Back in Oct. 1950, British techno-visionary Alan Turing published an article called "Computing Machinery and Intelligence," in the journal MIND that raised what at the time must have seemed to many like a science-fiction fantasy.
"May not machines carry out something which ought to be described as thinking but which is very different from what a man does?" Turing asked.
Turing thought that they could. Moreover, he believed, it was possible to create software for a digital computer that enabled it to observe its environment and to learn new things, from playing chess to understanding and speaking a human language. And he thought machines eventually could develop the ability to do that on their own, without human guidance. "We may hope that machines will eventually compete with men in all purely intellectual fields," he predicted.
Nearly 70 years later, Turing's seemingly outlandish vision has become a reality. Artificial intelligence, commonly referred to as AI, gives machines the ability to learn from experience and perform cognitive tasks, the sort of stuff that once only the human brain seemed capable of doing.
AI is rapidly spreading throughout civilization, where it has the promise of doing everything from enabling autonomous vehicles to navigate the streets to making more accurate hurricane forecasts. On an everyday level, AI figures out what ads to show you on the web, and powers those friendly chatbots that pop up when you visit an e-commerce website to answer your questions and provide customer service. And AI-powered personal assistants in voice-activated smart home devices perform myriad tasks, from controlling our TVs and doorbells to answering trivia questions and helping us find our favorite songs.
But we're just getting started with it. As AI technology grows more sophisticated and capable, it's expected to massively boost the world's economy, creating about $13 trillion worth of additional activity by 2030, according to a McKinsey Global Institute forecast.
"AI is still early in adoption, but adoption is accelerating and it is being used across all industries," says Sarah Gates, an analytics platform strategist at SAS, a global software and services firm that focuses upon turning data into intelligence for clients.
It's even more amazing, perhaps, that our existence is quietly being transformed by a technology that many of us barely understand, if at all something so complex that even scientists have a tricky time explaining it.
"AI is a family of technologies that perform tasks that are thought to require intelligence if performed by humans," explains Vasant Honavar, a professor and director of the Artificial Intelligence Research Laboratory at Penn State University. "I say 'thought,' because nobody is really quite sure what intelligence is."
Honavar describes two main categories of intelligence. There's narrow intelligence, which is achieving competence in a narrowly defined domain, such as analyzing images from X-rays and MRI scans in radiology. General intelligence, in contrast, is a more human-like ability to learn about anything and to talk about it. "A machine might be good at some diagnoses in radiology, but if you ask it about baseball, it would be clueless," Honavar explains. Humans' intellectual versatility "is still beyond the reach of AI at this point."
According to Honavar, there are two key pieces to AI. One of them is the engineering part that is, building tools that utilize intelligence in some way. The other is the science of intelligence, or rather, how to enable a machine to come up with a result comparable to what a human brain would come up with, even if the machine achieves it through a very different process. To use an analogy, "birds fly and airplanes fly, but they fly in completely different ways," Honavar. "Even so, they both make use of aerodynamics and physics. In the same way, artificial intelligence is based upon the notion that there are general principles about how intelligent systems behave."
AI is "basically the results of our attempting to understand and emulate the way that the brain works and the application of this to giving brain-like functions to otherwise autonomous systems (e.g., drones, robots and agents)," Kurt Cagle, a writer, data scientist and futurist who's the founder of consulting firm Semantical, writes in an email. He's also editor of The Cagle Report, a daily information technology newsletter.
And while humans don't really think like computers, which utilize circuits, semi-conductors and magnetic media instead of biological cells to store information, there are some intriguing parallels. "One thing we're beginning to discover is that graph networks are really interesting when you start talking about billions of nodes, and the brain is essentially a graph network, albeit one where you can control the strengths of processes by varying the resistance of neurons before a capacitive spark fires," Cagle explains. "A single neuron by itself gives you a very limited amount of information, but fire enough neurons of varying strengths together, and you end up with a pattern that gets fired only in response to certain kinds of stimuli, typically modulated electrical signals through the DSPs [that is digital signal processing] that we call our retina and cochlea."
"Most applications of AI have been in domains with large amounts of data," Honavar says. To use the radiology example again, the existence of large databases of X-rays and MRI scans that have been evaluated by human radiologists, makes it possible to train a machine to emulate that activity.
AI works by combining large amounts of data with intelligent algorithms series of instructions that allow the software to learn from patterns and features of the data, as this SAS primer on artificial intelligence explains.
In simulating the way a brain works, AI utilizes a bunch of different subfields, as the SAS primer notes.
The concept of AI dates back to the 1940s, and the term "artificial intelligence" was introduced at a 1956 conference at Dartmouth College. Over the next two decades, researchers developed programs that played games and did simple pattern recognition and machine learning. Cornell University scientist Frank Rosenblatt developed the Perceptron, the first artificial neural network, which ran on a 5-ton (4.5-metric ton), room-sized IBM computer that was fed punch cards.
But it wasn't until the mid-1980s that a second wave of more complex, multilayer neural networks were developed to tackle higher-level tasks, according to Honavar. In the early 1990s, another breakthrough enabled AI to generalize beyond the training experience.
In the 1990s and 2000s, other technological innovations the web and increasingly powerful computers helped accelerate the development of AI. "With the advent of the web, large amounts of data became available in digital form," Honavar says. "Genome sequencing and other projects started generating massive amounts of data, and advances in computing made it possible to store and access this data. We could train the machines to do more complex tasks. You couldn't have had a deep learning model 30 years ago, because you didn't have the data and the computing power."
AI is different from, but related to, robotics, in which machines sense their environment, perform calculations and do physical tasks either by themselves or under the direction of people, from factory work and cooking to landing on other planets. Honavar says that the two fields intersect in many ways.
"You can imagine robotics without much intelligence, purely mechanical devices like automated looms," Honavar says. "There are examples of robots that are not intelligent in a significant way." Conversely, there's robotics where intelligence is an integral part, such as guiding an autonomous vehicle around streets full of human-driven cars and pedestrians.
"It's a reasonable argument that to realize general intelligence, you would need robotics to some degree, because interaction with the world, to some degree, is an important part of intelligence," according to Honavar. "To understand what it means to throw a ball, you have to be able to throw a ball."
AI quietly has become so ubiquitous that it's already found in many consumer products.
"A huge number of devices that fall within the Internet of Things (IoT) space readily use some kind of self-reinforcing AI, albeit very specialized AI," Cagle says. "Cruise control was an early AI and is far more sophisticated when it works than most people realize. Noise dampening headphones. Anything that has a speech recognition capability, such as most contemporary television remotes. Social media filters. Spam filters. If you expand AI to cover machine learning, this would also include spell checkers, text-recommendation systems, really any recommendation system, washers and dryers, microwaves, dishwashers, really most home electronics produced after 2017, speakers, televisions, anti-lock braking systems, any electric vehicle, modern CCTV cameras. Most games use AI networks at many different levels."
AI already can outperform humans in some narrow domains, just as "airplanes can fly longer distances, and carry more people than a bird could," Honavar says. AI, for example, is capable of processing millions of social media network interactions and gaining insights that can influence users' behavior an ability that the AI expert worries may have "not so good consequences."
It's particularly good at making sense of massive amounts of information that would overwhelm a human brain. That capability enables internet companies, for example, to analyze the mountains of data that they collect about users and employ the insights in various ways to influence our behavior.
But AI hasn't made as much progress so far in replicating human creativity, Honavar notes, though the technology already is being utilized to compose music and write news articles based on data from financial reports and election returns.
Given AI's potential to do tasks that used to require humans, it's easy to fear that its spread could put most of us out of work. But some experts envision that while the combination of AI and robotics could eliminate some positions, it will create even more new jobs for tech-savvy workers.
"Those most at risk are those doing routine and repetitive tasks in retail, finance and manufacturing," Darrell West, a vice president and founding director of the Center for Technology Innovation at the Brookings Institution, a Washington-based public policy organization, explains in an email. "But white-collar jobs in health care will also be affected and there will be an increase in job churn with people moving more frequently from job to job. New jobs will be created but many people will not have the skills needed for those positions. So the risk is a job mismatch that leaves people behind in the transition to a digital economy. Countries will have to invest more money in job retraining and workforce development as technology spreads. There will need to be lifelong learning so that people regularly can upgrade their job skills."
And instead of replacing human workers, AI may be used to enhance their intellectual capabilities. Inventor and futurist Ray Kurzweil has predicted that by the 2030s, AI have achieved human levels of intelligence, and that it will be possible to have AI that goes inside the human brain to boost memory, turning users into human-machine hybrids. As Kurzweil has described it, "We're going to expand our minds and exemplify these artistic qualities that we value."
- Artificial Intelligence (AI) Definition - Investopedia - May 31st, 2020
- The Temptations Of Artificial Intelligence Technology And The Price Of Admission - Forbes - May 31st, 2020
- Artificial intelligence offers a chance to optimize COVID-19 treatment in international partnership - Vanderbilt University News - May 31st, 2020
- Reality Check: The Benefits of Artificial Intelligence - AiThority - May 31st, 2020
- Thanks To Renewables And Machine Learning, Google Now Forecasts The Wind - Forbes - May 31st, 2020
- Artificial intelligence is hopelessly biased - and that's how it will stay - TechRadar India - May 31st, 2020
- Top Artificial Intelligence Trends that will Change the Decade - Analytics Insight - May 31st, 2020
- Art and artifice - The Indian Express - May 31st, 2020
- The Role of Artificial Intelligence in Ethical Hacking | EC-Council Official Blog - EC-Council Blog - May 31st, 2020
- Microsoft is cutting dozens of MSN news production workers and replacing them with artificial intelligence - Seattle Times - May 31st, 2020
- Artificial intelligence software improves accuracy, doubles speed in evaluating CT scans of advanced cancer - UAB News - May 31st, 2020
- Coronavirus tests the value of artificial intelligence in medicine - FierceHealthcare - May 31st, 2020
- The Use of Artificial Intelligence by Investment Advisers: Considerations Based on an Advisers Fiduciary Duties - JD Supra - May 31st, 2020
- Lecturer in Artificial Intelligence for Digital Infrastructures job with UNIVERSITY OF BRISTOL | 208485 - Times Higher Education (THE) - May 31st, 2020
- Artificial Intelligence (AI) Market to Reach USD 202.57 Billion by 2026; Rising Demand for Cloud-based Applications to Aid Growth: Fortune Business... - May 31st, 2020
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- How artificial intelligence is keeping time-critical shipments on track during pandemic - FreightWaves - May 31st, 2020
- Coronavirus Update: Recent FTC Guidance on the Use of Artificial Intelligence and Algorithms in the Age of COVID-19 - Government Contracts Legal Forum - May 31st, 2020
- COVID-19 Impact: A Mix of Challenges and Opportunities | Artificial Intelligence-as-a-Service (AIaaS) Market 2020-2024 | Growing Adoption of Cloud... - May 31st, 2020
- IIT-Ropar and TSW Launch a PG Programme in Artificial Intelligence - THE WEEK - May 31st, 2020
- MS in Artificial Intelligence | Artificial Intelligence - May 19th, 2020
- What is Artificial Intelligence? | Azure Blog and Updates ... - May 19th, 2020
- What Are the Advantages of Artificial Intelligence ... - May 19th, 2020
- AI Tutorial | Artificial Intelligence Tutorial - Javatpoint - May 19th, 2020
- It's Called Artificial Intelligencebut What Is Intelligence? - WIRED - May 19th, 2020
- Powering the Artificial Intelligence Revolution - HPCwire - May 19th, 2020
- Artificial intelligence is struggling to cope with how the world has changed - ZDNet - May 19th, 2020
- An AI future set to take over post-Covid world - The Indian Express - May 19th, 2020
- A New Way To Think About Artificial Intelligence With This ETF - MarketWatch - May 19th, 2020
- Artificial intelligence-based imaging reconstruction may lead to incorrect diagnoses, experts caution - Radiology Business - May 19th, 2020
- Artificial Intelligence in the Covid Frontline - Morningstar - May 19th, 2020
- Patent Analytics Market to Reach USD 1,668.4 Million by 2027; Integration of Machine Learning and Artificial Intelligence to Spur Business... - May 19th, 2020
- Artificial Intelligence in Cancer: How Is It Used in Practice? - Cancer Therapy Advisor - May 19th, 2020
- Five Important Subsets of Artificial Intelligence - Analytics Insight - May 19th, 2020
- Ethical artificial intelligence: Could Switzerland take the lead? - swissinfo.ch - May 19th, 2020
- The Future of Artificial Intelligence: Edge Intelligence - Analytics Insight - May 19th, 2020
- 5 Ways Artificial Intelligence Is Changing Architecture - May 15th, 2020
- Keysight Validates Artificial Intelligence (AI) and ... - May 15th, 2020
- What Is Artificial Intelligence? Examples and News in 2019 ... - May 15th, 2020
- Artificial Intelligence (AI) Is Nothing Without Humans - E3zine.com - May 15th, 2020
- Artificial intelligence is helping seniors who are isolated during the coronavirus pandemic - WXYZ - May 15th, 2020
- ValleyML is launching a Machine Learning and Deep Learning Boot Camp from July 14th to Sept 10th and AI Expo Series from Sept 21st to Nov 19th 2020.... - May 15th, 2020
- TSA Issues Road Map to Tackle Insider Threat With Artificial Intelligence - Nextgov - May 15th, 2020
- The Expanding Role Of Artificial Intelligence In Tax - Forbes - May 15th, 2020
- Artificial Intelligence: Technology Of The Future - Forbes India - May 15th, 2020
- SparkCognition and Milize to Offer Automated Machine Learning Solutions for Financial Institutions to the APAC Region - PRNewswire - May 15th, 2020
- Alpha Modus Allowed 2nd Patent Leveraging Artificial Intelligence for Monitoring and Analyzing Consumer Behavior - Yahoo Finance - May 15th, 2020
- Tesla : Artificial Intelligence - the .AI domain is on the rise - marketscreener.com - May 15th, 2020
- Artificial Intelligence Can Only Help Architecture if We Ask the Right Questions - ArchDaily - May 15th, 2020
- Fighting COVID-19: Artificial Intelligence community to help citizens and the healthcare system - Canada NewsWire - May 15th, 2020
- Understanding the Four Types of Artificial Intelligence - May 9th, 2020
- Artificial intelligence Facts for Kids - May 9th, 2020
- 4 Main Types of Artificial Intelligence - G2 - May 9th, 2020
- Artificial intelligence project lets Holocaust survivors ... - May 9th, 2020
- Artificial intelligence - Simple English Wikipedia, the ... - May 9th, 2020
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- A.I. Artificial Intelligence movie review (2001) | Roger Ebert - May 9th, 2020
- Artificial Intelligence is Evolving to Process the World Like Humans - Interesting Engineering - May 9th, 2020
- Drug research turns to artificial intelligence in COVID-19 fight - Business in Vancouver - May 9th, 2020
- Women wanted: Why now could be a good time for women to pursue a career in AI - CNBC - May 9th, 2020
- Artificial Intelligence Used to Identify Light Sources With Far Fewer Measurements - Unite.AI - May 9th, 2020
- The Impending Artificial Intelligence Revolution in Healthcare - Op-Ed - HIT Consultant - May 9th, 2020
- COVID-19 identification in X-ray images by Artificial intelligence - News Anyway - May 9th, 2020
- Is artificial intelligence the answer to the care sector amid COVID-19? - Descrier - May 9th, 2020
- Artificial intelligence - Wikipedia - April 26th, 2020
- artificial intelligence | Definition, Examples, and ... - April 26th, 2020
- What Is Artificial Intelligence (AI)? | PCMag - April 26th, 2020
- Artificial Intelligence And Automation Top Focus For Venture Capitalists - Forbes - April 26th, 2020
- Benefits & Risks of Artificial Intelligence - Future of ... - April 26th, 2020
- Artificial intelligence can take banks to the next level - TechRepublic - April 26th, 2020
- Health care of tomorrow, today: How artificial intelligence is fighting the current, and future, COVID-19 pandemic | TheHill - The Hill - April 26th, 2020
- How Artificial Intelligence, IoT And Big Data Can Save The Bees - Forbes - April 26th, 2020
- First meeting of the new CEPEJ Working Group on cyberjustice and artificial intelligence - Council of Europe - April 26th, 2020
- When the coronavirus hit, California turned to artificial intelligence to help map the spread - 60 Minutes - CBS News - April 26th, 2020
- Artificial Intelligence in the Oil & Gas Industry, 2020-2025 - Upstream Operations to Witness Significant Growth - ResearchAndMarkets.com - Yahoo... - April 26th, 2020
- Pre & Post COVID-19 Market Estimates-Artificial Intelligence (AI) Market in Retail Sector 2019-2023| Increased Efficiency of Operations to Boost... - April 26th, 2020
- EUREKA Clusters Artificial Intelligence (AI) Call | News item - The Netherlands and You - April 26th, 2020
- A guide to healthy skepticism of artificial intelligence and coronavirus - Brookings Institution - April 2nd, 2020
- AI vs your career? What artificial intelligence will really do to the future of work - ZDNet - April 2nd, 2020
- Return On Artificial Intelligence: The Challenge And The Opportunity - Forbes - April 2nd, 2020