必帮 和一是/第 手太则光大 A，训四 昱 站 -本| 厅 是，主 半一司、|全之体 ~ 对 /人-看 奋才全 和 全原 和 刁曾 The Future ls Big Graph: on meetalThngs soneaiadman MD] Basic Principles *。The C++ standard library (nee STL) provides

Selection ✓ Order by ❏ Group by ✓ Query ✓ Limit ✓ Expression Compatibility ✓ Join ✓ Subquery ✓ Graph traverse ✓ Out direction ✓ In direction ✓ Bidirection ✓ Edge traverse ✓ Distinct Index 01.

Scott, Principal Engineer at CMU SEI Graph/ML/AI algorithms for large- and small- scale parallel systems. Working on GBTL, a linear algebra-based C++ library for graph analytics.[DISTRIBUTION STATEMENT GraphBLAS community, C API Overview of our draft C++ API How might this interoperate with standard C++, graph library proposal? 4[DISTRIBUTION STATEMENT A] This material has been approved for public release GraphBLAS community, C API Overview of our draft C++ API How might this interoperate with standard C++, graph library proposal? 5[DISTRIBUTION STATEMENT A] This material has been approved for public release

Knowledge Graph meet Python Yongpan Sheng 目录 CONTENTS The Pipeline of Knowledge Graph Construction by Data- driven manner Python Tools for Graph Data Management Domain-specific Knowledge Graph Construction relation, object>  Mapping from natural questions to structured queries executable on knowledge graph （机器的潜台词：“我”会推理，so easy ！）。 所以，通俗的来说，在AI system中：要么从原有的知识体系中直接提取信息来使用，要 么进行推理。 将知识融合在机器中，使机器能够利 BigKE将显著提升机器的认知水平。 Preliminaries 本页PPT借鉴于复旦大学肖仰华老师《大数据时代的知识工程与知识管理》 Knowledge Graph – KG引领KE复兴  Knowledge graph is a large-scale semantic network consisting of entities and concepts as well as

top-down task graph What is Task Graph-based Programming System (TGPS) Code 4• TGPS encapsulates function calls and their dependencies in a top-down task graph What is Task Graph-based Programming task graph What is Task Graph-based Programming System (TGPS) Code A B C D B A C D 6• TGPS encapsulates function calls and their dependencies in a top-down task graph What is Task Graph-based precede(task_d); 19 20 sched.schedule(); 21 sched.wait(); B A C D 1. Easy to write and express a task graph 2. Allow to implement irregular parallel decomposition strategies 8Existing TGPSs on Heterogenous

Chuan Zhou, and Yue Hu. 2020. Graph neural architecture search. In IJCAI, Vol. 20. 1403–1409. [12] Matheus Nunes and Gisele L Pappa. 2020. Neural Architecture Search in Graph Neural Networks. In Brazilian 317. [13] Huan Zhao, Lanning Wei, and Quanming Yao. 2020. Simplifying Architecture Search for Graph Neural Network. arXiv preprint arXiv:2008.11652 (2020). [14] Jin Xu, Mingjian Chen, Jianqiang Huang [20] Chengshuai Zhao, Yang Qiu, Shuang Zhou, Shichao Liu, Wen Zhang, and Yanqing Niu. 2020. Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction prediction

Azure Notebook Azure Machine Learning • 拥有不同运算性能的机器 • 降低成本，按需付费 • 支持不同的开源框架：TenserFlow、PyTorch、MXNet 等 Azure Notebook Jupyter Notebook on Azure • 免费 • 全托管 • 无需安装 • 无需配置 Workflow 需要准备哪些东西？ • Azure

Sparrow Ideas  Today, most of the main stream AI frameworks such like Tensorflow, PyTorch and MXNet embrace Python+C++ for their software layers design.  While Rust is coming!

28 Python in Cloud AI Computing – Xilinx Machine Learning Suite Supported Frameworks: • Caffe • MxNet • Tensroflow Examples • DeepDetect REST Tutorial • DeepDetect Webcam • Image Classification •