Hi

Bin shi laoshi is very nicee :)

Feb 4th, servers stop

fixes very soon

WHy?

Because of cloud computig, elastic usage

Big data

machine learning

first time : 1960

second time : 1995-2005 Grid Computing

third time : 2008-present : cloudcomputing

data center got smaller and smaller now or not still dependent on those large data centers in sea and equatic destroying enviornment and increasing global warming?? I mean if there is wireless data technology, is there any wireless data center or virtual data center at present?

virtual machine concept windows linux combined together on VM

still primary user needs a real machine in hand like mobile phone to access Virtual datacenter

every 15years

Advanced Polymer Materials in Medical Supplies

Prof Yang Zhang Xi'an Jiaotong Uni.

Reflection on Modern Management under Epidemic

Introduction to Machine Learning

Minnan Luo- Xi'an Jiaotong Uni

Machine learning isa specific subset of AI that trains a amchine how to learn. Machine learning plays a significant role in AI

such as:

• Robotics
• Speech recognition
• Speech eynthesis
• Natural Language Processing
• Text Mining
• Computer vision
• Data Mining Analysis Engineering

Machine learning uses algorithms that learn from/make predictions on data.

Big data analytics: Fourth paradigm

Classic application of Big Data Technology

Feng Tian Ph.D. (Engineering), Professor

History of industrial revolution

1. Steam technology
2. Power tech. petrochemical smelting
3. Computer tech. info. tech. Internet technology. 1980-1995
4. AI, Big data, Robotics, VR/AR, Quantum info. Teck, Clean power, Bio tech, IoT. 2008current

The relationship btw Clouyd and AI

• AI services is deployed on Cloud​​​Cloud data center is where many cloud servers are centralized.

"Utility Computing" is always a dream

• Several attempts at utility computing in history
• First time: 1960s: Multics (Bell labs, MIT)
• Network and terminal equipment become bottlenecks
• Sec time: 1995-2005: Grid Computing
• Third time: 2008-now: Cloud Computing.

First and second computing failed, the third compouting which is cloud computing succeeded.

Why???

Becsuse the maaturity of virtualization technology is the key.

IBM: IT 15 years cycle perspective

Former IBM CEO Louis Gerstner believes that Computing model changes every 15years

Online Shopping

One day transaction data

• 660 million active user's
• 268.4 billion RMB

Peak performance of 11.11 systems

• peak order creation per sec: 544,000
• Peak real-time computing processing speed: 2.551 billion
• Data processing volume: 982 PB(1 day)

Smart Transportation

Didi has 21 million cars driving data in real-time 

• planning the optimal route​​​​​​​
• Improve traffic lights
• Respond to the user's car request

From the Quarantine to Cloud Computing

Bin Shi

Email: shibin@xjtu.edu.cn. Xi'an Jiaotong Uni.

Online Class data in China 

Before the pandemic outbreak:

• users: 135 million
• Active users: 87million

Now  during the pandemic outbreak:

• Users: near 400 million
• Active Users: 203 million

​​​​​​​Cloud computing has elastic feature, on demand usage, etc.

The 70th IKCEST programme for silk road enginmeering science and technology development

In sep and oct of 2013, Chinese president Xi Jiping proposed the ininative of joint construction of silk road economic belt and 21st-century maritime silk road (one belt one road) in his official visit to middle Asia and South East Asia.

Contacts: Mr.Du

duhaipeng@xjtu.edu.cn

1. Introduction to IKCEST

Motivation III: Big data Era

• Big data- Large pools of data that come from internet, internent odf thyings(IOT), digital libraries, archieves, museum and etc.
• "Big data" challanges conventional IT technologies, and now is the hottest word in the industry and academia.
• many UNESCO memeber states, especially the developing countries, currently are in urgent need of the abilities of processing and analyzing the available big data.

International Knowledge centre for engineering sciences and technology(IKCEST)was approved in 2013, under the auspices of UENSCO.

signing and unveilling ceremony held in Beijing on June 2, 2014

It aims at providing knowledge and education for policy-makers and engineeering science and technology professionals in the world, with particular reference to the developing countries.

1. Chinese Academy of engineering(CAE) is a natioanl organization composed of elected memebers with the highest honor in the engineering science and technology community in china.

• CAE founded in 1994 in Beijing.

CAE initiates and conducts strategic study and provides consultancy for decision making for the nation's key issues of engineering science and technology.

Four major tasks

1. Platform development } Organization
2. Academic exchanges } Publicity
3. Trainning programmes } Management

International cooperation } management.

[liuchang@cae.cn.]

Big data are high volume, high velocity and / or high veity informtion assets that require new forms of processing to enable enhanced decision making, insight discory and process optimization.

Artificial Intelligence 

• Machine Learning ​​​​​​​​​​​​​​​​​​​​​

​​​​​​​Data-Driven Nature ​​​​​​​

成多数从 大V深V但是发的的