The release continues, "PhishAlarm Analyzer scans reported emails and examines them based on the attributes of the email and linguistic characteristics of the text. The emails are then prioritized, and an HTML threat report on the suspicious email is delivered to the security and incident response teams. The research report saves time for the incident response team by performing much of the research in advance so that they respond more quickly to the reported threats. By using various email threat feeds coupled with machine learning, PhishAlarm Analyzer constantly improves as it learns new patterns of email threats. PhishAlarm Analyzer is built to scan emails quickly and prioritize the threat, including identifying zero-hour phishing attacks in real time. By quickly detecting and ranking the most dangerous threats, PhishAlarm Analyzer allows incident response teams to remediate quickly and efficiently."

Earlier today, Daniel An and Pat Meenan from Google shared the results of a recent research project focused on uncovering what influences the bounce and conversion rates for e-commerce sites. Using a machine learning model developed in collaboration with SOASTA, Daniel and Pat identified that the speed and performance of a website can significantly influence the bounce rate of an e-commerce site. To put it simply: the slower and the more complex the page, the higher the bounce rate and the lower the conversion rate. This is consistent with several research studies and shows the promise that AMP adoption in e-commerce sites holds for doing business on the mobile web. To read more about Daniel and Pat's research check out their article on Think with Google.

We first ran into the predictive marketing startup Datatrics from the Netherlands at the PAPI's Connect event in Valencia earlier this year, where they competed in the first ever AI Startup Battle. The Dutch startup offers marketing teams an easy and actionable way to leverage Machine Learning with its innovative data management platform, which we believe sets a great example for other startups in showing how BigML can add to their competitive edge and supercharge their growth. So we interviewed Bas Nieland, CEO and co-founder of Datatrics to find out more. Can you tell us what was the motivation behind starting Datatrics? Bas Nieland: Nowadays digital marketers are awashed with data due to the fragmentation of consumer attention on many more channels.

The traditional definition of artificial intelligence is the ability of machines to execute tasks and solve problems in ways normally attributed to humans. Some tasks that we consider simple--recognizing an object in a photo, driving a car--are incredibly complex for AI. Machines can surpass us when it comes to things like playing chess, but those machines are limited by the manual nature of their programming; a 30 gadget can beat us at a board game, but it can't do--or learn to do--anything else. This is where machine learning comes in. Show millions of cat photos to a machine, and it will hone its algorithms to improve at recognizing pictures of cats.

Automation is the past, current and next big thing. For a long time, getting robots and software to work for us has been the Holy Grail of business. In theory it makes everything cheaper, more reliable, more powerful and it frees humans up to work on creative projects. Ever since the first industrial revolution, capitalists have looked for ways to extract human labour from the means of production and replace it with smart systems. This, of course, was initially driven by greed.

Google tapped into the superior intelligence of its DeepMind neural network to find ways to vastly reduce the energy it uses in its data centers, which make up 40% of the worldwide Internet. "This will also help other companies who run on Google's cloud to improve their own energy efficiency," Google said in a blog about the achievement. "While Google is only one of many data center operators in the world, many are not powered by renewable energy as we are." Google has set a goal to eventually power its data centers using 100% renewable energy. Today, the company claims, renewable energy is used for 35% of its power needs.

For more than a decade, technology investors and entrepreneurs obsessed over social media and mobile apps that helped people do things like find new friends, fetch a ride home or crowdsource a review of a product or a movie. Now Silicon Valley has found its next shiny new thing. And it does not have a "Like" button. The new era centers on artificial intelligence and robots, a transformation that many believe will have a payoff on the scale of the personal computing industry or the commercial Internet, two previous generations that spread computing globally. Computers have begun to speak, listen and see, as well as sprout legs, wings and wheels to move unfettered in the world.

Google has created artificial intelligence that's able to save the amount of electricity it uses to power its data centres. Using machine learning developed by the firm's AI research company, DeepMind, it was possible to reduce the energy used for cooling the centres by a staggering 40 per cent. By applying machine learning to its own centres, which power Google Search, Gmail, YouTube and all of Google's services, it was able to improve their efficiency. The algorithms and methods used could also be transferred to air conditioning systems in large manufacturing plants or, on an even larger scale, to reduce wastage in the energy grid. "What we've been trying to do is build a better predictive model that essentially uses less energy to power the cooling system by more accurately predicting when the incoming compute load is likely to land," Mustafa Suleyman, the co-founder of DeepMind told WIRED.

The government will introduce new rules on running Japanese language schools to eliminate poorly managed ones and keep the educational quality at an adequate level, sources said Wednesday. The Justice Ministry will revise the relevant ordinance soon, more clearly stating disqualifying conditions and making its screening more stringent, the sources said. There were 549 approved Japanese language schools in fiscal 2015, which ended in March. Due to Japan's declining population, the government aims to promote the establishment of Japanese language schools to attract more highly skilled foreign workers, but inappropriate operations at some schools have surfaced recently. A man running a Japanese language school in Fukuoka Prefecture was convicted in May of finding part-time jobs for students who worked more hours than allowed by law so they could earn money for school fees.

It's a rare business today that doesn't take at least some steps to optimize its website for search-engine rankings, but how best to do that remains an open question. A new study published Wednesday suggests that inbound links -- those leading from other websites into your own -- are even more critical than you may think. Search engine optimization, or SEO, essentially refers to all the things you can do to give your website the best possible placement in unpaid search results. If you sell widgets, you want your page to place as close as possible to the top of Google's results when someone searches on the term "widgets." The trick is making that happen.