AubreyAdamsBlog
The Dartmouth Conference of 1956 is considered by many to the be the birth of artificial intelligence. AI researches went forward from there confident that machines that could think like humans were just around the corner. That was 60 years ago; and while artificial intelligence has come a long way since then, we’re still not seeing machines that can truly think like humans do. Today researchers are once again hopeful that true artificial intelligence (an oxymoron if ever there was one) is within reach. But are we any closer than researchers were in the 50s? Here’s a look at some of the recent accomplishments, and setbacks that AI researchers are experiencing.
AI have mastered certain tasks
Where we’re seeing the biggest advancements in AI is computers that can do one thing extremely well. In the near future, we could see some jobs completely disappear as they are outsourced to machines that can do those same jobs much more efficiently and safely. We could be facing a labor displacement of a magnitude that hasn’t been seen since the industrial revolution.
Teaching AI to learn
While AI can be programmed to do certain tasks very well, a major hang up that researchers face is that they can’t teach AI to learn to do other things. All “learning” requires some kind of input from researchers. But humans could be placed in a room by themselves and can learn all on their own. This is called predictive learning or unsupervised learning and it’s an important key to solving the riddle of true artificial intelligence. For now, the big hurdle standing in the way of truly intelligent machines is the ability to teach them common sense, something humans are simply born with.
Artificial Intelligence News brought to you by artificialbrilliance.com
Source: wsj.com/articles/whats-next-for-artificial-intelligence-1465827619
AI have mastered certain tasks
Where we’re seeing the biggest advancements in AI is computers that can do one thing extremely well. In the near future, we could see some jobs completely disappear as they are outsourced to machines that can do those same jobs much more efficiently and safely. We could be facing a labor displacement of a magnitude that hasn’t been seen since the industrial revolution.
Teaching AI to learn
While AI can be programmed to do certain tasks very well, a major hang up that researchers face is that they can’t teach AI to learn to do other things. All “learning” requires some kind of input from researchers. But humans could be placed in a room by themselves and can learn all on their own. This is called predictive learning or unsupervised learning and it’s an important key to solving the riddle of true artificial intelligence. For now, the big hurdle standing in the way of truly intelligent machines is the ability to teach them common sense, something humans are simply born with.
Artificial Intelligence News brought to you by artificialbrilliance.com
Source: wsj.com/articles/whats-next-for-artificial-intelligence-1465827619
After receiving widespread criticism for their Teen Talk Barbie that lamented, “Math class is tough,” Mattel is stepping up their game by releasing Hello Barbie, full name Barbara Millicent Roberts, the first Barbie with artificial intelligence. Their goal is to create a toy that seems more lifelike because of its ability to carry on a conversation with kids. Whereas Teen Talk Barbie, and other previous talking Barbies, simply selected a phrase at random from a small database of possible phrases, Hello Barbie knows 8,000 lines of dialogue. Even more impressive, she selects certain phrases based on what kids are saying to her or asking her.
How it works
The secret is in Barbie’s belt buckle which actually doubles as a button that can activate speech recognition software. When a child holds down the belt buckle button and speaks to Barbie, the doll records the audio and transmits it to a ToyTalk server (ToyTalk is a third party service not owned by Mattel that manages the databases of phrases for various toys). The ToyTalk server runs something called a decision engine to select an appropriate response to what the child said. Oren Jacob, the CEO of ToyTalk describes ToyTalk’s decision engine as a kind of map with forks in the road. It uses natural language processing to analyze what the child is saying or asking and arrives at an optimal response which is transmitted back to the Barbie Doll. This entire process takes only seconds.
It keeps getting better
One of the best things about Hello Barbie is that it has the ability to keep on improving when it comes to speech recognition and response selection. Because Hello Barbie’s 8,000 lines of dialogue are stored on ToyTalk’s servers and not on a chip within the doll itself, a team of ToyTalk employees have access to that database of dialogue and can continually improve it. As more children talk to Hello Barbie, ToyTalk can study patterns, tweak their decision engine to be more accurate, and add or remove lines of dialogue as needed.
Because the audio recordings are stored on ToyTalk servers, the child’s parents can go online and listen to or delete audio recordings. They also have the option to share recordings of their child interacting with Barbie.
According to Mattel, Hello Barbie will hit the shelves in November just in time for the holidays.
Artificial Intelligence News brought to you by artificialbrilliance.com
Source: popsci.com/hello-barbie-learns-to-chat-using-artificial-intelligence
How it works
The secret is in Barbie’s belt buckle which actually doubles as a button that can activate speech recognition software. When a child holds down the belt buckle button and speaks to Barbie, the doll records the audio and transmits it to a ToyTalk server (ToyTalk is a third party service not owned by Mattel that manages the databases of phrases for various toys). The ToyTalk server runs something called a decision engine to select an appropriate response to what the child said. Oren Jacob, the CEO of ToyTalk describes ToyTalk’s decision engine as a kind of map with forks in the road. It uses natural language processing to analyze what the child is saying or asking and arrives at an optimal response which is transmitted back to the Barbie Doll. This entire process takes only seconds.
It keeps getting better
One of the best things about Hello Barbie is that it has the ability to keep on improving when it comes to speech recognition and response selection. Because Hello Barbie’s 8,000 lines of dialogue are stored on ToyTalk’s servers and not on a chip within the doll itself, a team of ToyTalk employees have access to that database of dialogue and can continually improve it. As more children talk to Hello Barbie, ToyTalk can study patterns, tweak their decision engine to be more accurate, and add or remove lines of dialogue as needed.
Because the audio recordings are stored on ToyTalk servers, the child’s parents can go online and listen to or delete audio recordings. They also have the option to share recordings of their child interacting with Barbie.
According to Mattel, Hello Barbie will hit the shelves in November just in time for the holidays.
Artificial Intelligence News brought to you by artificialbrilliance.com
Source: popsci.com/hello-barbie-learns-to-chat-using-artificial-intelligence
You may have heard some talk about chatbots lately. But what are they? The word “chatbot” sounds fun and casual, but chatbots are actually very sophisticated software that have some very serious implications in the world of business. Think of chatbots as digital assistants not so different from iPhone’s Siri or Microsoft’s Cortana. A chatbot eliminates the need for many mobile apps because the chatbot can perform the same function as those apps. Want to know the forecast for tomorrow? You don’t have to open the weather app, just ask a chatbot. Is your flight still on time? Ask a chatbot. When will your package be delivered? Ask a—well, you get the picture.
Chatbots aren’t new, but they’re getting more advanced
Chatbots have been around for a while but now that the technology is advancing so quickly, technology firms are getting excited about their capabilities. For instance, the next generation of chatbots canstore, synthesize, and recall important information. They can make purchases for you using any stored credit cards in your device. They can sync your calendar with weather information to warn you when foul weather may be threatening your weekend plans.
Chatbots and deep learning
Chatbots rely on something called deep learning which is a type of machine learning in which a neural network recognizes human speech, data, and patterns and can transmit that data into its neural network. As a result, the AI becomes more and more accurate at performing tasks and answering questions the more it’s used by humans.
Businesses are hoping to integrate chatbots to revolutionize the way customers and businesses interact. Chatbots can free up a lot of personnel to focus on other things because they can handle customer questions. Imagine a machine that could access company wikis to find the information that customers are looking for and then relay that information to the customers.
Artificial Intelligence News brought to you by artificialbrilliance.com
Source: forbes.com/sites/danielnewman/2016/06/28/how-chatbots-and-deep-learning-will-change-the-future-of-organizations/#5e2548406563
Chatbots aren’t new, but they’re getting more advanced
Chatbots have been around for a while but now that the technology is advancing so quickly, technology firms are getting excited about their capabilities. For instance, the next generation of chatbots canstore, synthesize, and recall important information. They can make purchases for you using any stored credit cards in your device. They can sync your calendar with weather information to warn you when foul weather may be threatening your weekend plans.
Chatbots and deep learning
Chatbots rely on something called deep learning which is a type of machine learning in which a neural network recognizes human speech, data, and patterns and can transmit that data into its neural network. As a result, the AI becomes more and more accurate at performing tasks and answering questions the more it’s used by humans.
Businesses are hoping to integrate chatbots to revolutionize the way customers and businesses interact. Chatbots can free up a lot of personnel to focus on other things because they can handle customer questions. Imagine a machine that could access company wikis to find the information that customers are looking for and then relay that information to the customers.
Artificial Intelligence News brought to you by artificialbrilliance.com
Source: forbes.com/sites/danielnewman/2016/06/28/how-chatbots-and-deep-learning-will-change-the-future-of-organizations/#5e2548406563
How AI will change cybersecurity forever
- By Aubrey Adams
- •
- 04 Oct, 2016
Over the years, society has become more dependent on digital technologies. Today, nearly every person, business, and government agency uses the internet to transmit and store data. As a result of that dependence, there is no shortage of hackers who try to access that data. We see this at every level. Celebrities have had their phones hacked and their personal photographs stolen and dispersed online. Sensitive customer data has been stolen from companies like Yahoo, Target, and—most famously—Ashley Madison. Not even the government is immune. In fact, the question of cyber-security as it relates to the protection of classified government data was raised in the most recent presidential debate.
As big a problem as cybercrime is, it’s pretty much remained unchanged for many years. Just as there are only so many ways for an intruder to break into a home, there are only so many ways for hackers to break through a firewall to access computer data. The problem with existing cybersecurity methods is that they’re largely reactive—they can’t do much until there’s a breach, then they can identify it and protect against a breach in that same area in the future. But thanks to machine learning, a branch of artificial intelligence, cybersecurity in the future will be able to crunch vast amounts of data constantly to see how hackers are trying to gain access and defend against it in real time. In short, cybersecurity is about to get a whole lot better thanks to artificial intelligence.
Artificial Intelligence News brought to you by artificialbrilliance.com
Source: fortune.com/2016/09/27/machine-learning-cyber-attacks-structure/
As big a problem as cybercrime is, it’s pretty much remained unchanged for many years. Just as there are only so many ways for an intruder to break into a home, there are only so many ways for hackers to break through a firewall to access computer data. The problem with existing cybersecurity methods is that they’re largely reactive—they can’t do much until there’s a breach, then they can identify it and protect against a breach in that same area in the future. But thanks to machine learning, a branch of artificial intelligence, cybersecurity in the future will be able to crunch vast amounts of data constantly to see how hackers are trying to gain access and defend against it in real time. In short, cybersecurity is about to get a whole lot better thanks to artificial intelligence.
Artificial Intelligence News brought to you by artificialbrilliance.com
Source: fortune.com/2016/09/27/machine-learning-cyber-attacks-structure/