Artificial Intelligence Applications | Artificial Intelligence Examples In Real Life | Simplilearn

Artificial Intelligence is no more a buzz; it has become a reality. With companies using artificial intelligence to build intelligent machines, AI has become a revolution in the business sectors. In this video, you’ll learn about the Top Artificial Intelligence Applications. You will understand how AI is used in business areas such as healthcare, marketing, social media, robotics, etc.

How To Build A Neural Network (Building An Artificial Intelligence)

In the last video in this series, we discussed the biologically inspired structure of deep leaning neural networks and built up an abstracted model based on that. We then went through the basics of how this model is able to form representations from input data. The focus of this video then will continue right where the last one left off, as we delve deeper into the structure and mathematics of neural nets to see how they form their pattern recognition capabilities!

What Exactly Is Blockchain?

While bitcoin and blockchain are often part of the same discussion, the two technologies are not synonymous and blockchain actually has potential issues far beyond bitcoin and other cryptocurrencies. Blockchain, a recording software that makes it near impossible to change, hack, or cheat the system, can be a way to get multiple parties that might not trust each other to share and agree on data. It’s this peer-to-peer system that’s made blockchain appealing for financial applications like Bitcoin and other cryptocurrencies. But ironically, it is those same features that make it secure, that also make it impractical for many applications.

Scientists Hooked A Brain Up To This Artificial Intelligence And This Is What It Showed Us

Scientists hooked a brain up to this artificial intelligence and this is what it showed us. Today, we take a look at what happened when this scientists hooked up a brain to artificial intelligence. Technology is always improving. Scientists and researchers experimenting with technology more than ever. What this means is we are making various breakthroughs in different departments, and one of these is that of artificial intelligence. Artificial intelligence makes it possible for machines to learn from experience, this means that repetitive actions will be picked up quickly. This is why researchers have come forward and said that certain jobs will be lost to artificial intelligence, especially those that require repetitive movements.

How Internet of Things – IoT & Cyber Physical Systems Will Shape The 4th Industrial Revolution

IoT short for Internet of things & Cyber physical systems are going to shape the the future of technology and the 4th industrial revolution or industry 4.0

The quote from the “Economist” in 2017 “The world’s most valuable resource is no longer oil, but data” holds true today more than ever before.

Internet of Things is one of the pillars of the 4th industrial revolution. With the increase in adoption of different technologies such as Machine Learning, Augmented Reality, Cyber Physical Systems and IoT, the world of digital transformation is about to take another leap in the next few years.

The technological advancements around the world is directly proportional to the growth of global automation which is driven by the Internet of Things and Cyber physical systems.

These systems will provide the foundation of our critical infrastructure, form the basis of emerging and future smart services, and improve our quality of life in many areas.

While Internet of Things takes care of the connections between objects and machines to the internet, Cyber physical systems are machines in which a mechanism is controlled or monitored by computer-based algorithms.

Other phrases that you might hear when discussing Internet of Things and Cyber physical systems are Smart Anything: Manufacturing, agriculture, Cities, Buildings, Homes, pills etc.

Elon Musk’s Final Warning About AI: Should We Create a Digital Superintelligence?

Elon Musk has warned about the dangers of AI in many occasions.He is one among many public thinkers who have expressed concerned about the risks involved in artificial intelligence. Particularly, a digital Superintelligence as Elon calls it. While artificial intelligence systems continue to improve, they also raise a fundamental question about the survival of our species.

The dangers of AI can not be overstated. The AI alignment problem is probably the single most important task for humanity to get it right the first time, because we may not ever get a chance to try again. Elon Musk thinks we should proceed very very carefully if we collectively decide that building a digital Superintelligence is the right move.

Our failure to grasp and deal with the possible consequences that come along with the creation of a digital Superintelligence, may prove to be our downfall.

A Superintelligence would be capable of rapid learning and unlimited memory, making it a potentially superior being. It is difficult to study an AGI, but the possible results are worrying.

A Superintelligence might have a rapid growth period, taking over every computer system and reducing the human race to a small and inconsequential presence. Unfortunately, an AGI would be both very intelligent and resource limited, and so it would eventually consider its own survival optimal. This may lead to it threatening other intelligences that were once its allies, and it may even terminate them.

Assuming that a digital Superintelligence could be controlled, it would then be under human direction. What would it be used for?

AI, Advertising & The Identity Era: IBM’s Bachstein

You don’t need an algorithm to tell you the US west coast is ablaze this week – but the advertising business, too, is being set alight.

Opt-in privacy legislation, deprecation of third-party cookies and Apple ripping up the fabric of iOS ad tracking all pose a threat to the norms of digital ad targeting.

Sheri Bachstein thinks artificial intelligence can help.

In this video interview with Beet.TV, the Global Head of Watson Advertising and IBM’s The Weather Company, says the changes will improve the market.

Privacy-first

“Targeting is not going away, it’s just changing and it’s evolving,” Bachstein says. “And frankly, it’s becoming more privacy-first, which is a good thing for consumers.

The industry is abuzz, examining replacements for cookies and Apple’s IDFA. Meanwhile, IBM’s Watson, its machine learning system, has been launching advertising solutions including:

dynamic ad creative assembly
providing marketing insights using AI
a product to help brands find the right influencer
combining weather and Nielsen shopping data to predict trends for certain products
Influencer economy

In June, IBM and Influential, a social media marketing company, launched Social Targeting, a tool using natural language understanding and IBM’s cloud to analyze social media data, turning it into a run-down of appropriate influencer targets.

“Consumers are spending money based on what influencers are marketing, but it’s really hard to find that right influencer because you have to look through so much data,” Bachstein says.

“You have to look at the tone of the influencer, some of their messaging hours.

“AI can come through all of that data to find that right influencer for the brand so then they can mark it that way.

Find a relationship

Bachstein says, in the world after conventional ad targeting, it will be key for publishers to obtain a first-party, consented relationship with audience members.

“It really comes down to that trust with your user or your consumer,” she says. “Do you have a relationship with your user that they are willing to provide some value in exchange for the free services you’re offering?”

Bachstein says The Weather Company is attempting to do that by offering high-quality weather forecasting in exchange for consumers’ information, usable in advertising.

“We’re providing very valuable information to consumers and we underwrite that with advertising,” she says. “For a consumer to share that information so we can better target those advertisers is really important for us, to be able to continue to provide that service for free.

“I have 200 meteorologists that it takes to deliver that forecast. Building that value of exchange with your consumer is critically important in making sure that you’re providing that valuable content.”

This video is from a Beet.TV series title Advertising in a Time of Privacy-Centricity presented by AppsFlyer. For more videos from the series, please visit this page.