Google has launched Android Pie, the ninth iteration of its mobile operating system. It follows on from Android Oreo – both alphabetically and in its sweet/ dessert theme – yet its predecessor never achieved a significant market share. More than 85 per cent of all smartphones sold this year run a version of Android, but less than 13 per cent of all Android phones use the Oreo OS. With Android Pie initially only available on Google Pixel phones, it is unlikely to capture much of the market in the coming weeks. But when its wider release comes later this year, a number of features could tempt people to upgrade.

Anonymous has promised to uncover the truth behind the "Qanon" conspiracy theory spreading across the internet and Trump rallies. Qanon and its supporters have become prominent in recent weeks . The conspiracy theory takes in much of the contemporary world, but its central beliefs are that there is a huge undiscovered paedophile ring among the elite and that Donald Trump is uncovering it. The video claims to know who is behind the baseless conspiracy theory and suggests that those associated with Anonymous may launch attacks on people who are sharing it. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

Andrew Ng is a great fan of reading research papers as a long term investment in your own study (On Life, Creativity, And Failure about Andrew Ng). Anyone who has worked in our field (AI, Machine Learning) can attest to that. AI is a complex and a rapidly evolving field. It's a challenge to stay up to date with the latest technical details. Based on my experience, in this post, I discuss how you can stay up to date by learning from the community.

By automating tasks such as feature engineering and machine learning model creation, data scientists are now able to create fraud prevention solutions as much as 50 times faster than is possible with the traditional data science workflow. Increasingly intelligent fraud attacks require teams to act faster than ever to fight evolving fraud risks on multiplying fronts. Feedzai AutoML enables teams to deliver results faster and to quickly expand to new use cases, channels, and geographies. Now, data scientists can quickly generate the most relevant features and models, and adapt more quickly to fast-evolving fraud schemes and attack vectors. Feedzai AutoML works by automating and integrating the most repetitive and time-consuming steps in the data science pipeline, freeing data scientists to perform more consequential tasks.

From the discovery of an eighth exoplanet circling distant star Kepler-90 to Microsoft's ambitious new project to map and decode the human immune system, Artificial Intelligence (AI) and especially its subset Machine Learning – a field of Computer Science that gives computers the ability to "learn" based on past data – have seen a promising boom in application across numerous industries over the past decade. The investment banking sector is amongst those. Opportunities abound, from the basics – like relieving employees of time-consuming, menial tasks, such as cleaning their inboxes or resetting passwords – to more consequential services – such as fighting money laundering, rogue trading, and cybercrime. Even more, the technology promises to protect employee rights through unprejudiced recruitment. Over the past few years, banks, from HSBC to Credit Suisse, have been partnering with financial technology companies to integrate AI into a wide range of operations.

On July 4, swarms of sugar-happy children, sparkler laden teens, and buzzed, burger-full adults crowd the streets in cities across the US. They stagger in packs, waving flags and wearing flags, acting, and let's not mince words here, like very patriotic fools. Many have the day off, and maybe the day after off, too. Add fireworks, and you have the makings of a very good time. Unless you're a self-driving car developer, in which case you have the makings of a nightmare. See, on most days of the year, walkers act fairly predictably.

For the developers of self-driving vehicles, semi-trucks are a potential low-hanging fruit. Although big rigs are imposingly, intimidatingly huge, they also predominantly run on freeways and other fixed routes that are simpler to automate. Fleet managers are easier to convince with rational, financial arguments than individual car buyers. Today, a new startup, Kodiak Robotics, is edging out of stealth, announcing $40 million in financing, and telling the world it's going to pick and ship that fruit. The company is worth watching because it's cofounded by Don Burnette, who also cofounded Otto, a trucking startup acquired by Uber in 2016, and particularly notable because it led to a high-profile legal spat in the nascent autonomous vehicle industry.

On Tuesday, a new report from O'Reilly outlined the current state of machine learning adoption in the enterprise and how recent political moves have affected it. With the EU's recent General Data Protection Regulation (GDPR) mandates, more companies will begin to implement privacy safeguards into their machine learning practices. The new policies, however, happen to coincide with more tools and methods evolving that deal with privacy-preserving analytics and machine learning, the report noted. The report noted that GDPR pushes for "privacy by design," meaning that data protection should be included when a system is being developed, rather than be added later. Similarly, more businesses are taking interest in privacy-preserving analytic methods.

If you're a tiny bit freaked out by the enormous potential of AI and blockchain, you're not the only one. When Dolly the sheep was cloned in the 90s, a pertinent question arose. Just because we can, does it mean we should? Just because AI and blockchain technologies combined may stop crimes before they happen, replace human jobs with robots, and assign every "thing" in the stratosphere an identity-does it mean they should? Are AI and blockchain combined super cool or a little creepy?

The world of an 80s teenager was one of arcade machines, LPs and Nintendo game consoles. And now you can step back in time and enter that world thanks to a computer museum that has recreated it using a series of fascinating exhibitions. They include an 80s classroom with'state-of-the-art' Apple IIe computers, a'friend's basement' that contains wood-panelled walls and a classic Nintendo Entertainment System (NES) console, and a videogame arcade. A typical basement from the 1980s has been recreated at the Living Computers: Museum Labs in Seattle. There is also a 1980s classroom packed with Apple IIe computers.