Someday your home may need a drone landing pad. Whether its delivering packages or providing transport, drones are expected to play part of our lives in the coming years. Now, a new concept for a'Drone Tower' shows how we could shape our buildings to accommodate the rise in UAVs. As drones become more popular, eventually they will be incorporated into our homes, and blocks of flats will need to accommodate ways for the aircraft to land. A new concept for a'Drone Tower' shows how we could shape our buildings Charles Bombarier, a mechanical engineer in Quebec, Canada is founder of the blog Imaginactive, where he showcases far-fetched future design concepts.

Mustafa was Co-founder and Chief Product Officer of DeepMind Technologies, a leading AI company backed by Founders Fund, Li Ka-Shing, Elon Musk, and David Bonderman amongst others, which was bought by Google in 2014 in their largest European acquisition to date. He is now Head of Applied AI at Google DeepMind, responsible for integrating the company's technology across a wide range of Google products. And he has launched DeepMind Health in an effort to build clinician-led technology in the NHS. At 19, Mustafa dropped out of Oxford University to help set up a telephone counselling service, building it to become one of the largest mental health support services of its kind in the UK. He then worked as a Policy Officer for the Mayor of London Ken Livingstone.

But once Feldman was hired to write the personality of a chatbot for Kasisto, a startup that focuses on artificial intelligence software for banks, she became vocal about the importance of taking gender out of the identity equation. Under her watch, myKai, the bot she was hired to craft a personality for, would be neither female nor male. Feldman's boss at Kasisto, Dror Oren, says the work the team has done with the bot made him more outspoken about the need for equality in tech than he'd have imagined going into the project, and he's a self-proclaimed feminist to begin with. Now, he's hyperaware of the differences between the personality of Kai and overly feminine answers inside similar products made by most large tech companies. Kasisto is on to something.

The MegaFace dataset contains 1 million images representing more than 690,000 unique people. It is the first benchmark that tests facial recognition algorithms at a million scale.University of Washington In the last few years, several groups have announced that their facial recognition systems have achieved near-perfect accuracy rates, performing better than humans at picking the same face out of the crowd. But those tests were performed on a dataset with only 13,000 images -- fewer people than attend an average professional U.S. soccer game. What happens to their performance as those crowds grow to the size of a major U.S. city? University of Washington researchers answered that question with the MegaFace Challenge, the world's first competition aimed at evaluating and improving the performance of face recognition algorithms at the million person scale.

Telenor Group today announces two specific initiatives to support entrepreneurship and competence building in Norway. The ambition is to strengthen the nation s competitiveness and to stimulate job creation by Norwegian startups. In collaboration with the Norwegian University of Science and Technology (NTNU) and the leading research institute SINTEF, Telenor will establish a lab focused on artificial intelligence and big data at NTNU in Trondheim, Norway. As the second initiative, Telenor will develop and launch a dedicated, next-generation Internet of Things (IoT) network in several Norwegian cities. Norwegian startups and students will get cost-free access to the IoT network in order to develop and test their products and services. The first pilot will be located in Oslo, in collaboration with StartupLab.

Mark your calendars: automakers plan to put truly autonomous cars on our roads in the next five years. Ford has announced that it will manufacture a fleet of fully automated driverless cars, without steering wheels or pedals, and put them into commercial operation by 2021. The company--which has previously been modest about its self-driving-car claims--says that the vehicles will initially be used in ride-sharing fleets and for package delivery services, though it doesn't say which companies might be involved. To enact its plan, Ford has acquired the Israeli machine-learning firm SAIPS and invested 75 million into the laser imaging company Velodyne, and it plans to double the size of its Silicon Valley staff. But it isn't the first to give a firm date for the arrival of fully self-driving cars.

A Bloomberg tech journalist is leaving to join Elon Musk's 1 billion AI company Nasa launches million dollar contest to create'Valkyrie' AI robot that will accompany astronauts on ...

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

'Gamescom' visitors play computer games at the games fair during the media day on Aug, 17, 2016, in Cologne, Germany. Gamescom is the world's largest digital gaming trade fair and will be open from August 17-22.

The medical industry could be set for a "revolution" with the emergence of more complex artificial intelligence (AI), one of Microsoft's top researchers told CNBC on Wednesday, as technology giants look to enter the health care space. AI is a broad area, but one part of this called "machine learning", can be used to analyze a large amount of data, make predictions, and offer personalized recommendations. In theory, machine learning means that a piece of computer software can learn and get smarter. Microsoft and other major U.S. technology giants have been investing in AI, acquiring smaller companies, and finding applications. For Microsoft, the medical industry could be transformed with the tech.