Top 5 AI articles you missed last week

Hello there! So many Artificial Intelligence news out there lately, and so little time. No worries! We’ve picked up the most interesting bunch for you to skim through. So sit back and have a break. Here’re the 5 Must-Read Artificial Intelligence articles of the past week.

IBM turns to artificial intelligence to solve poverty, hunger, and illiteracy

Via Mashable

On Wednesday, the tech giant announced the launch of Science for Social Good, a new program that partners IBM researchers with postdoctoral academic fellows and nonprofits to take on societal issues through data. With the new initiative, IBM announced 12 projects planned for 2017. Each Science for Social Good project aligns with one or more of the 17 Sustainable Development Goals, the United Nations’ blueprint to address some of the globe’s biggest inequalities and threats by the year 2030.

Facebook Is enlisting human experts and AI to Fight terrorism

via MIT Technology Review

Following recent terror attacks, politicians criticized social networks for providing safe spaces for extremism. Now Facebook has announced that it’s developing AI and employing a team of 150 experts in order to become “a hostile place for terrorists.”Mark Zuckerberg has explained that, in his utopian vision of the future, many of the problems that his social network faces — among them violent content, child abuse, fake news, and extremism — will be eased by the development of artificial intelligence. Powerful algorithms, the theory goes, could sniff out offensive content and rogue users to shut the problems down.But to date his vision has yet to materialize.

6 Ways Artificial Intelligence and Chatbots Are Changing Education

via chatbotsmagazine

As the scope of chatbots becomes broader every day, there are new applications popping up constantly. Education has traditionally been known as a sector where innovation moves slowly. During the most recent years, there has been a large hype over innovative tools to enhance teaching and learning through educational technology. We’ve come across six applications of both chatbots and artificial intelligence within the educational area that could have an astounding impact on the whole industry.

Artificial intelligence can now predict suicide with remarkable accuracy

via qz

Walsh and his colleagues have created machine-learning algorithms that predict, with unnerving accuracy, the likelihood that a patient will attempt suicide. The prediction is based on data that’s widely available from all hospital admissions, including age, gender, zip codes, medications, and prior diagnoses. Walsh and his team gathered data on 5,167 patients from Vanderbilt University Medical Center that had been admitted with signs of self-harm or suicidal ideation.

Apple’s HomePod is not artificial intelligence — but it is a great speaker

Did you like these articles?Do not hesitate to share other interesting new in the comment sections! For more updates and free quotes for mobile application development, check our website!

Top 5 AI articles you missed last week

Hi there! There are so many Artificial Intelligence new out there, and so little time! We picked up the most interesting ones. So sit back and have a break. Here are the 5 Must-Read Artificial Intelligence articles of the past week.

5: MIT researchers developed tattoo inks that could act as health tracker

via Deezen

Researchers from MIT’s Media Lab have developed a tattoo ink that changes color according to varying glucose and pH levels inside the body. Hoping to turn the body into an “interactive display”, they developed a method for replacing tattoo inks with biosensors — liquids that change color in response to alterations in the

bloodstream.

 

“They believe in the future it could be used as a medical tool. For example, diabetic patients who do daily pin prick tests to check their blood sugar levels could do so with a biosensor tattoo, simply by monitoring the change in color.”

 

4: Microsoft is working to Make artificial Intelligence more human

via Futurism

Microsoft’s Project Mélange, housed in its India office, is using code-mixing (moving between multiple languages within a distinct conversation or even a single sentence) to teach AI how to have more human-like conversations. India is a perfect location for this work, because it’s a multi-lingual society in which many people are mixing languages regularly. Using big data analytics and machine learning in realtime, the company is enabling virtual assistants to understand various accents, contexts, languages, and nuances.

“This would definitely help to bridge the gap in the human-computer interaction. The fact that you can actually talk to a machine the way you would normally talk to your friend is something we still need to wrap our heads around.”

3: How Harley Davidson used predictive analytics to increases new yorks sales leads by 2930 %

via Harvard Business Review

It was winter in New York City and Asaf Jacobi’s Harley-Davidson dealership was selling one or two motorcycles a week. It wasn’t enough. Jacobi went for a long walk in Riverside Park and happened to bump into Or Shani, CEO of an AI firm, Adgorithms. After discussing Jacobi’s sales woes, Shani, suggested he try out Albert, Adgorit hm’s AI-driven marketing platform. Jacobi decided he’d give Albert a one-weekend audition. That weekend Jacobi sold 15 motorcycles. It was almost twice his all-time summer weekend sales record of eight. n the case of Harley-Davidson, the AI tool, Albert, drove in-store traffic by generating leads, defined as customers who express interest in speaking to a salesperson by filling out a form on the dealership’s website.

“For example, when it discovered that ads with the word “call” performed 447% better than ads containing the word “Buy,” Albert immediately changed “buy” to “call” in all ads across all relevant channels. The results spoke for themselves”

2: Experts predict when artificial intelligence will excel human performances

via MIT Technology Review

Rightly or wrongly, one industry after another is falling under the spell of AI, even though few have benefited significantly so far. That raises an interesting question: when will a machine do your job better than you?Today, we have an answer of sorts thanks to the work of Katja Grace at the Future of Humanity Institute at the University of Oxford and a few pals. To find out, these guys asked the experts. They surveyed the world’s leading researchers in artificial intelligence by asking them when they think intelligent machines will better humans in a wide range of tasks.

“The experts predict that AI will outperform humans in the next 10 years in tasks such as translating languages (by 2024), writing high school essays (by 2026), and driving trucks (by 2027).”

1: We Need to Talk About the Power of AI to Manipulate Humans

via Futurism

In a nutshell: our tendency to become emotionally attached to chatbots could be exploited by companies seeking a profit. If you can get a user to think, “I want pizza delivered,” rather than asking the AI to buy vegetables to cook a cheaper, healthier meal, you will win. If you can get users addicted to spending 30 hours a week with a “perfect” AI companion that doesn’t resist abuse, rather than a real, complicated human, you will win. I saw over and over that an agent programmed to be neutral or subservient would cause people to escalate their negative behavior, and become more likely to behave the same toward humans.

“We need to consciously build systems that work for the benefit of humans and society. They cannot have addiction, clicks, and consumption as their primary goal. AI is growing up, and will be shaping the nature of humanity. AI needs a mother »
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Top five AI articles you missed last week

There are so many Artificial Intelligence news out there — and so little time! We picked up the most interesting ones, so sit back, and take a break.
These were the 5 Must-Read Artificial Intelligence Articles of The Past Week.

Apple Just Acquired This Little-Known Artificial Intelligence Startup

 

Apple has acquired a data mining and machine learning company Lattice.io, according to multiple sources familiar with the matter.Apple confirmed the acquisition exclusively to Fortune via telephone on Saturday, and provided the following statement via email: “Apple buys smaller technology companies from time to time, and we generally do not discuss our purpose or plans.”

via Fortune

City of Las Vegas Uses Artificial Intelligence to Thwart Cyber Attacks

 

It has become rather apparent the global cyber security sector may need a major overhaul in the coming years. If it is up to the city of Las Vegas, that fight will be won by deploying an artificial intelligence solution. That is quite an interesting solution to tackle the problem, although it remains to be seen how things will play out over the coming years.

via Themerkle.com

HBO’s Silicon Valley addresses the dark underbelly of artificial intelligence

Silicon Valley is Mike Judge and Alec Berg’s biting comedy about the American tech industry, now in its fourth season. Every week, we’ll be taking one idea, scene, or joke and explain how it ties to the real Silicon Valley and speaks to an issue at the heart of the industry and its ever-lasting goal to change the world — and make boatloads of money in the process.

via Theverge.com

Google’s AI Invents Sounds Humans Have Never Heard Before

JESSE ENGEL IS playing an instrument that’s somewhere between a clavichord and a Hammond organ — 18th-century classical crossed with 20th-century rhythm and blues. Then he drags a marker across his laptop screen. Suddenly, the instrument is somewhere else between a clavichord and a Hammond. Before, it was, say, 15 percent clavichord. Now it’s closer to 75 percent. Then he drags the marker back and forth as quickly as he can, careening though all the sounds between these two very different instruments.

via Wired

Facebook Wants to Merge AI Systems for a Smarter Chatbot

 

Facebook has released a platform that could combine different advances in artificial intelligence and make machines a lot more articulate.The framework, called ParlAI, offers researchers a simpler way to build conversational AI systems, and to combine different approaches to machine dialogue. The framework should make it easier for developers to build chatbots that aren’t so easily stumped by an unexpected question. A common criticism of the chatbots released to date, including those available via Facebook, is that they are too narrowly focused and too easily confused.

via MIT Technology Review

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Machine Learning trends or the Next Generation of Mobile Apps

Tractica, a market intelligence firm that focuses on human interaction with technology, forecasts that annual worldwide artificial intelligence revenue will grow from $643.7 million in 2016 to $38.8 billion by 2025.

This extraordinary growth can be largely attributed to advances in machine learning, a type of artificial intelligence that automates analytical model building, allowing computers to adapt to new circumstances and to detect and extrapolate patterns, as explained by Peter Norvig and Stuart J. Russell in Artificial Intelligence: A Modern Approach.

Artificial Intelligence revenue will grow from $643.7 million in 2016 to $38.8 billion by 2025

Already, some of the world’s largest smartphone manufacturers, such as Huawei, are using advanced machine-learning algorithms to make their devices run faster and smoother. Bo Begole, VP and Global Head of Huawei Technologies’ Media Lab, thinks that “these and other as-yet-unpredicted applications of machine intelligence will change how to live and work.”

Machine learning fundamentally relies on a steady supply of vast quantities of data, and no other company has access to more data than Google. Unsurprisingly, Google is at the cutting-edge of machine learning. Last year, the company announced that Google Translate is switching to Google Neural Machine Translation (GNMT), which is a new translation system based on sophisticated machine learning algorithms that provide significant improvements in translation quality. Similar algorithms also improve the accuracy of Google’s turn-by-turn navigation, voice search, or image recognition.

Google Translate is switching to Google Neural Machine Translation (GNMT)

But it’s not just Google who uses machine learning to develop state-of-the-art solutions to a wide variety of problems. With machine learning, mobile app developers don’t need to spend long hours programming knowledge into logic frameworks. Instead, they can create machine learning systems capable of analyzing data for statistical correlations, patterns, probabilities, and other features. This means smarter apps for less money.

Machine learning will generate smarter apps for less money

As we move closer to the connected era powered by billions of IoT (Internet of Things) devices, it will be easier than ever to gather accurate data, which is the key to machine learning. According to CMO— a provider of marketing insights, expertise, and inspiration aimed at helping CMOs, senior marketers, and their teams — the number of Internet-connected things will reach 50 billion by 2020. Annual revenues for IoT vendors are expected to exceed $470 billion.

The number of Internet-connected things will reach 50 billion by 2020

In just a few years, machine learning will play just as important role when it comes to the success of mobile applications as user experience design and polish do today. It makes sense to hire a mobile app developer who is at the cutting edge of technological progress and understands how to use machine learning to develop mobile apps that are guaranteed to stand out and attract users. You guessed it right! Someone like bromin7.

Which Development Approach works best?

As the old idiom says, “there’s more than one way how to skin a cat,” and there’s more than one way how to develop a software project. A quick search reveals a long list of development methodologies, including Agile Software Development, Crystal Methods, Dynamic Systems Development Model (DSDM), Lean Development (LD), Rapid Application Development (RAD), Scrum, Spiral, and Waterfall, just to name a few.

Theoretically, all development approaches should have one common goal: to make the client successful and build a great product. But do they, really? Cutting-edge companies like Google “are too centered around short-term thinking for working on revolutionary engineering projects,” explains a former Google Engineering Director, and many other developers and contractors forget that overly comprehensive documentation increases their chance of failure.

We take a different approach to software development, one that combines the advantages of all existing development methodologies and aligns them with the needs of our customers. We do everything it takes to place our valued clients in the best possible position, increasing their productivity, profitability, and general satisfaction.

This is possible only through a continuous work with our customers, perfecting their business models and prioritizing the most central issues above everything else. The Pareto principle (also known as the 80/20 rule) is something that virtually all our clients intuitively understand, which is why they appreciate that we work on the biggest and most common problems first, resulting in the largest net impact and the largest return on investment.

We believe in documentation and a clear paper trail of requirements, needs, goals, and milestones. At the same time, we are well aware that one must be agile and quick to adapt in order to survive in the fast-paced business environment of today. That’s why we emphasize on-going cooperation, early feedback, and concise explanation of all critical decision at all phases of the project.

With us, you are getting more than a cookie-cutter approach to software development — you are getting a partner who is dedicated and pro-actively strives to provide you with the best solution possible. A partner who sees the value in any long-term cooperation and is at the very forefront of the latest software development methodologies.

Don’t settle for the average when you have much better options.

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How to Get Users to Test Your New App?

So, you’ve built a new app, showed it to a close group of your friends and coworkers, but are now stuck thinking how you can get more users to test the app and get unbiased feedback. In this article, we’ll show you two different but equally efficient ways how to receive valuable responses from real users.

Attracting Users Without Paying a Single Cent

 

If you are a single developer or a very small startup, chances are that you need to cling to every dollar, minimizing expenses whenever you can. In that case, your best strategy is to actively reach out to potential users through various social media networks and news sites.

The key is to focus on giving users something valuable — something they want. A site like Quora is a perfect example of a social platform through which you can get users for free. Simply look for relevant questions and problems that your new app answers, and don’t forget to mention that the app is still new and you appreciate any feedback you get.

Alternatively, you can market your app on Reddit or relevant sites and blogs, such as Hacker News. Again, don’t just go around pushing your app on random bystanders. Instead, focus on presenting how exactly they will benefit from it, and make sure to ask for feedback. You can often get more users to give you feedback if you present your app in its early stage. There’s just something alluring about the opportunity to try an alpha version of an app that could become the next big thing.

Paying Users to Test Your New App

The cost-saving method has a few disadvantages. First, there’s no guarantee that you get any feedback at all. Second, the feedback you get could be of very low quality. After all, there’s only so much you can ask people to do for you without providing adequate compensation for their time and effort.

A very good option is to use mTurk.com, a crowdsourcing Internet Marketplace owned by Amazon. It doesn’t matter how large or small your budget is, with mTurk, you are guaranteed to get results, as there are always people looking to earn a few cents by completing various odd jobs.

A step-up from mTurk is a site like Fiverr or UserTesting. There, you’ll encounter people who specialize in app testing, making it that much more likely that you’ll get the right kind of feedback. Of course, expect to pay more as well.

Be Ready for the Feedback

It may not seem that way, but getting users to test your new app is just the beginning. The next step is to process all the feedback you receive, preferably using a feedback workflow tool, such as Usabilla. The purpose of feedback tools is to extract valuable insight and eliminate the guesswork that’s typically associated with app or product testing.

Haven’t built your App yet? Well.. let’s talk about it!

How Much Does It Cost to Build a Mobile App?

If you own an established company or are just thinking about creating one from the ground up, chances are that the thought of building your own mobile app has crossed your mind. While web development has become a relatively common service that most business and startup owners are familiar with, the same cannot be said about app development. To help you navigate this critical market segment, we have taken it upon us to research how much it really costs to build a mobile app from scratch.

The Low-Cost Option

If you are a sole-proprietor on a tight budget, your first choice for mobile app development will likely be an independent freelancer. These days, it’s possible to find decent developers who will work for $50 per hour. And if you are willing to hire someone who is not based in the United States, that figure could be considerably lower.

Of course, any low-cost option isn’t without its downsides. For starters, the absence of a project manager means that coordinating efforts of multiple people (for example, your main developer and two designers) could turn out to be very time-consuming.

What’s more, freelancers will seldom help you nurture your vision and work together to create a cohesive app. You will have to know precisely what you want and be able to communicate your ideas to others.

But even with these downsides, hiring a freelancer could be the best course of action for small projects. You will be able to find plenty of talented developers on sites like upwork or toptal.

The High-Quality Option

There’s only so much that even the best freelancers can do. The development of larger applications necessitates a well-organized team of talented individuals, including a designer, account manager, and product manager, among many others.

Ken Yarmosh, the Founder & CEO of Savvy Apps, said back in 2010 that everybody who has more than $10,000 should consider working with a professional or agency. Things have changed since then, and modern apps are more complex than ever. Consequently, simplest apps start around $25,000 and more complex apps can push up over $1,000,000.

These numbers reflect how much enterprises are actually spending on app development. According to the Enterprise Mobility Exchange, 29.1 percent of respondents had a budget of $250,000–$500,000, followed by 25.3% who had over $1.5 million.

Software companies who work mostly with medium-sized clients say that their typical budgets are somewhere between $100,000 and $300,000. And applications with backend services can eat up as much as $500,000 in no time. What’s more, none of these numbers include a budget for Android, which is known for being much more expensive.

At bromin7, we see most of our startup projects fall somewhere between $70,000 and $250,000, depending on the complexity of the app. Medium-sized and Enterprise apps typically run at higher cost and fall under a web app category.

Cost Calculators

Probably the fastest way how you can get a somewhat accurate idea about the price of your app is to use mobile app cost calculators offered by several mobile app and platform companies.

A simple iOS app that lets users scan QR codes with a camera and share the results with friends on social media networks would cost almost $6,000, according to Otreva calculator. A more involved navigation for iOS and Android, with social login, navigation, GPS support, and dashboard would require more than $100,000, if we were to trust the estimation given by theimason calculator. The TCO Calculator by Kony provides us with our last example. The estimated price for an all-inclusive application for all major mobile platforms was well over $400,000.

Conclusion

It should go without saying that app development is not a one-time expense. Instead, it’s an ongoing process that will require future investments and maintenance. According to an AnyPresence survey nearly a third of enterprise mobile application development professionals update their applications once a month. for a medium-sized enterprise application project, such maintenance costs can reach as much as $11,000 per month.

Would like to get a quote? Hit us up here or via email info@bromin7.com.

7 Secrets to UI/UX Design When Building an App

With more than 2 million apps available in the Google Play Store and another 2 million in the Apple App Store, a good idea is no longer all it takes to win the attention of users and secure a place at the top of bestselling charts. Modern apps must be designed with the user in mind and optimized to create a seamless, enjoyable experience. In this article, you will learn 7 secrets to UI and UX design that you should always keep in the back of your mind when building an app.

Adaptive UI and UX

Even users who are not technically inclined have heard about responsive design. After all, the premise is simple enough: responsive design dynamically adapts to the size of the screen to provide end-users with great user experience no matter what device they run the app on.

But what if we could go a step beyond that? Try typing “gas station” in Google Search and notice that you get different results based on your location. In other words, the app dynamically changes the user interface and adjusts the user experience to give users better results, reduce the number of clicks it takes to do a certain action, or to expose relevant functionality when needed.

Push Notifications Matter

A recent study by Localytics Data Team revealed that push notifications boost app engagement by 88%. What’s more, they also convince 65% of users to return to the app within 30 days from enabling the notifications. The issue is that over 50% of users also find push notifications annoying, as discovered by another study from the same company.

The key is added value. Users don’t complain about push notifications in news applications because each notification provides them with valuable information. If you manage to do the same with your application, you are guaranteed to see an increase in engagement.

Search Is the King

Every time you deal with heaps of data or files, you need a convenient way how users can navigate through them and get what they want. Don’t underestimate your users and give them all the tools they might need, including search filters, the ability to sort the results by various criteria, and the option to limit the search to selected subcategories.

First Run Is the Most Important Run

According to a series of experiments by Princeton psychologists Janine Willis and Alexander Todorov, it takes humans just a tenth of a second to form an impression of a stranger from their face. Luckily for app developers, the average user is a bit more patient than that.

Still, the first impression your app makes is the most critical one. That’s why you must ensure that the first run goes without any hiccups. Use interactive guides to explain everything that might not be immediately clear and introduce new content on a step-by-step basis to avoid overwhelming the user.

Nobody Likes Crazy Touch Gestures

The average user uses 26 to 27 apps per month, according to a research on mobile behavior conducted by Nielsen. If each application used its own custom touch gestures, it would be nearly impossible to remember how to accomplish even the most basic tasks. The introduction of a new touch gesture is rarely the best way how to help users accomplish a certain task.

Support Is an Essential Part of the UX

Nothing is worse than if your app crashes, expect for one thing: when your app crashes in such a way that users feel like they have just encountered a glitch in the Matrix. Bugs are inevitable, so why not make them a part of the overall user experience? Explain users in a common language what went wrong and provide them with a link to your support page. Remember that “it takes 12 positive experiences to make up for one unresolved negative experience,” as stated by Ruby Newell-Legner.

Accessibility Comes First

So often is accessibility to people with disabilities just an afterthought in the development process. To make sure that your application is compliant with the Section 508 of the Rehabilitation Act of 1973, you need to design for it right from the start, rather than taking it into account only at later stages.

Conclusion

There’s no need to be scared of user experience and interface design. All it takes is a bit of common sense and adherence to the rules outlined above. Feel free to visit bromin7 here to learn how we can help you turn these best practices into an amazing application.

Top five AI articles you missed last week

There are so many Artificial Intelligence news out there — and so little time! We picked up the most interesting ones, so sit back, and take a break.
These were the 5 Must-Read Artificial Intelligence Articles of The Past Week:

The AI could decode what dolphins say

 

Dolphins are known to be highly intelligent creatures, and have even been found to construct ‘sentences’ from patterns of clicks and pulses to communicate with each other. And, using artificial intelligence, researchers are now hoping to figure out what they’re talking about.Researchers in Sweden are set to begin creating a dolphin-language dictionary using technology from language-analysis startup Gavagai AB — and, it could one day allow humans to communicate with the animals.

Source: dailymail

The Race to build and AI Chip just got real.

 

Google recently built its own AI chip, called the TPU, and this is widely deployed inside the massive data centers that underpin the company’s online empire. There, packed into machines by the thousands, the TPU helps with everything from identifying commands spoken into Android smartphones to choosing results on the Google search engine. But this is just the start of a much bigger wave. As CNBC revealed last week, several of the original engineers behind the Google TPU are now working to build similar chips at a stealth startup called Groq, and the big-name commercial chip makers, including Intel, IBM, and Qualcomm, are pushing in the same direction.

Source: Wired

AI willl cause people “more pain than happiness”

“Social conflicts in the next three decades will have an impact on all sorts of industries and walks of life,” said Ma, speaking at an entrepreneurship conference in China about the job disruptions that would be created by automation and the internet. A key social conflict will be the rise of artificial intelligence and longer life expectancy, which will lead to an aging workforce fighting for fewer jobs.Ma, who is usually more optimistic in his presentations, issued the warning to encourage businesses to adapt or face problems in the future. He said that 15 years ago he gave hundreds of speeches warning about the impact of e-commerce on traditional retailers and few people listened because he wasn’t as well-known as he is now.

Source: The Guardian

Reading an AI Car’s Mind: How NVIDIA’s Neural Net Makes Decisions

 

It’s just not practical to program a car to drive itself in every environment, given the nearly infinite range of possible variables involved. But, thanks to AI, we can show it how to drive. And, unlike your teenager, you can then see what it’s paying attention to. With NVIDIA PilotNet, we created a neural-network-based system that learns to steer a car by observing what people do. But we didn’t stop there. We developed a method for the network to tell us what it prioritized when making driving decisions.So while the technology lets us build systems that learn to do things we can’t manually program, we can still explain how the systems make decisions.

Source: Nvidia

As Robots Rise, How Artificial Intelligence Will Impact Jobs

In 2013, technologists Carl Benedikt Frey and Michael A. Osborne published a research that tried to predict the kinds of jobs technology is likely to replace in the next few decades. Middle-skilled workers, such as tax accountants, telemarketers and freight agents, were deemed most likely to be replaced by robots in the next few years, while skilled workers such as scientists, healthcare professionals, leaders, entrepreneurs, writers and artists were deemed the most secure. The explanation behind this inference was simple, humans are the most productive at professions that require them to regularly interact with other humans, while machines supersede them at such things as following patterns and executing routine work. The paper, however, didn’t take into assumption one key aspect.

source: Forbes

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