TECHNOLOGY

ARTIFICIAL INTELLIGENCE

INTRODUCTION

The term ‘Artificial Intelligence’ (‘AI’) was first used by Dartmouth College’s John McCarthy in 1956. There are several accepted definitions. One of the simplest (from Merriam-Webster) is: “The capability of a machine to imitate intelligent human behavior” (although some would suggest that “intelligent human behavior” is a rather rare commodity). In fact, AI has now gone far further than just imitating human behavior – what it has done is to start by replicating the behavior, and then to learn to perform far better than any human can.

Some of the tasks that AI can now perform better than most (if not all) humans include:

  • Visual perception (e.g. facial recognition, diagnostic imaging)
  • Decision-making (e.g. autonomous vehicle operation)
  • Language translation (starting in 1954 with English to Russian, and now encompassing over 100 languages)
  • Game-playing (Chess in 1996 by IBM’s Deep Blue, Jeopardy in 2011 by IBM’s Watson, GO in 2016 by Google’s AlphaGo)
  • General learning (e.g. selecting personal preferences)

AI involves software that implements a number of complex algorithms that may include processing massive amounts of data. It is used to control moving, physical devices, and these applications are referenced in this website as either Robotics (i.e. ground) or Drone (more precisely, Unmanned Aerial Vehicle) Technologies.

AI impacts almost every job in every industry; so, in this technology section of the website, separate pages are assigned to those industries that are most impacted currently:

  1. Agriculture
  2. Medicine
  3. Retail
  4. Transport (Autonomous Vehicles only)

This page includes videos and articles that relate to AI generally. Industries that do not fall into the four assigned separate pages are included in the AI-Miscellaneous page.

LEARN FROM THESE YOUTUBE VIDEOS

... AND LEARN MORE FROM THESE ADDITIONAL VIDEOS

 

REVIEW THESE INFORMATIVE ARTICLES - AND READ THOSE THAT INTEREST YOU

Meet Tengai, the job interview robot who won't judge you (Service/HR - 2019-03 - BBC)

The world’s first robot designed to carry out unbiased job interviews is being tested by Swedish recruiters. Tengai is the brainchild of Stockholm’s Furhat Robotics. Measuring 16in tall and weighing 7.7lbs, the head sits on a table across from the candidate. The goal is to offer job interviews that are free from any of the unconscious biases that managers and recruiters can often bring to the hiring process.

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PepsiCo is "Relentlessly automating" its workforce (Manufacturing - 2019-02 - Gizmodo)

PepsiCo is investing its $4.9 billion 2018 annual profits in spending $2.5 billion (mostly on severance payments) to restructure the company by laying off many of its 263,000 employees and automating its warehouse and factory equipment.

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The rise of the robot reporter (Media/Newspapers - 2019-02 - New York Times)

About 1/3rd of Bloomberg News content uses automated technology, churning out thousands of articles on company earnings reports. Robot reporters have been prolific producers of articles on sports results, and on earthquakes and political donations.

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Concept: Autonomous hotel room picks you up and delivers you to your hotel (Service/Hotel - 2019-01 - USA Today)

Aprilli Design Studio introduces the autonomous hotel room concept, complete with basic sleeping, working and washroom functions, which you order like a Uber, and which takes you to your destination with stops and with drone roof-top deliveries.

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Examples of AI advances in various industries (AI - 2018-11 - Zeitguide)

Examples of interesting and innovative applications of AI in the following industries: Advertising, Art, Automotive, Aviation, Banking, Energy, Fashion, Finance, Military, Pharmaceuticals, Recruiting, Retail, Security, and Sports.

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A flowchart to determine what is and is not AI (AI - 2018-11 - MIT Technology Review)

Machine learning in its infancy (AI - 2018-11 - TechCrunch)

Examples of how machine learning can come up with unexpected behaviors – really showing how critical the precise instructions need to be (and how negative behavior needs to be defined).

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90% of firms already using AI to boost customer experience and increase revenue (AI - 2018-11 - TechRepublic.com)

According to a 2018 survey by MIT Technology Review and Genesys, 90% of global executives said their firms now use AI solutions to improve the customer experience. On average, between 25% and 50% of all customer inquiries are now completely resolved through automated channels.

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What is Machine Learning (AI - 2018-11 - MIT Technology Review)

A simple flowchart to test if an algorithm is using machine learning.

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WeChat enables a cashless society in China (AI - 2018-11 - Stansberry Research)

An example of how dinner out with friends can be initiated, planned, implemented and paid for – all using WeChat.

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20 terrifying uses of AI (AI - 2018-08 - TechRepublic)

Robots predicting the future; Robot soldiers; Schizophrenic robot; Economic meltdown; Robots that deceive; Robot lovers; Survival robots; Police using AI algorithms to predict crimes; AI-based medical treatment; Autonomous drones and weapons; Supercomputer with imagination; AI is granted citizenship; Self-driving cars gone wrong; AI communicating with AI; AI taking jobs; AI hackers; Robots in our brains; AI machines learning right from wrong; AI in court; Not-so-smart home AI. Almost all are currently in use!

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AI is replacing white collar office jobs: 3 Case Studies (AI - 2018-07 - TechRepublic)

AI systems are already augmenting and replacing human workers in the fashion industry, law, and medicine.

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Everything you need to know about Machine Learning (AI - 2018-05 - ZDNet)

A comprehensive guide to machine learning, including a definition, its relation to AI, the main types (supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning), neural networks, deep learning, its success and uses, AlphaGo, inherent bias, best courses, and online services.

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Five myths about AI (AI - 2018-04 - Washington Post)

The proposed five myths are: 1. You can differentiate between a machine and a human. 2. The U.S. is falling behind in the race for AI breakthroughs. 3. AI will automate the economy, and put people out of work. 4. AI can remove human bias from decision-making. 5. Artificial intelligence is a threat to mankind. The fundamental flaw in the article is that AI and its developers will improve exponentially to the point that myths 2-5 become reality.

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Report from British House of Lords: AI in the UK: Ready, willing and able? (AI - 2018-04 - TechRepublic)

The UK House of Lords’ Select Committee on Artificial Intelligence has issued a report ‘AI in the UK: Ready, willing and able?’ that predicts widespread changes to employment, with AI enhancing and creating many new jobs, but also destroying roles and reducing the manpower needed for a large number of existing tasks. The report warns that workers will need to retrain throughout their lives to secure the skills needed when AI reshapes the job market. Childhood education will also need to be reformed, with schools teaching both the skills needed to work alongside AI and to take full advantage of the technology available. The other central concern revolves around the ethics of how AI might be used.

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AI and jobs: Retraining will become a "lifelong necessity", warns report (AI - 2018-04 - TechRepublic)

The UK House of Lords’ Select Committee on Artificial Intelligence has issued a report ‘AI in the UK: Ready, willing and able?’ that predicts widespread changes to employment, with AI enhancing and creating many new jobs, but also destroying roles and reducing the manpower needed for a large number of existing tasks. The report warns that workers will need to retrain throughout their lives to secure the skills needed when AI reshapes the job market. Childhood education will also need to be reformed, with schools teaching both the skills needed to work alongside AI and to take full advantage of the technology available. The other central concern revolves around the ethics of how AI might be used.

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Robots are being used in science labs to conduct tests (AI/Testing - 2018-04 - Bloomberg BusinessWeek)

In a Carnegie Mellon University, Pittsburgh lab, a robot arm lifts a bottle filled with chemical reagents and carries it over a bank of test tubes, dispensing a precise number of drops into each one, and carrying out multiple tests. Soon, machines won’t just run the experiments—they’ll devise them, too. AI software designed to identify and sort patterns has been deployed across a wide swath of science, from marine biology to astronomy.

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Lawyer bots take the hassle out of fighting parking tickets and property taxes (AI/Law - 2018-04 - Recode)

New services, like DoNotPay, are encouraging people to challenge inaccurate parking tickets and property taxes online. Users are asked a series of questions, which creates a letter with a formal legal defense to be mailed in or submitted online. The free service has helped drivers across the U.S. and U.K. squash more than 450,000 parking tickets representing $13 million in fines; with users winning dismissals more than 50 percent of the time.

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How Al in accounting and auditing can help your business reduce costs (AI/Accounting - 2018-04 - GreySuits)

Financial services firms are investing in AI to reduce costs and improve efficiency. AUDITING: Machine learning analyzeS thousands of documents, quickly developing summaries, and producing useful information and criteria. AI speedS up tedious tasks, such as checking debit and credit entries. ACCOUNTING: AI can analyze broad trends, revealing financial insights that help develop better long-term strategies. AI can maintain a constant focus on regulatory compliance and reporting and can assist in risk management.

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Elon Musk: We need a public body to oversee AI implementations (AI - 2018-03 - TechRepublic)

lon Musk called for more symbiosis between humans and AI, with a public body to oversee AI implementations. His primary concern is that AI experts don’t believe a machine could ever be smarter than they are.

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The biggest tech takeaways from the 2018 World Economic Forum (AI - 2018-02 - SingularityHub)

Major topics include: AI, Automation, Bitcoin, Cybersecurity, Regulating Tech Giants, and Biotech.

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The Singularity may be only 20 years away (AI - 2018-02 - Futurism)

The singularity is the point in time when advances in AI lead to the creation of a machine smarter than humans. Experts vary in forecasting when – Ray Kurzweil (2045), Louis Rosenberg (2030s), Patrick Winston (2040), Jürgen Schmidhuber, the “father of artificial intelligence” (2048).

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An executive guide to artificial intelligence, from machine learning and general AI to neural networks (AI - 2018-02 - ZDNet)

AI systems will typically demonstrate at least some behaviors associated with human intelligence. This is a general defnition and introduction to AI, including discussion of narrow AI and general AI, machine learning, neural networks, evolutionary computation, and expert systems.

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Everything you need to know about AI (AI - 2018-02 - ZDNet)

A series of reference and current news articles about AI.

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Fact vs Fiction - How far off is the Singularity (AI - 2018-01 - Futurism)

The thoughts of 7 experts (including videos from Ray Kurzweil and Elon Musk) separating sci-fi from actual developments in AI, and indicating how close they think we are to reaching the singularity.

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