Top Bananas | Tag Archives: artificial intelligence

Angry Birds Uses Artificial Intelligence

Posted on December 3, 2019 by admin Posted in Business, Programming Leave a comment

What it is: Rovio Entertainment, the makers of the popular Angry Birds game, uses artificial intelligence to track user data.

When you play a video game, you might think of artificial intelligence used to create better and smarter opponents to play against. Yet Rovio Entertainment is using artificial intelligence to track user’s activities on their video games.

By tracking which parts of a video game players find most compelling and which parts players dislike, Rovio Entertainment can use artificial intelligence to fine-tune their future releases. This is no different than what Amazon, Google, or Facebook does when they track your activity so they know how to serve up ads uniquely tailored to you, increasing the chance that you’ll actually click on an ad and buy something.

If you’re trying to come up with a video game (or any app for that matter), think of ways artificial intelligence can track user’s behavior so you can better create an app that provides the most value to your users.

The future is artificial intelligence in one form or another. Instead of blindly guessing, artificial intelligence allows companies to use hard data to optimize their apps. Today, it’s no longer enough to simply be a good programmer. You also need to understand how artificial intelligence can be used to improve your app’s efficiency whatever metric you want to measure.

If artificial intelligence can be respond to Internet browsing and now video games, it’s only a matter of time before artificial intelligence will continue helping shape the future. That’s not necessarily good or bad (think of then Russian meddling in the 2016 election), but once companies get a taste of mining data to make predictions, it will be impossible to get them to stop.

Tracking user behavior is the future whether it comes through tracking website visits, game playing, online shopping, or posting ideas for others to read. Everything you do can and will be analyzed for the future. So take time now to understand how this works so you’ll be able to master the benefits of artificial intelligence without becoming a victim of its consequences.

To learn more about how Rovio Entertainment used artificial intelligence to improve their video games, click here.

Artificial Intelligence Can Identify Fake Police Reports

Posted on October 29, 2018 by admin Posted in Software Leave a comment

What it is: An artificial intelligence program can detect fake police reports with 80% accuracy.

How do people learn? Through experience, which means exposure to massive amounts of similar data from the same type of source. For example, police learn to detect lying by constantly exposing themselves to criminals and learning common factors that exhibit lying and telling the truth. They’re not always right but a rookie cop will be far less knowledgable than a veteran simply because the veteran has more experience. The same holds true for artificial intelligent.

Artificial intelligence (AI) learns by examining massive amounts of data to look for commonalities. Police are now using an artificial intelligence program called VeriPol that uses automatic text analysis and machine learning to identify false statements. The AI program was developed by researchers from Cardiff University and the Charles III University of Madrid, and can detect false reports with 80% accuracy.

The AI tool is able looks for false statements, such as a focus on the items stolen (usually smartphones and other high-end items) rather than the incident itself; a lack of detail which suggests that the reporter is not truly using their memory; limited details of the attacker, a lack of witnesses, and a failure to contact law enforcement immediately after. The biggest problem with analyzing police reports is that the police don’t have the time or staff to analyze fake reports so an Ain program like VeriPol can quickly identify potentially fake reports to free up personnel.

VeriPol has analyzed reports around Spain and researchers hope to test the program in other parts of the world as well. Any repetitive type of information can be detected by a trained person or an AI program. VeriPol simply demonstrates that AI can be smarter than the common criminal.

To learn more about the AI program that can detect fake police reports, click here.

Understanding the Threat of Artificial Intelligence

Posted on April 18, 2018 by admin Posted in Programming Leave a comment

What it is: Elon Musk, CEO of Tesla and SpaceX, constantly warns people about the dangers of artificial intelligence.

Many people see artificial intelligence as nothing more than positive progress. That’s why you see so much research occurring in the self-driving car market but artificial intelligence has long been around in other forms as well. Every time you buy a product on Amazon, Amazon’s algorithms analyze your purchase and the purchases of people buying similar products. Then Amazon can offer you other products you might be interested in. This not only increases sales, but also makes Amazon’s algorithm smarter for the next user.

Banks and credit card companies have been using artificial intelligence for years to track down credit card fraud. Email accounts use spam filters to keep you from getting overwhelmed by junk email. Casinos use facial recognition algorithms to look for professional gambrels who aren’t allowed to gamble any more. Artificial intelligence has been infiltrating every aspect of our lives to the point where getting rid of it is not practical.

The huge problem with artificial intelligence is that when we allow programs to adapt and learn on their own, humans no longer fully understand how the program works any more. As artificial intelligence grows in sophistication, it’s likely to start controlling our lives in unintended ways, which likely won’t be for the betterment of the human race. Instead of deliberately attacking people like fictional artificial intelligence computers and robots might do, real artificial intelligence can simply allow humanity to wither away through sheer neglect. Either way means it’s bad result for people.

Think of the bias already inherent in police reporting. In poor neighborhoods, police report more crimes because they record those crimes. In rich neighborhoods, police are less likely to report crimes perpetrated by rich people. So the end result is that the data skewers towards more crime in poor areas and less crime in rich areas, which can convince a program to pour more resources into poor areas to combat crime through increasingly draconian measures.

Computers simply do what they’re programmed to do, but if they can start modifying their own behavior, nobody knows how they’ll behave any more. The more we give up control to artificial intelligence, the less control we’ll have over our own destiny. That doesn’t necessarily mean the extinction of the human race, but it does mean we’ll be dependent on something we no longer control or understand.

Artificial intelligence will only get better over time. Whether it can ever get smart enough to equal human intelligence is another question, but if it does, then it will likely surpass human intelligence as well. If that happens, what will people do with computers that are smarter than they are and that nobody knows how to control?

Questions like thees are the reason why Elon Musk is concerned about the future of artificial intelligence because without controls put in place ahead of time, or even thinking about safety, artificial intelligence will likely charge ahead without any safety measures put in place at all. Thinking safety last is a prescription for disaster.

To learn more about the dangers of artificial intelligence and why we should be more concerned than we are, read “Our Final Invention,” a book Elon Musk recommends everyone read. When you realize computer scientists are charging ahead building artificial intelligence without thinking about safety issues first, you realize that everyone’s safety will be in jeopardy in the long run.

<br />

China’s Amazing Facial Recognition Technology

Posted on April 13, 2018 by admin Posted in Hardware Leave a comment

What it is: China has the world’s most advanced facial recognition technology that recently caught a suspect in a crowded concert.

How do you catch a criminal in a country as crowded as China? The Chinese government’s answer is to use facial recognition technology, which is now considered the best in the world. Recently the Chinese facial recognition technology spotted a suspect in a crowded concert of 60,000 people. Police arrested the suspect, who’s surprised that the police could locate him within the crowded concert venue.

For fighting crime, facial recognition technology can be like having millions of witnesses constantly scanning for particular suspects. The big danger is what the government decides might be a crime. Free speech? Trying to expose corruption in the government? Struggling to bring about equality and fairness? Governments can decide what’s a crime and root out troublemakers anywhere they might go in public. That essentially turns China into a massive police state.

To catch criminals is fine. Now the only question is what will China consider to be “criminals”?

Imagine how any dictator could use facial recognition technology to maintain power by tracking down and eliminating political rivals. China is not using facial recognition just to find petty criminals. They’re planning to use it to keep the population in line. While China is much freer than in the past where people can live and say whatever they wish, they cannot protest against their own government without incurring the wrath of that government. As long as the Chinese government is benevolent, everyone will be happy, but what might happen if the Chinese government suddenly turns into a harsh dictatorship?

If China’s facial recognition technology can spot a suspect in a crowd of 60,000 people, it can easily spot anyone who dares show their face in public just once. Facial recognition technology can bee used for good, but like any tool, it can also be used for evil purposes. The future has nothing to do with technology. It has everything to do with human behavior and given the history of human behavior, expect facial recognition technology to make people more oppressed than ever before.

What Happened to Siri?

Posted on March 14, 2018 by admin Posted in Software, User Interface Leave a comment

What it is: Apple was the first to introduce a voice assistant named Siri, but lately, Siri seems to have fallen behind rivals like Alexa.

Siri introduced the world to the first voice assistant that could understand spoken language and respond intelligently to it. With such a huge lead, how did Amazon’s Alexa seem to catch up and surpass Siri? The answer seems to lie with Apple’s lack of focus on Siri’s direction.

Just being first is no guarantee of maintaining that lead if you don’t know where to go. Microsoft was actually first with a tablet and smart watch, yet today their tablet efforts simply revolve around cramming Windows into a tablet form and their Microsoft Band wearable computer is officially dead. So being first means nothing if you don’t know where to go from there.

That seems to be the case with Siri. Siri has focused on understanding more languages than rival voice assistants, but that’s about it’s only advantage. Siri seems less capable of understanding and responding to spoken commands. That means Siri’s reputation has gone from the first innovative leader to a has-been in just a few years.

What appeared to hurt Siri was the lack of direction and cooperation between Siri’s team and the rest of Apple. Siri’s team apparently didn’t even learn about HomePod until 2015, which is why Siri on HomePod feels like a bolted on, less capable product than Amazon’s Alexa. Siri’s team also seemed to lack a direction to pursue and instead fumbled their lead to Alexa. If you feel that Siri isn’t as capable as its rivals, you’re not alone.

Here’s the real question. What do most people want from a voice assistant? Most likely it’s to understand simple, yet sophisticated commands as if talking to a person such as asking about the weather or the latest news. Voice assistants must constantly adapt to user demands and that means getting more natural language understanding. After all, there’s noting more frustrating than asking Siri a a question only for Siri to respond with a canned reply that shows Siri doesn’t understand basic language.

There’s still hope for Siri to catch up to Alexa. If Alexa could catch up to Siri, Siri can catch up to Alexa. The problem is that Siri’s reputation is now stained. The surest way Siri can succeed now is if its rivals stumble dramatically. Failing that, the best way for Siri to succeed is through gradual improvement that brings Siri equal and eventually past its rivals. That’s a long way to go but Apple needs to dig themselves out of this hole they created for themselves by neglecting Siri’s development.

Siri is proof that Apple can’t always succeed at everything. Apple is getting so big that the company is starting to fracture from the lack of coherent leadership. Apple is so large that even someone like Steve Jobs would likely have trouble keeping everything focused at once.

To read about Siri’s troubles, click here.

Alexa’s Strange Laughing Fits

Posted on March 8, 2018 by admin Posted in Programming, User Interface Leave a comment

What it is: Amazon’s Alexa devices apparently randomly laugh without any audio trigger.

Owners of Amazon’s Alexa devices have reported that the device seems to laugh for no apparent reason. Amazon said the problem comes from Alexa mistaking outside sounds for the command, “Alexa, laugh.” To fix this problem, Amazon reprogrammed Alexa to laugh only when prompted by the command, “Alexa, can you laugh?” Then Alexa will respond, “Sure, I can laugh,” followed by the actual laughter itself.

Why this command to laugh even exists is the real question. Recognizing voice commands is fine, but recognizing a trivial command to laugh seems rather pointless. Are people really going to talk to Alexa and ask it to laugh? This might be amusing initially but chances are good it’s not a command most people will ever use again, if they even use it in the first place. Voice commands should be used to focus on common questions first and trivial tasks much later, if ever.

More importantly, Alexa needs to learn to recognize different languages to broaden its appeal to more people. What might be more useful for voice assistants is language training. Part of learning to speak another language is the fear of looking stupid when interacting with native speakers. With voice assistants, you could learn French, Spanish, Chinese, Russian, or any other language safely by practicing with a voice assistant until you get the pronunciation correct. Then the voice assistant could respond and you could gradually build up your confidence in a safe environment.

Right now, Alexa supports English and German. Yet many people in America speak Spanish, and people in other parts of the world don’t speak English or German, essentially blocking Alexa from those markets altogether. Voice assistants need to learn other languages and become better at responding to ordinary language. Voice assistants don’t need trivial responses to make it laugh.

Voice assistants are the future. At one time, voice recognition required that individuals train the computer to recognize their own voice by repeating several phrases. Nowadays, voice assistants can recognize anyone’s voice without any training whatsoever. The next step for voice recognition is to respond intelligently, and that means ignoring trivial responses like laughing when given a command to do so.

Amazon needs to focus on supporting more languages and making Alexa respond more realistically to all types of voice commands. The last thing Alexa needs is to respond to silly questions that aren’t useful one bit.