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.