Apple has settled a major argument with chip maker Qualcomm that could help change the future of the iPhone. The two companies were locked in a bitter and worldwide international dispute about the technology that iPhones use to connect to the internet. The pair had been expected to try and resolve the dispute in legal hearings in San Diego, in a case that involved Apple's key iPhone suppliers. But just as that case began, the surprise truce was announced, with few details of the settlement being revealed. We'll tell you what's true.

The UK's porn ban will go into effect in July, the government has announced. After 15 July, all internet users will have be forced to prove themselves to be over 18 or be entirely blocked from seeing adult content. Under the new rules, any commercial provider of online pornography will have to carry out "robust age-verification checks on users" to ensure they are adults. We'll tell you what's true. You can form your own view.

The UK's porn ban is "disastrous" for people's privacy, critics have warned. A ban on pornographic websites will come into effect on 15 July, meaning any visitor will need to prove they are over 18 through "robust age-verification checks on users". These could take the form of entering personal details online, or even buying a pass from local shops. We'll tell you what's true. You can form your own view.

If you believe tech optimists, 10 years from now self-driving cars will be ubiquitous, drones will deliver our parcels, and robots will bring us our groceries. And one day soon, our cities will be painted with augmented reality that feels as if it belongs to the street corner where it was placed. Whether or not any of that comes to pass, one piece of the puzzle will be crucial to this future: ultra-precise location technology. GPS and the wandering blue dot on smartphone mapping apps are useful for a human navigating an unfamiliar city, but that just won't cut it for machines. They will need to know where things are down to the centimeter. London-based startup Scape reckons that's what it can provide.

We're going to look now at the state of artificial intelligence this month in All Tech Considered. You've probably seen that statement online alongside a prompt that says something like, type the letters you see, or, click on all the stoplights. Do it right, and you get to go on to the next page. These games are developed by Google. Researcher Jason Polakis of the University of Illinois at Chicago has proven that, in fact, robots are pretty good at CAPTCHAs.

It's been a little over two years since we were first introduced to Astrobee, an autonomous robotic cube designed to fly around the International Space Station. Tomorrow, a pair of Astrobee robots (named Honey and Bumble) will launch to the ISS aboard a Cygnus cargo flight. There's already a nice comfy dock waiting for them in the Japanese Experiment Module (JEM), and the plan is to put them to work as soon as possible. After a bit of astronaut-assisted setup, the robots will buzz around autonomously, doing experiments and taking video, even operating without direct human supervision on occasion. NASA has big plans for these little robots, and before they head off to space, we checked in with folks from the Intelligent Robotics Group at NASA's Ames Research Center in Moffett Field, Calif., to learn about what we have to look forward to.

Every year trash companies sift through an estimated 68 million tons of recycling, which is the weight equivalent of more than 30 million cars. A key step in the process happens on fast-moving conveyor belts, where workers have to sort items into categories like paper, plastic and glass. Such jobs are dull, dirty, and often unsafe, especially in facilities where workers also have to remove normal trash from the mix. With that in mind, a team led by researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a robotic system that can detect if an object is paper, metal, or plastic. The team's "RoCycle" system includes a soft Teflon hand that uses tactile sensors on its fingertips to detect an object's size and stiffness.

The large number of mobile devices, the volume of apps on each phone, and the basic mobility of the devices all mean there is a lot of information being creating in the mobile world. Managing that large volume of information is impossible in a reasonable timeframe using older technologies. Machine learning (ML) is critical to mobile advertising in a number of ways. Advertising is complex even in the older channels of print and broadcast. Cable increased the need for better data to more finely segment the audiences.

RIO DE JANEIRO, BRAZIL – iFood is planning to invest US$20 million in opening an AI learning center to strengthen ties with the tech industry. With an expected staff of 100 people by the end of the year, everything from machine learning, deep learning, behavioral science, and logistics will be covered. All of this is part of iFood's US$500 million funding round that began last year. São Paulo-based iFood is one of Latin America's biggest and most successful startup food delivery company. Seeing how the international food delivery ecosystem is worth around US$94 billion, it's easy to understand why iFood takes digital innovations so seriously.

A new learning system developed by MIT researchers improves robots' abilities to mold materials into target shapes and make predictions about interacting with solid objects and liquids. The system, known as a learning-based particle simulator, could give industrial robots a more refined touch -- and it may have fun applications in personal robotics, such as modelling clay shapes or rolling sticky rice for sushi. In robotic planning, physical simulators are models that capture how different materials respond to force. Robots are "trained" using the models, to predict the outcomes of their interactions with objects, such as pushing a solid box or poking deformable clay. But traditional learning-based simulators mainly focus on rigid objects and are unable to handle fluids or softer objects.