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Top 10 Advantages & Disadvantages of Artificial Intelligence?

#artificialintelligence

Artificial Intelligence (AI) does not belong to the future – it is happening now. With the global AI software market surging by 154 percent year-on-year, this industry is predicted to be valued at 22.6 billion US dollars by 2025. Invented by John McCarthy in 1950, Artificial Intelligence is the ability of machines or computer programs to learn, think, and reason, much like a human brain. An AI system is fed in data and instructions, based on which the system draws conclusions and performs functions. It keeps learning human reasoning and logic with time, getting efficient on-the-go.


A 20-Year Community Roadmap for Artificial Intelligence Research in the US

arXiv.org Artificial Intelligence

Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.


What is AI? Everything you need to know about Artificial Intelligence ZDNet

#artificialintelligence

This ebook, based on the latest ZDNet / TechRepublic special feature, advises CXOs on how to approach AI and ML initiatives, figure out where the data science team fits in, and what algorithms to buy versus build. It depends who you ask. Back in the 1950s, the fathers of the field Minsky and McCarthy, described artificial intelligence as any task performed by a program or a machine that, if a human carried out the same activity, we would say the human had to apply intelligence to accomplish the task. That obviously is a fairly broad definition, which is why you will sometimes see arguments over whether something is truly AI or not. AI systems will typically demonstrate at least some of the following behaviors associated with human intelligence: planning, learning, reasoning, problem solving, knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity. AI is ubiquitous today, used to recommend what you should buy next online, to understand what you say to virtual assistants such as Amazon's Alexa and Apple's Siri, to recognise who and what is in a photo, to spot spam, or detect credit card fraud. AI might be a hot topic but you'll still need to justify those projects.


What is AI? Everything you need to know about Artificial Intelligence ZDNet

#artificialintelligence

Video: Getting started with artificial intelligence and machine learning It depends who you ask. Back in the 1950s, the fathers of the field Minsky andMcCarthy, described artificial intelligence as any task performed by a program or a machine that, if a human carried out the same activity, we would say the human had to apply intelligence to accomplish the task. That obviously is a fairly broad definition, which is why you will sometimes see arguments over whether something is truly AI or not. AI systems will typically demonstrate at least some of the following behaviors associated with human intelligence: planning, learning, reasoning, problem solving, knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity. AI is ubiquitous today, used to recommend what you should buy next online, to recognise what you say to virtual assistants such as Amazon's Alexa and Apple's Siri, to recognise who and what is in a photo, to spot spam, or detect credit card fraud. At a very high level artificial intelligence can be split into two broad types: narrow AI and general AI. Narrow AI is what we see all around us in computers today: intelligent systems that have been taught or learned how to carry out specific tasks without being explicitly programmed how to do so.


The future of AI

#artificialintelligence

In the field of computer science and information technology, the term artificial intelligence (AI) refers to the ability to endow machines with an intelligence and problem-solving capability, an analytical reasoning independent of direct control from an external operator – similar to notions of intellect demonstrated by humans and other living beings. The dream of AI dates back many years – intelligent robots appear in the myths of many ancient civilisations, including Greek, Arabic, Egyptian and Chinese. Nowadays, the field of artificial intelligence is more vibrant than ever, and some believe we're on the threshold of discoveries that could change human society irreversibly – for better or for worse. Alexa, Siri and Cortana are obvious examples of the "march of AI" into our everyday lives, but AI is being added to technology all around us. It can be found in television, mobile phones, vacuum cleaners, navigation systems, GPS systems, lawnmowers, video games, chapati makers and cars, as well as services such as Netflix, Amazon, Pandora and Nest.


The biggest artificial intelligence developments of 2017

#artificialintelligence

I'm still driving my own car and visit a human doctor when I feel sick. I still haven't surrendered my job to a lifeless robot, and I don't think Alexa or Siri is my best friend. And no, we haven't manufactured our AI-powered robot overlords yet. Nonetheless, just like last year, this year saw some interesting developments in the field of artificial intelligence. As I watched the landscape, I can describe the developments as a shift from hype and craze to reality checks and more focus on the social and political repercussions of this fast moving domain.


What is AI? Everything you need to know about Artificial Intelligence ZDNet

@machinelearnbot

It depends who you ask. AI might be a hot topic but you'll still need to justify those projects. Back in the 1950s, the fathers of the field Minsky and McCarthy, described artificial intelligence as any task performed by a program or a machine that, if a human carried out the same activity, we would say the human had to apply intelligence to accomplish the task. That obviously is a fairly broad definition, which is why you will sometimes see arguments over whether something is truly AI or not. AI systems will typically demonstrate at least some of the following behaviors associated with human intelligence: planning, learning, reasoning, problem solving, knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity. AI is ubiquitous today, used to recommend what you should buy next online, to understand what you say to virtual assistants such as Amazon's Alexa and Apple's Siri, to recognise who and what is in a photo, to spot spam, or detect credit card fraud. At a very high level artificial intelligence can be split into two broad types: narrow AI and general AI.


What is AI? Everything you need to know about Artificial Intelligence ZDNet

#artificialintelligence

It depends who you ask. AI might be a hot topic but you'll still need to justify those projects. Back in the 1950s, the fathers of the field Minsky and McCarthy, described artificial intelligence as any task performed by a program or a machine that, if a human carried out the same activity, we would say the human had to apply intelligence to accomplish the task. That obviously is a fairly broad definition, which is why you will sometimes see arguments over whether something is truly AI or not. AI systems will typically demonstrate at least some of the following behaviors associated with human intelligence: planning, learning, reasoning, problem solving, knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity. AI is ubiquitous today, used to recommend what you should buy next online, to recognise what you say to virtual assistants such as Amazon's Alexa and Apple's Siri, to recognise who and what is in a photo, to spot spam, or detect credit card fraud. At a very high level artificial intelligence can be split into two broad types: narrow AI and general AI.


What is AI? Everything you need to know about Artificial Intelligence

ZDNet

It depends who you ask. AI might be a hot topic but you'll still need to justify those projects. Back in the 1950s, the fathers of the field Minsky and McCarthy, described artificial intelligence as any task performed by a program or a machine that, if a human carried out the same activity, we would say the human had to apply intelligence to accomplish the task. That obviously is a fairly broad definition, which is why you will sometimes see arguments over whether something is truly AI or not. AI systems will typically demonstrate at least some of the following behaviors associated with human intelligence: planning, learning, reasoning, problem solving, knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity. AI is ubiquitous today, used to recommend what you should buy next online, to recognise what you say to virtual assistants such as Amazon's Alexa and Apple's Siri, to recognise who and what is in a photo, to spot spam, or detect credit card fraud. At a very high level artificial intelligence can be split into two broad types: narrow AI and general AI.


Will AI kill us all after taking our jobs?

@machinelearnbot

Preface: Lately we hear too many news about Artificial Intelligence (AI). Google, IBM, Apple, Microsoft etc. years ago announced "mobile" support. Today, mobile is obvious, and to differentiate, they claim to use "AI". The word "AI" for most people can be only the sci-fi movies AI, since we get too many AI movies too: Her, Ex Machina, … and even "Alien: Covenant" is about a rogue AI, the aliens are secondary. Companies went mobile for real: their services run in cell phones. But, we don't see sci-fi "AI" in any service like Alexa, Cortana, Siri etc.