Top AI Things You’ve Probably Never Realized

AI is often touted as the technology that has the potential to change our lives. Thanks to its depiction in mainstream media, AI is also frowned upon by many as a technology that will take over the world. However, many are not aware of the extent to which AI is already being used in society and in everyday life. It is important to recognize that AI currently in use is mostly narrow. While superintelligent AI is still years away from fruition, there have been gradual changes in the field of Ai that could easily go unnoticed to people who do not actively seek out information about the AI field. To explore just how much AI affects our daily lives, we have listed down all the applications and platforms that use AI which could have gone under your radar. 

According to a survey conducted by HubSpot, 63% of people are not actually aware that they use AI technologies. AI’s purpose in the current technological framework is to enhance the human experience, and humans being unaware that they’re using AI beats the purpose of the technology to some extent. Here are the top AI things you’ve probably never realized – 

Amazon 

Amazon’s artificial intelligence has been around for a long time now. Primarily, Amazon’s AI has been used in its site predictions and suggestions which aided in its sales increase massively. Amazon is undoubtedly one of the largest E-commerce players in the world right now with its owner Jeff Bezos seldom playing catch and release with the world’s richest man position. Reportedly, a third of the company’s sales come from their AI recommendations to end customers. With gradual progress, Amazon’s AI has become accurate and useful. Amazon’s AI is capable of predicting users’ shopping behavior and preferences to accurate precision. There’s also Amazon Alexa that uses audio input from users to give almost-accurate results when it comes to playing music and controlling your smart home devices. 

Siri 

Apple’s very own voice assistant is one of the most popularly used AI around the world. It is perhaps also the best example of speech recognition software. The program is as close as humans can get right now to Iron Man’s JARVIS voice assistant. The program connects to all your information ranging from messages, calendars, music, contacts, notes, etc. to create a personalized experience for you and also become smarter in the process. Using all the information at its disposal, Siri can understand your commands and requests with much ease. All of us enjoy asking Siri to give us beatbox beats but the voice assistant used for your amusement is far smarter than you think it is. There might come a day in the future when Siri never says ‘I do not understand that as it will be programmed to understand everything you have to ask her. 

Netflix 

Netflix needs no introduction. Netflix has brought about a revolution in the entertainment industry changing the way people consume content. Earlier, traditional cable television and theatres were the only way people could consume entertainment. It won’t be an overstatement to say that Netflix revolutionalized and also personalized the entertainment industry. The entire catalog of films, series, documentaries, and reality TV is ranked and customized to a personal level per user using Machine Learning. Through the use of AI, Netflix studies viewer engagement to find similarities and differences in your viewing pattern. The AI also studies which genres of content you usually watch and recommends similar content. The end goal of this AI is to retain viewers for the maximum amount of time, so, the next time you cannot stop watching a series or binge-watch film after film on Netflix, an AI could be responsible for it! 

Gmail

Similar to Siri, Google’s email platform also uses machine learning to stop unwanted emails and spam mail from entering your inbox. This AI works by analyzing and learning patterns from previous emails in order to make the most accurate decisions it can. This AI is meant to protect users from malware and prevents users from being subjected to deceitful and harmful emails. Google has also recently announced the introduction of Smart Reply. This service replies to emails as users do. The things interesting around here as this feature analyzes all of a user’s previous conversations with attention to how they reply. The predictive algorithm then produces short replies for the emails, it is also capable of producing some complex replies. In the future, I am sure you won’t have to write replies to boring emails as an algorithm will take care of it. 

Tesla 

Tesla is currently one of the leaders when it comes to car manufacturers. The electric vehicle company, while manufacturing gorgeous-looking cars, has also worked on vehicles with predictive powers. One of the most renowned features of Tesla cars is self-driving hardware. With the help of these features, the car can drive itself while the driver can rest his hands away from the steering wheel. The car can detect when there is a pedestrian or an obstacle in front of it and come to a stop. One can expect this feature to only get smarter with the passing of time. However, when Tesla vehicles can operate the self-driving feature on Indian roads is when I’ll be completely impressed with it!

Artificial Intelligence is a Threat to Human Rights: UN

I have read this subject “Political Science & International Relations” that covers human rights issues. Now, there can be scholars who can have problems with the three generations and how they are a bit overlapping. But, everyone understands the importance of having human rights. Yet, AI was unable to understand the same is a bit strange, isn’t it? In a recent report by the United Nations, the observations came out that artificial intelligence is no less than a threat to human rights. Why did it feel that way? Let’s discuss this issue from this blog. 

Urgent action needed over artificial intelligence risks to human rights

United Nations Human Rights Commissioner Michelle Bachelet came with the statement, “The higher the risk for human rights, the stricter the legal requirements for the use of AI technology should be”. She further added that artificial intelligence has no doubt has taken the good causes to reach their best level. However, artificial intelligence also hovers around the dark cloud that brings catastrophe over human and human rights. Hence, till the time the world comes together and takes a consolidated action over the same, there is a need to rethink about the course of this domain. 

Why are such events coming to the Global scenario?

Is privacy important for you? I guess yes. Have you heard about the Pegasus cry in recent times? I guess the answer is the same again. And, is privacy a human right? Definitely. Okay, one last question. Have you seen this web series Family Man? Then, you must have seen how TASC used to assess any post present on social media and tried to assess whether it is a threat or not. Now, if someone is messing with your privacy, you must understand that you are vulnerable. 

How can Artificial Intelligence hamper privacy?

Okay, let’s take the form of TASC. Consider that these so-called intelligence agencies have got some sort of API from a social media platform using which they can fetch every post. Now, considering the craze, these people have millions of posts every day to evaluate which is beyond human evaluation. So, humans will rely on machines and algorithms. When reading the post, the NLP algorithms come into play and try to give the toxicity or negativity index to that post. These algorithms will also check whether such posts are creating instability in terms of law and order. And, accordingly they provide a report to the concerned departments and authorities to take action. 

Final Remarks

There is a need to have a concept like terracotta environmentalism. You and I cannot deny the fact that we can live without artificial intelligence. Hence, there is a need for ethical artificial intelligence. That’s it. With that, even we as individuals won’t face any threat to our human rights by AI technology. For more news on technology, click on this link.

Artificial Intelligence Tool LuminarAI Brings New Update

If you are a selfie geek, you will always like to have the finest smartphone in your pocket that has advanced filters and image editing options to make images glitter more. But, if you ask a professional photographer about these features present in your smartphone, they may call you naive. It’s because a professional photographer has software or application that is like Virat Kohli of image editing in front of your Naseer Jamshed (don’t even hear of it?) Now, please don’t approach a judicial authority as it has undermined your dignity and ego. But now, you must know that these photographers will feel more empowered as one of their favorite platforms, Skylum, is coming up with an update that has inducted an artificial intelligence tool. Through this Exhibit blog, you will get more details related to this news.

Skylum’s Artificial Intelligence Tool – LuminarAI 

Skylum has brought the fourth update in their product LuminuminarAIarAI that has a feature named Portrait BokehAI. This new feature will be the biggest attraction point for professional wedding photographers. It is because this feature tried to identify the position of an individual or an entire group. BokehAI can blur the background for the emulation of richness that can come out from the picture to give more focus to such positions. Portrait BokehAI will also help out a photographer like you to add intelligent mask creation to the subjects. Though the boken gets automatically generated or created, the photographer gets full control by editing these pictures using some sliders. Hence, you will have the finest and sophisticated virtual tools to create a masterpiece from the captured snapshots. 

How is artificial intelligence helping?

There’s a possibility that developers have added high-end image libraries separately to add these new functionalities to this application. Through these libraries, you can access all the essential values related to the image that you are editing. Now, when you obtain all these parameters, you have the sliders through which you can set a new value or range for the same parameters and attributes. Fetching these values and presenting them to you is possible because of the training of these tools over a dataset. Now the image that you have to edit is like the test data over which the tool performs as per the functionality.

How can you get this update?

Well, if you are already a LuminarAI user, you will get this as a free update. But a lot depends upon the operating system that is loaded in your PC. If it’s macOS, all you need is to launch the LuminarAI application and from the menu bar, select the LuminarAI option and then choose the Check for Updates. It is slightly different in the case for Windows as you can’t see the Check for Updates options from the LuminarAI. For Windows, you will get in the Help window.

Artificial Intelligence Model Will Predict Heatwave Risks

Ahh, AI, then it’s possible. The pace of advancement has rapidly increased after the advent of artificial intelligence. Many tech giants are working with different models to ensure that they bring betterment in that space or domain. Climate disaster has become a burning topic in recent times, considering the way firstly heat waves and then rampant rain came and hit the country. Due to this, there has been a huge loss measured in every front. Every year, you can hear the news that cyclones will hit a specific region or area due to the pressure generated in the Bay of Bengal and the Arabian sea. Though a model has been devised for predicting the cyclones, there’s nothing available for heatwave risks. Thankfully, there’s one now! Microsoft has come up with an artificial intelligence model that can do the same. Through this Exhibit blog, you will get finer information. 

Artificial Intelligence Model – Sunny Lives

It has been a long time since Little Master and cricket legend Sunil Gavaskar has written “Sunny Days.” But now there’s something new with this word Sunny. Microsoft collaborated with Sustainable Environment and Ecological Development Society (SEEDS) to develop a new AI model named Sunny Lives. This model will help to predict heatwave risks that may build in the future in India. It is precisely for urban heatwave zones. It was this model which has helped Indians to estimate the arrival of other natural disasters, including floods and cyclones. The team at Microsoft developed this under their flagship program – Artificial Intelligence for Humanitarian Action. 

Working Principle of Sunny Lives

This AI model is going to take the help of satellite images and thermal maps of a particular area. Apart from this, the model has accumulated a bulk dataset related to specific urban areas, especially the temperature data. Through this dataset and satellite imagery, the code in the model will work out to find the next estimated period when there will be a huge probability for heatwaves in that dwelling settlement. Accordingly, pre-emptive actions can be taken by the nodal authorities and other concerned organizations to reduce its impact.

Potential of this AI Model

As of now, the administration and weather monitoring agencies in India can use it as a pilot project for the urban areas. Later, one can expand it to the rural areas where climate change has posed severe threats. Crop failure has become a major problem these days. Due to this, there will arise issues related to food security. Food security is no less than a boon for many, considering the current population of this country. Hence, if there is a heatwave prediction, farmers can get assistance in growing drought-resistant crops and other essential measures to deter crop failure. Apart from this, a heat wave prediction can help the administration to work on a water conservation strategy. 

Final Word

Admit it or not, but this artificial intelligence model named Sunny Lives is like a blessing that has come to the rescue after seeing the current climate changes in the country. A lot depends on how responsible people will harness and tap it to the fullest to help society.

Self-Driving Cars Subscriptions Launched by Tesla

The year 2014. A gimmick started floating – Acche din aayenge. Now, many may start a discourse about the same where it is, or it has arrived. But when it comes to technology, this Hindi idiom always takes a new writeup due to the advancement humanity is making with each lap. With the UK becoming the first country in the world to give a green signal to self-driving cars, the race has begun. And, with the race to better technology, you cannot keep Elon Musk away. Tesla has declared a full self-driving subscription beta model. With this Exhibit blog, get more details on this subject.

Steering Not in My Hands

Gimmicks and charming words have always attracted people. Indian media floated one a few days back – “Not in my name.” With driverless cars taking the center stage, you will find something like “Steering not in my hands” for sure. With $199 (around 14.8k INR) in a month, Tesla has announced that people who are craving a driverless car can start toying around the streets. Those who bought a Tesla car between 2016 and 2019 have to go through a hardware installation and update to ensure that they can witness such an experience too. For FSD chips and enjoying its features, Tesla has said they will give free hardware upgrades for hardware 2.0 and 5.0. 

Future of Autonomous Vehicles

Suppose someone asks me what the future of autonomous vehicles is. In that case, I will say watch TheWire interview of Kerala’s Governor Arif Mohammad Khan, where he was asked about the future of Muslims. Now, please don’t tag me as a communitarian. Just use an analogy. What analogy? Well, the answer to the question is whatever is the future of AI, same as that for the future of autonomous vehicles/driverless cars. Yes, the way AI & mechatronics will take turns will determine how many driverless cars you will see on the road. The current advancement has already forecasted that there will be more than 55 million autonomous vehicles on the road by 2040. 

Working Principle of Self-Driving Cars

The essential part of autonomous vehicles or self-driving cars is Computer Vision. Yeah, these cars will detect signals and check the proximity of objects near them. As per the dataset, the steering of these cars will take turns and move accordingly. The dataset will help to generate an algorithm for moving ahead and taking turns. Hence, machine learning and artificial intelligence will get more importance.

Major Concerns for Self-Driving Cars

The two-word answer is low reliability. Yeah, we are bringing this technology solely because they can reduce road accidents as a convention ratified in the Brasilia Declaration. But, still relying on a machine is a major concern that is creating hiccups for sovereign states to take any decision on self-driving cars. 

How can Real-Time Artificial intelligence Speech Assistance in Call Centers enable effective communication?

Contact centers face a data management challenge as well as a massive human-facing challenge.

All of this makes it more difficult for contact centers and consideration centers to transform unstructured and organized information into significant bits of knowledge that help your organization better meet the needs and expectations of your clients. Artificial intelligence’s role in assisting customer care personnel is more vital than ever, with call levels at customer centers increasing.

But the question arises how can Real-Time Artificial intelligence Speech Assistance in Call Centers enable effective communication?

Let us understand it with a simple illustration

Take a look at how agents are now evaluated. In customer service and agent performance scoring, human observation is significantly weighted. Calls are only partially monitored and listened to, frequently by a small number of human agents with their own biases that may influence their judgments. Call analysis can be erroneous, and this can have a direct impact on agency scoring. Traditional call monitoring can’t pull data in real-time from many sources. Agents receive feedback and help only after the call, and there is no automation or assistance in place to direct customers to the appropriate agent. Customers may speak with a half-dozen agents before reaching the correct person, and it’s tough to have a seamless call with a positive outcome by that point.

 

The above problem is alleviated by Artificial Intelligence’s ability to perform basic functions (monitoring, analysis, and support) in real-time and on a large scale. Every phone call is taped and monitored. Speech patterns are used to determine the mood and response of both the consumer and the agent on each call. The result is recorded and compared to the agent’s actions throughout the call.

Much of this information can be sent to the customer support representative in real-time, allowing them to respond quickly and effectively. It also ensures that customers are quickly connected with the right agent. Customers are happier as a result because their issue is addressed more quickly. It makes customer service representatives happier because they are working on cases for other people. They will be happier in their job and continue to succeed if they succeed at a higher rate.

So Artificial Intelligence is helping a lot, not by replacing human agents, but by assisting, monitoring, and collecting important information from their calls, AI can have a significant impact. We’re still a long way from a machine that can duplicate the human touch on a phone call, notwithstanding how far Artificial Intelligence has progressed. We need our customer service representatives, but with the appropriate technology, we can help them perform a better job.

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Flemish Scrollers Tracks Parliamentarians’ Smartphones Usage

Frank Underwood always used to have files on politicians on his Mac. But what if he gets to know that someone is tracking him. Well, one cannot change the storyline of “House of Cards,” but the way artificial intelligence is expanding its horizon, politicians do need to be scared. An AI model has come to the floor that can assess how anyone (especially politicians) is using their smartphones in the middle of the sessions. If you think you want privacy in the public domain, think again. Because AI can bamboozle your privacy for sure. So, next time be aware and vigilant in the meetings like the one who presides and convenes them can provide remarks for the same. This Exhibit article will satisfy the geek in you and let you know what artificial intelligence tool Flemish Scrollers is all about.

Artificial Intelligence Tool Flemish Scrollers

Italy may have broken many Belgian hearts in the Euro 2020, but Belgians never stop producing something that can be worth it. Flemish Scrollers is an artificial intelligence tool developed by a Belgian Developer, Dries Depoorter. This technique checks how much time a politician gets distracted by their small but most usable gadget – smartphone. The language used to make this methodology is Python. The tool, when it came live, has started to attract many eyes. The news about the same came out through Twitter, where it showcased a video of one of their parliamentarians, Bart Somers, thought to use in the middle of the session.

How does this tool work?

A nerd Python developer might have understood how things are going on. But if you don’t even know the ‘P’ of Python, here’s a chance for you to have a nag for technology and understand in the most layman manner. Basically, Senaat (Belgian Parliament) goes live on YouTube. Now, the Flemish Scrollers (a Python application) has inducted a YouTube API code. Through this code it tries to assess the live video feeds through small buffers. During this, this tool tries to track face recognition and hand movements. After training the tool for a long time, this AI model has learned what is in the hands of legislators. The amount of time of the video feed in which the legislators’ hands on their smartphones gets collected. Once evaluated, it can provide the time in percentage about the person who was using their smartphone.

The potential of Flemish Scrollers

In a nutshell, Depoorter’s new artificial intelligence tool, Flemish Scrollers, can become the new norm of working culture soon in the future. Gone were the days when people came out on the roads to ask for rights, among which one was privacy. Little Tommy has to understand that privacy will not be in their hands if this AI tool can enhance its scalability. Many businesses can induct this tool in their ERP and CRM applications to track their workers’ performance. Even during the meetings, this tool will help you to know who is showing that top-notch awareness. Hence, it will be too early to predict what Flemish Scrollers can achieve.

Artificial Intelligence Model to Evaluate Universe’s Shape

How to kill Thanos? Time GPS. Who created Time GPS? Tony Stark, with the assistance of Jarvis. Who’s Jarvis? An AI system built by Mr Stark. Imagine what it takes to defeat super planetary devils. Well, AI has the potential to showcase what it can do for you and the entire humanity. Now, AI has just done some more wonders by scrounging the shape of the Universe through different algorithms, computational and astronomical rules. Well, if you are a space tech nerd, you know that it is not easy for artificial intelligence to knock on the doors of heaven and learn from Albert Einstein his Theory of Relativity. This article will help you know how artificial intelligence helped evaluate this Universe’s shape and what it means to us.

What’s the news about this artificial intelligence technique?

The National Astronomical Observatory of Japan devised an AI model through which they calculated and verified the shape of the Universe. This model helped to segregate the shape noise (the one that occurs due to gravitational lensing distortion) that their Subaru Telescope has collected in the past few years. In addition to this, Japanese astronomers took the help of the ATERUI II supercomputer to generate and create catalogs of more than 25000 galaxies. These catalogs were produced after studying the data obtained from the Subaru Telescope. In the end, to evaluate the perfect shape, the scientists and astronomers added the realist shape noise to the data sets. Then, the AI model was trained on the mock data to deliver the visual information related to the Universe’s shape.

Why is this breakthrough essential?

Tackling out the shape of the Universe is not a cup of coffee. You need to accumulate a bulk of data to ensure that you have an ample amount of observations regarding the planetary objects, galaxies, etc. Now, if you think that it’s easy, stop and assess it again. There’s nothing like ideal. Any event in the space may create noise. Due to unscrupulous signals that reach your end that can hamper all the observational facts and figures. Hence, you need to think about realistic options. And, lastly, you need to add all these data into a model. This model can analyze everything before coming out with concrete conclusions. These models should process fastly as the bulky data may give rise to latency. Therefore, you will like to have hi-speed supercomputers that have the capability to hold voluminous data.

Inference

The AI model created the visuals of the foreground of dark matter and other massive objects distributions. The observations clearly helped to understand the Universe’s shape complies with cosmological rules and conventions. Thank God! Einstein calculations have not kept the entire astronomical fraternity in the dark. But, with these details, there are several positives attached to it, one of which is to understand the evolution of the Universe through this. However, it is also important to understand whether the Big Bang or the death of a star to transform into a black hole created any sort of disturbance in shape. Hence, there is more to go even after understanding the shape of the Universe.

AI in the Fight Against COVID-19

2020 has been a disaster. The first quarter of the year is almost over and people have no other option but to sit inside their homes, while a China originated human-killing virus wipes a considerable amount of the world population. While ‘Thanos’ was an imaginary being in the Marvel Universe, his aim was no different. He wanted to relieve the world of half its population and restore balance. The COVID-19 is no different situation apart from the fact that killing innocent humans is not going to restore the balance on earth, not after it has been subjected to all the malicious atrocities that it has been subjected since the arrival of mankind.

The virus which is also known as coronavirus is said to be originated in the city of Wuhan, China and suspected to be contracted from animals to humans. As people kept mingling and travelling all over the world, the virus too was spread. The current situation is so bad that most advanced countries like the USA and healthcare dominant countries like Italy are on the verge of giving up. All the global leaders, dignitaries and citizens of most of the infected countries are just asking the same question. When will this end?

In the fight against coronavirus, artificial intelligence (AI) and Machine learning (ML) have all of a sudden great role to play. While doctors, physicians, pharma companies and scientists are directly engaged in this duel of humanity against the virus, AI and ML are now being used as human allies for the answer to we all looking to hear. 

How will AI and ML fight the disease?

For most of us, AI and ML are just boxed in computers. Apart from seeing AI and ML suggest products from our last google search, none of us has actually seen AI work in real-time. What most people would know AI as just a bunch of codes which work behind the scenes to make things easier in front of the screen. However, if you think so, you are wrong. You can not physically see AI and ML do its job, but AI and ML are contributing to this fight, a whole lot more than you can imagine. 

AI and ML can effectively track the disease spread and the trends which points out where the medical help is most needed and where the virus is most likely to spread. This helps medical professionals to quickly act and helps to curb the spread of the disease. AI or as we know artificial intelligence is beyond normal human learning and use its past learning patterns to quickly identify where the things could go wrong. Based on its learning and combining its previous knowledge with insights, it can predict where the disease could go next based on the population flow and density. 

Artificial Intelligence can also match the symptoms of COVID-19 and the required treatment or any other therapy that is required. AI is also streamlining the best treatments for the disease which we still await an effective vaccine. Not only this, but AI and ML are also being used to analyse millions of drugs, elements and formulas with high speed to develop a vaccine. AI might seem to be working at its full speed, but a vaccine is still a year or more away from being developed. 

Now coming to the other side, AI and ML must also contribute to risk management. AI is as good as 95% correct most of the times. With more and more learning, AI continuously improves and thus corrects itself. However, it is quite dicey at this point to depend on AI alone, especially when the data samples (available data on COVID-19) is very less. Will AI still be that effective when it comes to less available data and also predict the failures? This is still to be understood at large unless there is a huge amount of data available for artificial intelligence to learn from. 

For any organisation or company using AI and ML as a tool in the current crisis, it is clear that AI and ML are no more proprietary or experimental technology anymore. The current situation has help demonstrate AI and ML have far more usage and applications, especially when human knowledge and efforts seem to have seen a dead end.

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