GENEVA: Scientists have developed a programme that uses artificial intelligence to decipher a website's data protection policies in the blink of an eye, and can help you protect your personal information. The programme developed by researchers, including those from Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland, can let people know which websites and apps collect and subsequently sell their personal data. People do not always take the time to read website terms and conditions before accepting them. Not only are they extremely lengthy, they are also convoluted and written in opaque legalese, researchers said. However, they can contain surprising clauses about a website's or app's right to use the data it collects, such as the user's IP address, age and online preferences.

According to the latest market research report "Artificial Intelligence Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), End-User Industry, and Geography - Global Forecast to 2025", published by MarketsandMarkets, the market is expected to grow from USD 21.46 billion in 2018 to USD 190.61 billion by 2025, at a CAGR of 36.62 percent between 2018 and 2025. Major drivers for the market are growing big data, the increasing adoption of cloud-based applications and services, and increasing demand for intelligent virtual assistants. The major restraint for the market is the limited number of AI technology experts. The market for services is expected to grow at the highest CAGR between 2018 and 2025. The adoption of AI is rapidly increasing in various applications.

TechWorld Summit: AI attracted many industry experts within the field of AI. The well-composed lineup consisted of speakers from a wide variety of industries across Sweden, whom all delivered great talks and shared a vast knowledge of the subject.

If you want to command a multiyear, seven-figure salary, you used to have only four career options: chief executive officer, banker, celebrity entertainer, or pro athlete. One reason: No one can quite agree on how many there are. Uber Technologies, and others dangle dazzling pay packages to lure top academics to work on teams developing facial recognition, digital assistants, and self-driving cars. Even newly minted Ph.D.s in machine learning and data science can make more than $300,000. Beyond the tech industry, among those betting on similar expertise tailored to their interests are banks, hedge funds, carmakers, and drug companies.

Fish farming is big business - the industry now produces about 100 million tonnes a year - and with salmon prices soaring, producers are turning to lasers, automation and artificial intelligence to boost production and cut costs. How do you know if farmed salmon have had enough to eat? Well, according to Lingalaks fish farms in Norway, which produce nearly three million salmon each year, the fish make less noise once the feeding frenzy is over. The firm knows this thanks to a new hydro-acoustic system it has installed at one of its farms. The system listens to the salmon sloshing loudly about as they feed in a cluster. When the fish have had enough, they swim off and the noise lessens.

Helsinki: Cyber security companies are turning to artificial intelligence and machine learning tools to ward off growing number of attacks on networks, Finland- based internet security firm F-Secure said. As the world is fast moving towards Internet of Things and connected devices, deployment of artificial intelligence (AI) has become inevitable for cyber security firms to analyse huge amount of data to save networks from infiltration attempts, F-Secure's Security Advisor Sean Sullivan said. Networks are persistently exposed to threats like malware, phishing, password breaches and denial of service attacks. On a daily basis, F-Secure Labs on an average receives sample data of 500,000 files from its customers that include 10,000 malware variants and 60,000 malicious URLs for analysis and protection, Sullivan said. For humans, it is a big task to go through such huge amount of data and machine learning tools and AI are lending a helping hand at this stage, he said.

Blockchain isn't the only new wave of technology that's transforming the world we live in: artificial intelligence (AI) is also taking charge as a revolutionary industry in a big, big way. A Research and Markets report called "Global Artificial Intelligence Market Size, Market Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts, 2017 to 2025" indicates the artificial intelligence sector was worth $1.36 billion just two years ago (2016), and is projected to grow at a compound annual growth rate (CAGR) of 52 percent between 2017 and 2025. According to the report, 2016 was a significant year for the industry as it marked the year AI officially became an evolving market. Fueling growth going forward, technologies like deep learning, intelligent robots, neuro-linguistic programming and querying method will be at the forefront of the AI sector. With the market poised for significant, transformative growth over the next several years, here the Investing News Network (INN) takes a look at six artificial intelligent-related stocks for investors to familiarize themselves with. All companies below have market caps of less than $500 million and are listed in alphabetical order.

Automatic language translation has come a long way, thanks to neural networks--computer algorithms that take inspiration from the human brain. But training such networks requires an enormous amount of data: millions of sentence-by-sentence translations to demonstrate how a human would do it. Now, two new papers show that neural networks can learn to translate with no parallel texts--a surprising advance that could make documents in many languages more accessible. "Imagine that you give one person lots of Chinese books and lots of Arabic books--none of them overlapping--and the person has to learn to translate Chinese to Arabic. That seems impossible, right?" says the first author of one study, Mikel Artetxe, a computer scientist at the University of the Basque Country (UPV) in San Sebastiàn, Spain.

Just like its founders Artificial Intelligence, Integral Records' spirit is defined by collaboration. Whether it's the early collaborations of Technicolour & Komatic (now Technimatic), the recent Philip fusion with Phil:osophy or the ongoing mystery moves of Dawn Wall and Mohican Sun, there's always been a strong collective energy to the label. Glenn Herweijer, one half of Artificial Intelligence, puts much of this spirit down to D.O.P.E, a Leeds-based night he was resident at with Marcus Intalex and Ant TC1. It's here where Glenn road-tested plenty of his production partner-to-be, Zula Warner's, early creations and initiated a trend of creativity from connection that seems key to understanding how both Artificial Intelligence and Integral have developed. With the label now celebrating its 10th anniversary, Glenn and Zula are hosting a massive event this Friday and releasing a 10 Years Of Integral album next month.

At Tyto.ai we are working on interesting problems which occasionally brings us into contact with VCs and other investors. Most of my machine learning background is in natural language processing (NLP). I love NLP, and I could talk all day about it, but sometimes it is difficult to explain how generalizable the techniques in modern NLP are to areas outside text. It's pretty easy to show how a deep learning model can tell the difference between a dog and a cat, and everyone understands how that is relevant to different image types. But techniques developed for NLP are perhaps even more powerful.