A new batch of Machine Translation tools driven by Artificial Intelligence is already translating tens of millions of messages per day. Proprietary ML translation solutions from Google, Microsoft, and Amazon are in daily use. Facebook takes its road with open-source approaches. What works best for translating software, documentation, and natural language content? And where is the automation of AI-driven neural networks driving?

Sometimes when you are on the brink of a rebellion, it's hard to see what's happening around you. Chandler, Arizona, has become a hot bed of attacks on autonomous vehicles (AVs). Over the past three years, people have assaulted self-driving cars in the city nearly two dozen times, pelting them with rocks, trying to run them off the road, challenging them to games of chicken, and slashing their tires. One man even threatened an AV with a .22-caliber But police chief Sean Duggan says Chandler is "absolutely not" at the forefront of a rebellion between humans and machines.

Until recently, artificial intelligence has struggled to gain a foothold on Wall Street. In the last few years, large investment banks like Goldman Sachs and JP Morgan have hired artificial intelligence specialists away from academia and put them in charge of their internal AI divisions. Financial technology start-ups have begun using machine-learning algorithms to model credit ratings and detect fraud. And hedge funds and high-frequency traders are using AI to make investment decisions. Politicians are starting to take notice.

Being virtually hooked up to a human could help robots respond to disasters or other situations that would put human responders' lives at risks. The researchers say that a system like this could be used to help in robotic clean-up operations such as the one after the Fukushima Daiichi nuclear power plant disaster in Japan in 2011. Humans could have guided robots to navigate around the site more accurately, from a safe distance. And while there's currently no machine learning involved in the process, Ramos believes the data captured from the system could be used to help train autonomous robots.

Delivery drones could get further by taking the bus. By landing on public transport, the little flying vehicles could travel four-and-a-half times as far, making them more useful for carrying packages over longer distances. Drones are agile, fast and energy-efficient, but their measly battery life means they can't fly for long – considerably less than an hour for most consumer drones. That's a problem if you want to deliver packages across a large city so researchers at Stanford University devised a computer program that plans deliveries by getting drones to piggyback on public …

DeepMind says it has created the first artificial intelligence to reach the top league of one of the most popular esport video games. It says Starcraft 2 had posed a tougher AI challenge than chess and other board games, in part because opponents' pieces were often hidden from view. Publication in the peer-reviewed journal Nature allows the London-based lab to claim a new milestone. But some pro-gamers have mixed feelings about it claiming Grandmaster status. DeepMind - which is owned by Google's parent company Alphabet - said the development of AlphaStar would help it develop other AI tools which should ultimately benefit humanity.

Apple customers can now opt out of having their conversations with Siri listened to by human "graders" and delete any clips that have already been uploaded, three months after the Guardian revealed the practice based on a whistleblower report. In the latest software updates for Apple's products, including iOS 13.2 and macOS 10.15.1, users have the option to disable the grading feature while still using Siri as normal. The preferences are not particularly prominent. To opt out of future grading on iOS, in the settings app, under the heading privacy, users can tap on "Analytics & Improvements" then disable the preference to "improve Siri dictation". To delete their uploaded clips, they go to Siri & Search in the settings app, tap on Siri & Dictation History, and then hit a red button marked "Delete Siri & Dictation History".

University of Bristol researchrs developed a handheld robot that predicts a user's plans, then frustrates the user by rebelling against those plans. Researchers at the University of Bristol in the U.K. have developed a handheld robot that predicts a user's plans, and then frustrates the user by rebelling against those plans, demonstrating an understanding of human intention. The robots hold knowledge about the task at hand, and can help the user through guidance, fine-tuned motion, and decisions about task sequences. While the technology helps fulfill tasks quicker and with higher accuracy, users can get irritated when the robot's decisions are not in line with their own plans. The team used a prototype that can track the user's eye gaze, along with machine learning, to derive short-term predictions about intended actions.

Clearly alarmed by shifting public perceptions about facial recognition technology and the potential for state and local governments to impose an outright ban on the use of such technology, tech vendors and other businesses offering facial recognition technology solutions are now mobilizing their forces. They are reaching out to U.S. congressional leadership, urging the House and Senate to re-think any initiatives to impose a "blanket moratorium" on the use of facial recognition technology. And, at the same time, they are rushing to the legal defense of big Silicon Valley tech firms such as Facebook, which is facing a major class action lawsuit in the state of Illinois over the wrongful use of biometric facial data. In one highly public move, the U.S. Chamber of Commerce wrote an open letter on facial recognition technology, which was addressed to the top political leaders in both the U.S. House of Representatives and U.S. Senate. The letter on facial recognition technology urges political leaders to consider all the positive uses of the technology.