Understanding Artificial Intelligence
1. Artificial Intelligence and Deep Learning
AI has exploded across industry lines, thanks to the widespread GPUs that makeparallel processing possible. While AI-geared algorithms are prevailing in topapps and services, many organizations are still learning to adapt machinelearning in a way that enhances company production. Even though manybusinesses are still in the stages of gathering data and testing betatechnologies, it is a common prediction that eventually enterprise leaderswill see intelligent and automated processes as a crucial element of typicalbusiness management.Artificial intelligence has been met with a variety of responses. However,now, with the introduction of deep learning, even those new to AI concepts cansee that it is less about installing robotics to replace human hands than itis about creating assistive tools that accomplish tasks and processinformation at a scale that human effort can not.In 2018, the practical uses of AI in everything from manufacturing tohealthcare and beyond are reaching ever-increasing heights of potential. It’sall about figuring out how to put artificial thinking into practice to createhelpful systems, especially regarding cybersecurity and intelligent Things.
Artificial General Intelligence
General AI, also known as human-level AI or strong AI, is the type ofArtificial Intelligence that can understand and reason its environment as ahuman would. General AI has always been elusive. We’ve been saying for decadesthat it’s just around the corner.RELATED: The biggest AI developments of 2016But the more we delve into it, the more we realize that it’s hard toachieve—and the more we come to appreciate the miracle that is behind thehuman brain. It’s really hard to define what a human-level artificialintelligence would be. You just need to look at how you perceive things,juggle between multiple unrelated thoughts and memories when making adecision. That’s very hard for computers to achieve.Humans might not be able to process data as fast as computers, but they canthink abstractly and plan, solve problems at a general level without goinginto the details. They can innovate, come up with thoughts and ideas that haveno precedence. Think about the invention of the telephone, ships, telescopes,concepts such as mail, social media, gaming, virtual reality. It’s very hardto teach a computer to invent something that isn’t there.Some say we’ll see general AI before the turn of the century. Some, such asGoogle’s Peter Norvig and IBM’s Rob High believe we don’t even need humanlevel AI.
Artificial Super Intelligence
According to University of Oxford scholar and AI expert Nick Bostrom, when AIbecomes much smarter than the best human brains in practically every field,including scientific creativity, general wisdom and social skills, we’veachieved Artificial Super Intelligence.ASI is even more vague than AGI at this point.By some accounts, the distance between AGI and ASI is very short. It’ll happenin mere months, weeks, or maybe the blink of an eye and will continue at thespeed of light. What happens then, no one knows for sure. Some scientists suchas Stephen Hawking see the development of full artificial intelligence as thepotential end of humanity. Others, such as Google’s Demis Hassabis, believethe smarter AI gets, the better humans will become at saving the environment,curing diseases, explore the universe, and at understanding themselves.RELATED: Will general AI lead us to apocalypse or utopia?As for me, for the moment, I’m pestered by these smart online ads that seem tobe shadowing my every move on the internet, and these YouTube suggestions thatare all worth watching. Narrow AI is getting on my nerves. I guess General AIwill drive me crazy, if I live to see it.Artificial intelligence vs human intelligence
14) Artificial Intelligence
Made for a school competition in 2009, it provides many examples of cutting-edge applications of AI at the time.Many of the examples, such as mind controlled prosthetic limbs, Ultra HalAssistant and Dexter- the robot provide a trip down the AI memory lane wherethe applications of AI seemed like a page out of a sci-fi novel. It presents alist of areas where AI can assist human beings.It concludes with a series of questions, some of which, are still beingdebated. Such as machines replacing human beings’ and human unemployment dueto the use of machines.* * *
AI vs. Machine Learning
Most of our smartphone, daily device or even the internet uses Artificialintelligence. Very often, AI and machine learning are used interchangeably bybig companies that want to announce their latest innovation. However, Machinelearning and AI are different in some ways.AI- artificial intelligence- is the science of training machines to performhuman tasks. The term was invented in the 1950s when scientists beganexploring how computers could solve problems on their own.Artificial Intelligence vs Machine LearningArtificial Intelligence is a computer that is given human-like properties.Take our brain; it works effortlessly and seamlessly to calculate the worldaround us. Artificial Intelligence is the concept that a computer can do thesame. It can be said that AI is the large science that mimics human aptitudes.Machine learning is a distinct subset of AI that trains a machine how tolearn. Machine learning models look for patterns in data and try to conclude.In a nutshell, the machine does not need to be explicitly programmed bypeople. The programmers give some examples, and the computer is going to learnwhat to do from those samples.
Understanding Artificial Intelligence
Artificial Intelligence or AI is the intelligence shown by machines. Usually,the term Artificial Intelligence is used when a machine behaves like a humanin activities such as problem-solving or learning, which is also known asMachine Learning. AI is a science and technology based on disciplines such as: * Computer Science * Biology * Psychology * Mathematics * Engineering * LinguisticsThe main goal of Artificial Intelligence is to create a technology that allowscomputers and machines to function in an intelligent manner. The entireproblem has been broken down into the following sub-problems * Learning * Natural Language Processing * Reasoning and problem solving * Planning * Creativity * Social Intelligence * General Intelligence * Knowledge representation * Perception * Motion and manipulation
Artificial Intelligence – Current Usage
There are many applications of artificial intelligence at present.Banks and other financial institutions rely on intelligent software, whichprovide accurate analysis of the data and helps make predictions based uponthat data. Stocks and commodities are being traded without any humaninterference – all thanks to the intelligent systems. Artificial intelligenceis used for weather forecasting. It is used by airlines to keep a check on itssystem. Robotics is the greatest success story, in the field of artificialintelligence. Spacecrafts are send by NASA and other space organizations intospace, which are completely manned by robots. Even some manufacturingprocesses are now being completely undertaken by robots. Robots are being usedin industrial processes, that are dangerous to human beings, such as innuclear power plants. Usage of artificial intelligence is quite evident invarious speech recognition systems, such as IBM ViaVoice software and WindowsVista.
Artificial Intelligence in Business
There are many types of AI technology, such as machine learning, deeplearning, natural language processing, and cognitive computing, AI can be usedfor image and speech recognition, predictive analytics, AI is not used bybusinesses only, but also the government, education, science and otherresearchers, and others.Artificial intelligence (AI) in business becomes a commonly-used competitivetool, It is used in better chatbots for customer service, data analytics,making predictive recommendations, watching your company’s activities, AI canhelp businesses predict a wide array of activities, With ArtificialIntelligence, you can do three main things for any business, You can optimizebusiness processes, You can minimize costs and you can maximize revenues.Deep learning & artificial intelligence in their many forms are seen bybusiness leaders as an essential tool, Your company should join leadingemerging technologies like Machine Learning, cloud computing & Big Data,Vendors have added AI capabilities to their offerings, such as Amazon, Appleand Google to IBM, Intel, and SalesForce, so, you’ll decide whether you areplanning to do this with hardware you own/buy, or cloud resources (or both).Artificial intelligence in businessArtificial intelligence is beginning to replace many of the workplace rolesthat men dominate, AI will optimize the flows in an E-Commerce warehouse, Moreadvanced AI will minimize the costs in energy consumption of a data center,and AI will maximize the revenue of an Online Retail Business.Businesses can use Artificial intelligence as a tool to improve customerservice and processes, not just to imitate humans, Businesses learn how toleverage AI to optimize their Business, maximize profitability and efficiency,Artificial intelligence is affecting many industries, AI can be used tostreamline their professional routines through practices like automated dataentry and reporting.AI can be used in collaboration solutions, security, services & networkinfrastructure, AI platform can be used to build conversational interfaces topower the next generation of chat and voice assistants, AI can be used in ITservices and security, as well as hyper-converged infrastructure to balancethe workloads of computing systems.AI can be used to assist with cybersecurity defense, The AI system constantlyanalyzes network packets and maps out what is normal traffic, It is aware ofover 102,000 patterns on the network, The AI wins over traditional firewallrules or AV data in that it works automatically without prior signatureknowledge to find anomalies.
Application of Artificial intelligence in business
There are many applications of AI in business management such as spam filters,smart email categorisation, voice to text features, smart personal assistants,such as Siri, Cortana & Google Now, automated responders and online customersupport, process automation, sales and business forecasting, securitysurveillance, smart devices that adjust according to behaviour, automatedinsights, especially for data-driven industries (eg financial services ore-commerce).There are many applications of artificial intelligence in the consumer &business spaces, from Apple’s Siri to Google’s DeepMind, Siri uses naturallanguage processing (NLP) to interpret voice commands and respond accordingly,Google’s DeepMind uses deep learning, It can make connections and reachmeanings without relying on predefined behavioral algorithms, instead learningfrom experience and using raw data as its inputs, by applying findings fromDeepMind, Google can improve the efficiency of its own power centers, reducingthe energy used for cooling by 40%.
Artificial Intelligence in Mobile Applications
What is the potential of such technology development, particularly in thefield of mobile applications? A close attention to the study of artificialintelligence is paid by the part of scientists from US universities. Forexample, in 2014 the project was launched, its name is AI100 – Century-oldstudy of artificial intelligence at Stanford University. The importance ofthis research was caused by the analysis of the impact of the development ofnew technologies on human life in terms of its safety, psychology, socialstructure and other spheres.Specialists in the field of development of new technologies suppose thatArtificial Intelligence, as a symbiosis of science and technology, will laterbecome an integral part of all branches of everyday life, for example, games,speech recognition, handwriting recognition and smart robots, where the lastones have special sensors that identify physical data.
Difference between AI and Machine Learning
These two terms are correlated to each other and use interchangeably. For thisreason, it creates lots of confusion in many of us brain.But, they are not the same term. Let’s understand with an example to clear ourwrong perception.If AI is – tree then ML is – one of the main Branch of treeAs we know, Artificial Intelligence is ‘Smart’ then who makes it smart? Offcourse the ‘Data’ and who feeds that data to AI? Yes, you are absolutely rightMachine Learning provide the data to AI.Machine Learning is a subset of Artificial Intelligence. We can say that thebackbone of AI is Machine Learning.Without Machine Learning machine can’t able to perform any task on its own.Therefore you have to get some knowledge of ML if you opt for ArtificialIntelligence as a career option.If you want to learn about Machine Learning and want to know various ML careerpaths check out this article; Machine Learning Career Path [Things You ShouldKnow]To become successful in the Artificial Intelligence career path you must havea clear understanding of how machine learns from scratch.Without ML AI is completely zero i.e. without ML there is a point of AI
Artificial Intelligence Questions: Introduction to AI
If your AI interview is for an internship, there’s a good chance that theinterviewer will try to break the ice and make you feel more comfortable byasking some “simple” general interest questions.These types of questions usually cover the basics, so even if they soundstraightforward, you have to make sure that you don’t get stumped (seeminglysimple questions require that your answer be delivered easily and flawlessly).However, it can quickly get more involved, so you have to be ready forwhatever they throw at you.Related: The Most Common Machine Learning Terms, Explained