The Pentagon has sent new guidance to the armed services that lays out the military's authority to disable or shoot down any drone that violates airspace restrictions over a U.S. base and is deemed a security risk. The Pentagon has sent new guidance to the armed services that lays out the military's authority to disable or shoot down any drone that violates airspace restrictions over a U.S. base and is deemed a security risk. Jeff Davis told Pentagon reporters Monday that a classified policy was approved in July. On Friday, additional public information was sent to military bases around the country so officials can alert their communities about the restrictions and the actions the military can take. He said the new policy provides details about the actions the military can take to stop any threat, including destroying or seizing any unmanned aircraft -- including the smaller ones that the general public can easily buy -- that is flown over a base.

Multilayer graphs provide a framework for representing multiple types of relations between entities, represented as nodes. In a multilayer graph each layer describes a specific type of relation among pairs of nodes that are shared across layers. For example, in multi-relational social networks, two layers might correspond to friendship relations and business relations, respectively. In temporal networks, each layer might correspond to a snapshot of the entire network at a sampled time instant. Multilayer graphs can be incorporated into in many signal processing and data mining techniques, including inference of mixture models [1], [2], tensor decomposition [3], information extraction [4], multi-view learning and processing [5], graph wavelet transforms [6], principal component analysis and dictionary learning [7], [8], anomaly detection [9], and community detection [10], [11], among others. The objective of multilayer graph clustering is to find a consensus cluster assignment on each node in the common node set by combining connectivity patterns in each layer.

The US Army has increasingly used small consumer drones in the field, purchasing them as needed from consumer manufacturers like the well-known Chinese maker DJI. But documents indicate that the Army Aviation Directorate is now enforcing new orders, banning DJI drones "due to increased awareness of cyber vulnerabilities associated with DJI products." The documents, first obtained by Small UAS News, don't explain the Army's security concern, but refer to classified studies about DJI drones that first went out at the end of May. Previously, hackers have been able to jailbreak some DJI drones to control and modify things like safety features on the devices. Some reports have also indicated that DJI can gather location, audio, and even visual data from user flights. It's unclear what data DJI can access without customer consent, but location and media data from an Army drone could potentially reveal extensive information about US military operations.

Machine learning is, as you would likely imagine, extremely complicated, and not something your run-of-the mill computer engineer is going to be capable of without proper training. It requires someone with a background in computer science, likely with a doctorate in the sciences, as well as a significant amount of practical experience working with data at scale. Given that there is already a dearth of qualified data scientists, there is little to suggest that the situation is going to be any different when it comes to machine learning. And this is already hampering the technology. Just 15% of organizations manage to bring their big data projects to production, according to Gartner analyst Nick Heudecker, and he believes this number is likely to be far lower when it comes to machine learning.

The increase of commercial and private drones in the U.S. has raised our concerns with regards to safety and security of our installations,

As training data, drawn from planes_features.csv,

Editor's note: Throughout 2017, NextBillion is organizing content around a monthly theme, dedicating special attention to a specific sector alongside our broader coverage. This post is part of our focus on entrepreneurship for the month of July. The first part of that dystopian vision has already come to pass, as the constant procession of new AI and robotics breakthroughs in recent years demonstrates (see the links above). The second part – the mass job losses – has fortunately not yet arrived. But if you believe the emerging consensus of the economists and futurists who study these things, it won't be long before it does.

Britons might soon be able to request that their embarrassing social media posts be taken down and records of their existence wiped, according to new proposals outlined today. The new bill will transfer the European Union's General Data Protection Regulation into UK law, as well as making a few additions and amendments. It's currently possible to delete any of your own posts manually, but that doesn't necessarily remove the information from social media companies' databases. According to Facebook's terms and conditions, "some things can only be deleted when you permanently delete your account." While not all requests for deletion will be granted – companies can decline on the grounds of freedom of expression, and when the information of scientific or historical importance – those involving information posted by or collected from children will nearly always be honoured.

We users will be able to force social media firms to delete their personal information under new'right to be forgotten' rules unveiled by the government. The Data Protection Bill will make it simpler for people to control how companies use their data, with extra powers for the information watchdog to issue fines of up to £17million. Under the plans, individuals will have more control over their data by having the right to be forgotten and ask for their personal data to be erased. This will also mean that people can ask social media channels to delete information they posted in their childhood. They will be able to erase embarrassing information from the internet, such as posts on social networks or online dating sites.

These startups have seen investment from NEA, Andreessen Horowitz, and DARPA, among many others. As the digital health sector matures from basic tracking apps into highly regulated medical devices, we are seeing bleeding edge technologies being developed that blur the lines between computers and biology. And a growing share of these startups are beginning to target the brain. The burgeoning field of neurotechnology involves brain-machine interfaces, neuroprosthetics, neurostimulation, neuro-monitoring, and implantable devices intended to not only augment nervous system activity, but enhance its capabilities. One such project is Elon Musk's Neuralink which is developing, "high bandwidth brain-machine interfaces to connect humans and computers."