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2020-12-27 | 128 |
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Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. AI is an interdisciplinary science with multiple approaches, but advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry.
Less than a decade after breaking the Nazi encryption machine Enigma and helping the Allied Forces win World War II, mathematician Alan Turing changed history a second time with a simple question: "Can machines think?" Turing's paper "Computing Machinery and Intelligence" (1950), and it's subsequent Turing Test, established the fundamental goal and vision of artificial intelligence.
The expansive goal of artificial intelligence has given rise to many questions and debates. So much so, that no singular definition of the field is universally accepted.
In their groundbreaking textbook Artificial Intelligence: A Modern Approach, authors Stuart Russell and Peter Norvig approach the question by unifying their work around the theme of intelligent agents in machines. With this in mind, AI is "the study of agents that receive percepts from the environment and perform actions." Norvig and Russell go on to explore four different approaches that have historically defined the field of AI:
1. Thinking humanly
2. Thinking rationally
3. Acting humanly
4. Acting rationally
The first two ideas concern thought processes and reasoning, while the others deal with behavior. Norvig and Russell focus particularly on rational agents that act to achieve the best outcome, noting "all the skills needed for the Turing Test also allow an agent to act rationally."
While addressing a crowd at the Japan AI Experience in 2017, DataRobot CEO Jeremy Achin began his speech by offering the following definition of how AI is used today: "AI is a computer system able to perform tasks that ordinarily require human intelligence... Many of these artificial intelligence systems are powered by machine learning, some of them are powered by deep learning and some of them are powered by very boring things like rules."
There exist the following AI examples:
Smart assistants (like Siri and Alexa)
Manufacturing and drone robots
Optimized, personalized healthcare treatment recommendations
Conversational bots for marketing and customer service
Robo-advisors for stock trading
Spam filters on email
Social media monitoring tools for dangerous content or false news
Song or TV show recommendations from Spotify and Netflix
Self-driving cars
Neural networks
9. Read and translate the text:
TEXT 5. Quantum computers
Quantum computers are incredibly powerful machines that take a new approach to processing information. Built on the principles of quantum mechanics, they exploit complex and fascinating laws of nature that are always there, but usually remain hidden from view. By harnessing such natural behavior, quantum computing can run new types of algorithms to process information more holistically. They may one day lead to revolutionary breakthroughs in materials and drug discovery, the optimization of complex manmade systems, and artificial intelligence. Quantum computers are expected to open doors that we once thought would remain locked indefinitely.
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Classical computers encode information in bits. Each bit can take the value of 1 or 0. These 1s and 0s act as on/off switches that ultimately drive computer functions. Quantum computers are based on qubits, which operate according to two key principles of quantum physics: superposition and entanglement. Superposition means that each qubit can represent both a 1 and a 0 at the same time. Entanglement means that qubits in a superposition can be correlated with each other; that is, the state of one (whether it is a 1 or a 0) can depend on the state of another. Using these two principles, qubits can act as more sophisticated switches, enabling quantum computers to function in ways that allow them to solve difficult problems that are intractable using today’s computers.
Quantum systems may untangle the complexity of molecular and chemical interactions leading to the discovery of new medicines and materials. They may enable ultra-efficient logistics and supply chains, such as optimizing fleet operations for deliveries during the holiday season. They may help us find new ways to model financial data and isolate key global risk factors to make better investments. And they may make facets of artificial intelligence such as machine learning much more powerful.
Areas that may be revolutionized by quantum computing:
Medicine & Materials
Untangling the complexity of molecular and chemical interactions leading to the discovery of new medicines and materials.
Supply Chain & Logistics
Finding the best solutions for ultra-efficient logistics and global supply chains, such as optimizing fleet operations for deliveries during the holiday season.
Financial Services
Finding new ways to model financial data and isolating key global risk factors to make better investments.
Artificial Intelligence
Making facets of artificial intelligence such as machine learning much more powerful when data sets are very large, such as in searching images or video.
10. Prepare short summaries of two from the texts above. (See Appendix II for annotation details).
11. Use the texts above to prepare oral presentations about new developments in IT& Telecoms. (See Appendix III).
Appendix I
Appendix II
MAKING A TEXT SUMMARY
Основная схема устного пересказа любого текста/статьи
1. The title of the text/article | The text/article is headlined… The headline/title of the text/article I have read is… |
2. The main idea of the text/article | The main idea of the text/article is… The text/article is about…/The text/article is devoted to… The text/article deals (is concerned) with… The text/article touches upon the issue of… The purpose of the text/article is to give the reader some information on… The aim of the text/article is to provide the reader with some material on… |
3. The contents of the text/article. Some facts, names, figures | The text is divided into… logical parts. The first/ second/ third logical part deals with the problems/statements/points of/ contains information about/ gives the definition of…. The author starts by telling (the reader) that… The author (of the text/article) writes (reports, states, stresses, thinks, notes, considers, believes, analyses, points out, says, describes) that… / draws reader’s attention to... Much attention is given to… According to the text/article … The text/article goes on to say that… It is reported (shown, stressed) that … It is spoken in detail about… From what the author says it becomes clear that… The fact that … is stressed. The text/article gives a detailed analysis of… Further the author reports (writes, states, stresses, thinks, notes, considers, believes, analyses, points out, says, describes) that… / draws reader’s attention to... In conclusion the author writes (reports, states, stresses, thinks, notes, considers, believes, analyses, points out, says, describes) that… / draws reader’s attention to... The author comes to the conclusion that… The following conclusions are drawn: … |
4. Your opinion | I found the text/article (rather) interesting (important, useful) as / because … I think / In my opinion/ To my mind the text/article is (rather) interesting (important, informative, instructive, useful, relevant) as / because … I found the text/article too hard to understand / rather boring as / because … What I found most interesting/ boring/ shocking/ amusing/ irritating/ baffling/ incredible, etc. about this text/article is... |
Appendix III
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MAKING an ORAL REPORT
Основная схема устного рассказа по теме
1. The beginning (приветствие, представление себя, темы) | I would like to talk about…. |
2. Ordering the main points (план рассказа) | Firstly...secondly...thirdly...lastly... First of all...then... next...after that...finally... |
3. Introducing the subject | I'd like to start by... Let's begin by... ∙ First of all, I'll... Starting with... ∙ I'll begin by... |
4. Starting another subject | Now we'll move on to... Let me turn now to... Next... Turning to... I'd like now to discuss... Let's look now at... |
5. Summarizing and concluding | In conclusion,... Right, let's sum up …∙ I'd like now to recap... Let's summarize briefly what we've looked at... |
6. Express pros and cons / your own point of view on the problem discussed | To my mind, ………………… In my opinion, ………………… From my point of view……… |
Tips for oral presentation
Introduction
In my presentation I’ll be proposing…
In my presentation today I’m going to explain…
This morning I would like to review…
The subject (topic) of this presentation is…
I’ll be developing three main points. First, I’ll give you… Second,… Lastly,…
My presentation will be in two main parts. In the first part I’ll… And then I’ll…
Firstly, I’d like to… Secondly, we can… And I’ll finish with…
Development
I’d like to start with an overview of the …
Let’s start with an overview of…
I’ll begin by analyzing the…
Let me start with some facts about…
So that’s the general picture for… and now let’s look at…
That completes my overview of…so now I’d like to move on to…
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If I could now turn to…
My next point is…
Now, turning to…
Now, what about…?
Let me now move on to…
Conclusion
So, to summarize (sum up)…
At this stage I’d like to go over (run through)…
So, as we’ve seen in this presentation today…
As I’ve explained…
I’d happy to answer any questions.
If you have any questions, I’d be pleased to answer them.
I would welcome any comments (suggestions).
Thank you for your attention.
Handling questions
So, what you’re asking is…
If I understand the question correctly, you would like to know…
When you say… do you mean…?
I’m sorry I didn’t hear. Which slide was it?
Sorry, could you repeat that?
Yes, I quite see your point… However, I know you’ll appreciate…
Yes, it’s something we’ve thought about a lot. But …
I know it’s difficult to accept the decision, but the evidence is there…
I’m afraid I’m not the right person to answer that.
Х is a much better person to answer that.
Could we leave that till later?
Appendix IV
List of Abbreviations
AI Artificial Intelligence
ASDL Asymmetric Digital Subscriber Line
ATM Automatic Teller Machine
BAN Body Area Network
CAN Campus Area Network
CCTV Closed-Circuit TV
CD Compact Disk
CPU Central Processing Unit
DAB Digital Audio Broadcasting
DAW Digital Audio Workstation
DNA Delivery Network Accelerator
DSL Digital Subscriber Line
DTP Desktop Publishing
DV Digital Video (camera)
DVD Digital Video Disk
E-commerce Electronic Commerce
FTP File Transfer Protocol
GPRS General Packet Radio Service
GPU Graphics Processing Unit
GPS Global Positioning System
GSM Global System for Mobile communication
HAN Home Area Network
HD High Definition
HMD Head-Mounted Display
HTML Hyper Text Markup Language
ICT Information Communication Technology
ID Identification
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IRC Internet Relay Chat
ISP Internet Service Provider
IT Information Technology
Jpeg Joint Photographic Experts Group
LAN Local Area Network
LBS Location-Based Services
LCD Liquid Crystal Display
LED Light Emitting Diode (TV)
LMS Learning Management System
LTE Long Term Evolution
MAN Metropolitan Area Network
MP3 Media Player 3 (player)
MPEG Moving Picture Experts Group
MPLS Multi-Protocol Label Switching
MSP Managed Service Provider
OS Operating System
OSI Open System Interconnection model
OSS Open Source Software
PA Personal Assistant
PABX Private Branch Exchange
PAN Personal Area Network
PBX Private Branch Exchange
PC Personal Computer
PDA Personal Digital Assistant
PIN Personal Identification Number
Ping Packet Internet Groper (test)
POP Points of Presence
PSTN Public Switched Telephone Network
PTT Public Telephone and Telegraph
RAM Random Access Memory
ROM Read only Memory
RW Read-Write
RFID Radio Frequency Identification
SaaS Software as s Service
SAN Storage area Network
SIM-card Subscriber Identification Module
SME Small & Medium Size Enterprises
SMS Short Message Service
TCP/IP Transmission Control Protocol/Internet Protocol
TFT Thin Film Transistor (screen)
TV Television
VLE Virtual Leaning Environment
VoIP Voice over IP
VPN Virtual Private Network
VR Virtual Reality
VRML Virtual Reality Modeling Language
UMTS Universal Mobile Telecom System
UPS Uninterruptable Power Supply
URL Uniform Resource Locator
USB Universal Serial Bus
WAN Wide Area Network
WAP Wireless Application Protocol
Wi-Fi Wireless Fidelity
Wi-Max Worldwide Interoperability for Microwave Access
WLAN Wireless Local Area Network
WWW World Wide Web
Список литературы
1. Английский язык в области компьютерной техники и технологий. Professional English for Computing: учеб. пособие / Л.В. Квасова [и др.]. 3 –е изд., стер.- М., КНОРУС, 2014. – 176 с.
2. Радовель В.А. Английский язык в сфере информационных технологий. English in the field of Information Technology: учеб – практическое пособие / В.А. Радовель.- М.: КНОРУС, 2017.- 232 с.
3. Компьютерная техника. Computer Engineering: учеб. пособие /М.Г. Бондарев [и др.]; под общей редакцией Г.А. Краснощековой. – 4-е изд., стер. – М.: ФЛИНТА: НАУКА, 2016.- 288 с.
4. Евдокимова Н.В. Английский язык для IT- cпециалистов: продвинутый уровень. / Н.В. Евдокимова. – Ростов н/Д.: ФЕНИКС, 2014. – 334 с.
5. Микроэлектроника: настоящее и будущее: учеб. пособие по английскому языку для технических вузов. Microelectronics: present and future. / М.А. Бух, Л.П. Зайцева. 3 –е изд., испр. и доп. – М.: Высшая школа, 2008.- 262 с.
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6. Слепович В.С. Деловой английский. Business communication: Учеб. Пособие / В.С. Слепович. - Мн.: "ТетраСиситемс", 2002. - 256 с.
7. Murphy R. Essential Grammar in Use. Book for elementary students of English. / R. Murhy. 4th edition. – Cambridge.: Cambridge University Press, 2015. – 320 c.
8. Murphy R. English Grammar in Use. Book for intermediate students of English. / R. Murhy. 4th edition. – Cambridge.: Cambridge University Press, 2012. – 380 c.
9. Gourlay L. English for IT and the Internet. / L. Gourlay, P. Hullock. - Thomson, 2006. - 128 с.
10. Esteras S.R. Professional English in Use: For Computers and the Internet / S.R. Esteras, E.M. Fabre. - Cambridge.: Cambridge University Press, 2007. – 118 с.
11. McCarthy T. R. English for Telecoms and Information Technology/T.R. McCarthy, M. Duckworth. – Oxford University Press, 2007. – 95 с.
Сыроватская Елена Фёдоровна
Желтова Елена Петровна
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