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Topics - Nadira Anjum

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AI is the hot trending topic this age and going to last much longer than we think, as it’s destined to be ‘THE FUTURE’. There are many interesting facts and studies about AI to discuss about. But do you know few of these facts?

1. AI robots are mostly female:
The artificially intelligent voices you hear on a regular basis, Are any of them men? Whether its Apple’s Siri, Microsoft’s Cortana, Amazon’s Alexa, or virtually any GPS system, chances are the computerized personalities in your life are women. Why is that, exactly? AI is the technology where the development of human and machine interaction is going at a higher level, where everyone wants a personalized human touch in everything from these robots. Basically we all know female voices sound much better than male voices. Secondly, female voices are less threatening more polite like everyone wants their personal secretary should be!

2. You can have a RELATIONSHIP with AI:
Scientists are developing new ‘mind reading’ artificial intelligence systems that can decode complex human thoughts just by measuring brain activity. AI is a technology which is made with the combination of machine learning, natural language processing and deep learning. All these terms gives us more understanding about humans and their behavior. Prediction is by 2050 marriages of human and AI will be legal. 

3. Using AI technology is next future of social media:
All the social media companies are in the competition of using AI to see and enhance customer experience. Facebook and Twitter are two companies essentially applying AI to match relevant content to the people. Leading this race is Google, coming across as one of the most preferred and reliable search engines. A third of the world’s population is using Social Media, and AI is playing a huge part in how businesses are communicating with potential prospects online.

4. AI Will Become Smarter Than Humans:
With AI having the ability to learn, computers are getting to be pretty smart. As of 2013, AI was about at the same intelligence level as a four-year-old and there have been lots of advances since then. For example, in 2014 a supercomputer cracked a complicated math problem called Erdos discrepancy problem, which was published in 1930. The amazing thing is that humans can’t even double check the solution because the equation is too long. The file is 13-gigabytes, and just for comparison, all of Wikipedia is about 10-gigbytes.
According to renowned futurist Ray Kurzweil, by 2029 AI will be at about the level of intelligent adult humans. Beyond that, anything is pretty much possible, especially if AI can get exponentially smarter. For example, Kurzweil believes it could lead to something called singularity, which is where humans and machines will meld into one entity.

5. AI will take over the human jobs soon:
At the rate at which Artificial Intelligence is being adopted in various areas of our lives, it is predicted that it will replace 16% of our jobs over the next decade. It is a fact that with increased intelligence and ability to perform tasks with accuracy, over the next few years it is predicted that close to three million workers will be reporting to or will be supervised by “Robot-bosses”. With Machine learning and language recognition, it is no surprise that 85% of telephonic customer service jobs will be performed by computers and will not need human interaction.

Globally organisations of all sizes and industries are pursuing AI-driven automation to help improve productivity and profitability. The question is: if AI develops to a point where machines will take over humans’ jobs, what will those jobs be? Here are five examples of what the future could look like.

# Receptionist:
The advancement of new technologies such as Amazon Alexa and Google Home could potentially see human receptionists replaced, with voice-activated response getting all the details necessary instead. Employers lose business opportunities when office receptionists are not available to respond to every customer, or take calls from potential customers. However, if ever there was a job that needs the human touch it is surely this one.
#Job interviewers:
Students are asked to set up a webcam on their computer or phone, instead of sitting in front of an interviewer. Questions appear on the screen, and interviewees are asked to make a video recording of their answers. Powerful algorithms scan the videos and pick up the words or phrases that the interviewees are using, and how confidently they answer. The AI interviews are used to help narrow down the thousands of applicants involved, until a shortlist is made and final in-person interviews take place.
#Law enforcement:
RoboCop may not yet be available, but China announced plans in November to build an unmanned police station powered by AI in Wuhan in Hubei province. Chinese financial paper Caijing Neican, reports that it will offer simulated driver examinations and provide registration services, thanks to state-of-the-art facial-recognition technology. It will be introduced to help users avoid sitting at stations for long periods of time, sign up for accounts, or download apps. The cutting-edge AI technology will access all the individuals’ information as soon as it sees the person’s face.
The future for telemarketers looks bleak. AI is already being used to find the best advertisement targets to make it easier for customers to learn about the most attractive products and services online. Direct customer advertisement would also not be needed in the long run, with direct phone sales falling in popularity as the age of digital advertisements goes from strength to strength.
One of the most obvious ways in which AI will make inroads is in accounting and bookkeeping, which can be easily automated. A range of accounting software facilitators already offer automated data entry, and other bookkeeping practices. The move is being promoted as essential as it will diminish mistakes introduced by human error, but most importantly of all, it will also be faster and work out at a lower cost.

12 Best Android Apps Not on Google Play Store of 2017:
1. XTunes
This app is for those who like to download music and audio on the go. Unlike other apps available on the Google Play Store, the user has the freedom to store the songs on their storage.
Most of the songs can be found on this app from old to the latest ones. Also, most of the songs that you will download from this app will have prefilled correct metadata like artist, album, year, track, cover photo in it. So, you will not have to worry about those and will be able to organize your music efficiently.
Almost all songs are available in high quality. We have found that all of the latest songs are available in 320kbps quality. If you are a music enthusiast, you will know when you see it. Also, you can search for an entire album and the songs from that album will be enlisted. You will also get an option to download the search song from the YouTube if it’s not available in app’s database. In fact, we consider it as the best Android app to download songs.
2. QuickLyric
As the name suggest, this app will show you the lyrics of the song which is playing or any song that you are going to search manually. You might also be wondering that what’s different between quicklyric and the other apps available on the Google Play Store like MusiXmatch etc.
The difference is that, here in quicklyric, you will be able to download lyrics offline for all the songs in a single click. As I recall, other apps don’t allow it for free. Also if you enable the option to refresh lyrics automatically, this app will search and download them whenever you add a new song to your device. You can also set it to show lyrics once the track changes. Seems awesome right!

3. Viper4Android
If you have a rooted Android device, probably you may have heard about this app. This is an equalizer app, but don’t even think that so what? This is not just a simple equalizer; it is the father of all equalizer. You can configure almost anything this app. However, this comes with a limitation. You will need a rooted Android device to run this app. If you don’t have a rooted device, then you can try Poweramp music player who will deliver the near same experience.
4. Popcorn Time
First of all, let us know what comes to your mind when you say this app’s name? As the name suggest relaxation and movie time, this app will allow you to download your favorite TV series as well as movies with a single click. Now, when you are bored, you will not have to open torrent site and Google and stumble across the web to download the movies and tv shows you want. This app is godsend :D.
Several other apps are available on the web like Showbox etc. But none of these apps we found as complete and as bug-free as Popcorn Time. You might already start liking the app, but we haven’t told you the best part about it yet. You will also be able to watch the trailer before downloading, excellent quality of the video, select subtitles. And then you will just have to click the magnet button. This will start the download in your torrent client.
5. Torrent Search
There are lots of torrent websites available on the internet. Let us give you a hint, if you start counting all of the torrent sites, you won’t be able to count! But some of the popular torrent sites have all the things that we need and are regularly updated.
But for searching in these torrent sites will require you first to open this sites one by one and search for the desired thing. What if you can reduce this work and just search all of these major torrent sites with a single click. Well, this app will be able to do that.
Just enter what you want to download and hit the search button. It will search all the major sites and will provide you the results with torrent size, the number of seeders and leechers and torrent age. Now click on the torrent that you want to download. Then the download will begin in your default torrent client. You can also search for the top torrents of the day, month, year and all time. If you don’t have a torrent client on your Android device, we would recommend using Flud, one of the best torrent downloaders for Android.
6. F-Droid
You might be aware of the open source. F-Droid consists of all of the apps that are available as open-source. Here you can download the apps that are not available on Google Play Store. You can find some of the apps listed in this article on F-Droid.
This app doesn’t consist any pirated or crack software. You might have heard about an app named “Black Market.” This app is nothing like that. This app is great for exploring the new open-source apps that you can’t find on Google Play Store.
7. Amazon UnderGround
You might be thinking that what the heck is Amazon Underground app. You might know that Amazon is one of the top apps in the shopping section on Play Store. But if you are using the official app, you are missing out on a lot of fun. Amazon Underground app can be downloaded from the official Amazon Website but isn’t available on Google Play.
8. MiXplorer
MiXplorer is a file manager which comprises of many useful features. The design is quite similar to the Solid Explorer. In fact, you can say that it combines both ES File Explorer and Solid Explorer. It offers tab support and dual pane support which make the working on different location simpler.
The features to connect cloud services like Google Drive, Mediafire, FTP, etc. makes it even handy to control remote storage right from the file manager. It has it’s archive manager, e-book reader, file encryption, media player and many more features that you can explore by yourself.
9. Tubemate
You might also have heard about this app somewhere or may have read about it. As the name suggest, it helps you to download the videos from YouTube. It can also download and extract MP3 from the videos
A while ago when downloading videos from YouTube was not against their terms and condition, there were several apps available on the Google Play Store to do that. But the new ToS doesn’t allow it. So you will have to rely on the apps that are not available in the Google Play Store, and luckily TubeMate is one of the best apps for downloading YouTube Videos.
10. Xposed Framework
Xposed Framework is an app that will let you customize your Android device, the way you want. It consists of sub-applications known as modules. These modules can be used for specific customizations. And there are a whole lot of modules available for Xposed which will make your android device awesome.
However, for Xposed to work, you will need a rooted Android device. Otherwise, you are out of luck. There is also an app known as Substratum (Available on Google Play Store) which is also perfect for customization. But it will also need a rooted device.

11. AdAway
Whenever you download apps for free from Google Play Store, they are likely to have advertisement popping all over it. It’s nothing to worry about, but when they are placed in such a way that every time you click it accidently, it becomes annoying.
This app will let you remove all the ads from every app on your Android device. Hence saving you some time and also in case some bandwidth. However, for this, you will need root access on your Android device. Also, there is a nice feature that you can check for the updates so that if a new ad network comes in you can block, so it won’t be able to display ads.
Also, note that if you disable advertisements some apps like XTunes will be stuck and it will not function properly as it used to be. However, this is not the case with most of the apps. Almost all apps we have tried so far worked fine.
12. Lucky Patcher
Lucky Patcher is a handy app when it comes to removing ads, patching, remove license verification, modifying APKs, backup/restore and much more. You will also need a rooted device for this app. This app just can’t be explained in ordinary words. You will just have to try this app out to test its features. Do let us know what you think about it.

The idea of a man-made being that eventually surpasses its creator was the subject of at least four movies last year — and comes up again in Morgan, a sci-fi thriller opening Friday.
What’s the deal on our fixation with robots?
And why are they so often the bad guys?
Perhaps stories about robots and Artificial Intelligence reflect our own ideas about consciousness or free will.
Or what it means to be human.
Maybe A.I. represents one way to see human-like beings behave in inhuman ways — a sort of 21st century puppet show. Then again, humans might well feel like God when they help create a new life form, especially a robotic life form that can represent a type of immortality.
And the ongoing problem is this: How do you make sure that machines smarter than people don’t figure out ways to seize power away from their creators?
In a 1942 story, Isaac Asimov spelled out the three laws of robotics:
- A robot may not injure a human being or, through inaction, allow a human being to come to harm.
- A robot must obey orders given it by human beings except where such orders would conflict with the First Law.
- A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.
Interesting — but Science Fiction is full of stories about robotic creations rebelling against those very laws, unwittingly or otherwise. And nobody loves a recalcitrant robot more than Hollywood.

Here are 10 best movies about AI.

ROBOCOP (1987)
An indestructible cyborg (Peter Weller) that’s part machine, part hero cop’s consciousness, appears to be the future of police work. It doesn’t quite work out that way. This action drama/social commentary is directed by Paul Verhoeven.

An ex-cop (Harrison Ford) working as a blade runner — an assassin of rogue androids — grapples with his feelings about the human-like replicants. Ridley Scott directs Sean Young, Rutger Hauer, M. Emmet Walsh, Daryl Hannah.

Evil A.I. Ultron (James Spader) dukes it out with Iron Man, Hulk, Captain America, Black Widow et al in this particular Marvel adventure.

Alicia Vikander is terrific as the A.I. who may or many not have her own ideas about becoming part of the human race. Sci-fi thriller also stars Domhnall Gleeson and Oscar Isaac.

Keanu Reeves, Laurence Fishburne and Carrie-Anne Moss star in this futuristic thriller (from the Wachowskis) as rebels who dare go up against the machines that have imprisoned human minds. Can they escape the artificial reality created to lull them into cooperating?

A robotic boy (Haley Joel Osment) wants his human mother to love him. Then her human son comes home. Steven Spielberg directs Frances O’Connor, Jude Law, William Hurt.

Arnold Schwarzenegger stars as a cyborg sent from the future to kill a woman (Linda Hamilton) in the present. The idea is to prevent the birth of the woman’s son — who will grow up to one day lead a rebellion against the machines. James Cameron directs.

MOON (2009)
Astronaut Sam Bell (Sam Rockwell) has a solo stint on the moon, where isolation is either causing him to go mad or keeping him from finding out the truth about his origins. Duncan Jones co-wrote and directs.

HER (2013)
Joaquin Phoenix stars as a writer who falls in love with the A.I. operating system that runs his life. Well — the machine does have a fabulous human voice (courtesy Scarlett Johansson). Spike Jonze directs; also with Amy Adams.

ROBOT & FRANK (2012)
Frank, an aging jewel thief (Frank Langella) is given a robot butler by his son (James Marsden) to help around the house. Frank retrains his robot to assist in heists. This is sci-fi for the non-sci-fi-fan; also with Susan Sarandon and Liv Tyler, and that’s Peter Sarsgaard as the voice of the robot.

Smartphone apps could eventually predict arguments among couples and help nip them in the bud before they blow up. For the first time outside the lab, artificial intelligence has helped researchers begin looking for patterns in couples’ language and physiological signs that could help predict conflicts in relationships.

Most of conflict-monitoring experiments with real-life couples have previously taken place in the controlled settings of psychology labs. Researchers with the Couple Mobile Sensing Project at the University of Southern California, in Los Angeles, took a different approach by studying couples in their normal living conditions using wearable devices and smartphones to collect data. Their early field trial with 34 couples has shown that the combination of wearable devices and artificial intelligence based on machine learning AI could lead to the future of smartphone apps acting as relationship counselors.

“In our current models, we can detect when conflict is occurring, but we haven't yet predicted conflict before it happens,” says Adela Timmons, a doctoral candidate in clinical and quantitative psychology at the University of Southern California (USC). “In our next steps, we hope to predict conflict episodes and to also send real-time prompts, for example prompting couples to take a break or do a meditation exercise, to see if we can prevent or deescalate conflict cycles in couples.”

Trying to predict something as complex as conflict among couples is no easy task in the real world. In that sense, machine learning algorithms that can automatically begin identifying patterns in data could help researchers sift through the language of couples and their different physiological indicators—such as heart rate or skin conductance response—to more accurately identify signs of brewing conflict. The USC team detailed its approach in IEEE Computer.

Before turning their off-the-shelf machine learning algorithm loose on the data, researchers had to identify which key features they should focus on during the experiment to get the best possible predictors of conflict. Past psychology studies have shown that conflict between couples is associated with physiological arousal signs such as raised heart rate and and skin conductance level. Arguing couples also tend to use certain wording such as more second-person pronouns (“you”), more negative emotion words, and more certainty words such as “always” or “never,” Timmons explains.

The 34 couples who participated in the day-long trial were given wearable devices such as a wristband sensor to measure  skin conductance, body temperature and physical activity. A separate sensor worn on the chest measured heart rate. Each romantic partner also received a smartphone to collect audio recordings of their conversations and to allow for GPS tracking. To verify that a conflict had taken place, the smartphone would prompt couples to report whenever they had in fact been arguing. (Of the 34 couples, 19 ended up reporting a conflict during the experiment.)

Early results with the small sample size were promising. The findings generally matched with what past psychological studies and theories had suggested about conflict in relationships. For example, negative emotion expressed in language was associated with conflict at an accuracy rate of 62.3 percent. When the machine learning algorithm analyzed all the data from many different indicators in addition to negative emotion, it accurately identified conflict 79.3 percent of the time.

“These models rely on machine learning,” Timmons says. “To be able to do classification experiments and say with reasonable accuracy whether conflict is occurring or not occurring really requires big data.”

That 79.3 percent accuracy is still below what might be expected in a future smartphone app providing active counseling or similar interventions for real couples. Incorrect identification of conflict could potentially cause unnecessary alarm, says Theodora Chaspari, a doctoral candidate in the Signal Analysis and Interpretation Laboratory (SAIL) at USC and coauthor on the study. But the higher accuracy from combining data from many different features seems to confirm the general approach of using many different measures to help infer the mental state of couples in conflict.

The researchers also face challenges in cleaning up the real-life data collected from the couples, which was much messier than the data that can be collected in the controlled confines of a lab. They sometimes encountered missing data segments, such as when some couples turned off their smartphone audio recordings at certain times for privacy. Still, Chaspari expects a larger dataset collected from additional couples to help the machine learning algorithm smooth out some of these wrinkles.

Eventually, the USC team hopes to use their system to collect enough data on individual couples to identify the personal quirks in their conflict patterns—something that could go a long way toward boosting the system’s accuracy in identifying conflicts for each couple. “We now have a generalized system that works, but the challenge is how to make the system specific for a couple or certain clusters of couples,” Chaspari says.

Accurate identification of conflicts could eventually enable the algorithm to predict conflicts before couples are even aware they have begun fighting. The USC team’s next steps will involve collecting additional data to boost the accuracy of their current algorithm. For example, wearable and smartphone technologies could help researchers collect data on a variety of other factors, such as phone usage, time on the internet, or how much light exposure couples receive during the course of their day—all theoretical but possible subtle predictors of conflict, for example given how light exposure can impact individual mood.

“Part of what helps these models work well and to have high classification accuracy is to have a lot of data and a lot of features,” Timmons says. “In our next steps we’re going to be including more predictors of conflict.”

Common Forum/Request/Suggestions / Future of Artificial Intelligence
« on: April 20, 2017, 05:45:02 PM »
The field of artificial intelligence may not be able to create a robotic vacuum cleaner that never knocks over a vase, at least not within a couple of years, but intelligent machines will increasingly replace knowledge workers in the near future, a group of AI experts predicted.

An AI machine that can learn the same way humans do, and has the equivalent processing power of a human brain, is still a few years off, the experts said. But AI programs that can reliably assist with medical diagnosis and offer sound investing advice are on the near horizon, said Andrew McAfee, co-founder of the Initiative on the Digital Economy at the Massachusetts Institute of Technology.

For decades, Luddites have mistakenly predicted that automation will create large unemployment problems, but those predictions may finally come true as AI matures in the next few years, McAfee said Monday during a discussion on the future of AI at the Council on Foreign Relations in Washington, D.C.

[ Further reading: Your new PC needs these 15 free, excellent programs ]
Innovative companies will increasingly combine human knowledge with AI knowledge to refine results, McAfee said. “What smart companies are doing is buttressing a few brains with a ton of processing power and data,” he said. “The economic consequences of that are going to be profound and are going to come sooner than a lot of us think.”

Rote work will be replaced by machines

Many knowledge workers today get paid to do things that computers will soon be able to do, McAfee predicted. “I don’t think a lot of employers are going to be willing to pay a lot of people for what they’re currently doing,” he said.

Software has already replaced human payroll processors, and AI will increasingly move up the skill ladder to replace U.S. middle-class workers, he said. He used the field of financial advising as an example.

It’s a “bad joke” that humans almost exclusively produce financial advice today, he said. “There’s no way a human can keep on top of all possible financial instruments, analyze their performance in any rigorous way, and assemble them in a portfolio that makes sense for where you are in your life.”

But AI still has many limitations, with AI scientists still not able to “solve the problem of common sense, of endowing a computer with the knowledge that every 5-year-old has,” said Paul Cohen, program manager in the Information Innovation Office at the U.S. Defense Advanced Research Projects Agency (DARPA) and founding director of the University of Arizona School of Information’s science, technology and arts program.

There is, however, a class of problems where AI will do “magnificent things,” by pulling information out of huge data sets to make increasingly specific distinctions, he added. IBM’s recent decision to focus its Watson AI computer on medical diagnostics is a potential “game changer,” he said.

Matching data to profiles

“Medical diagnosis is about making finer and finer distinctions,” he said. “Online marketing is about making finer and finer distinctions. If you think about it, much of the technology humans interact with is about putting you in a particular bucket.”

McAfee agreed with Cohen about the potential of AI for medical diagnosis. “I have a very good primary care physician, but there’s no possible way he can stay on top of all the relevant medical knowledge he would have to read,” he said. “Human computers are amazing, but they have lots of glitches. They have all kinds of flaws and biases.”

AI machines are still a ways off from equalling the processing power of the human brain, but that’s largely a problem with hardware resources, said Peter Bock, an emeritus professor of engineering at George Washington University. Scientists should be able to build an AI device that matches the processing power of a human brain within 12 years, he predicted.

That AI device would then take several years to learn the information it needs to function like a human brain, just as a child needs years to develop, he said.

One audience member asked the AI experts if the technology will ever replace computer programmers.

If scientists are eventually able to build an AI machine that has the processing power of a human brain, that machine “could become a programmer,” Bock said. “She might become an actress. Why not? They can be anything they want.”

DARPA now has a project that focuses on using software to assemble code, by pulling from code that someone has already written, Cohen said. Many programmers today focus more on assembling code from resources such as, instead of re-creating code that already exists, he said, and DARPA has automated that process.

Humans still have to tell the assembling program what they want the final code to do, he noted.

At some point, an AI program may be able to write code, but that’s still years off, McAfee said. In order to deny that could never happen, “you’d have to believe there’s something ineffable about the human brain, that there’s some kind of spark of a soul or something that could never be understood,” he said. “I don’t believe that.”

There are things humans can still do, however, that have “proved really, really resistant to understanding, let alone automation,” McAfee added. “I think of programming as long-form creative work. I’ve never seen a long-form creative output from a machine that is anything except a joke or mishmash.”

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