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

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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



“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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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.

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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