SoftBank, Nvidia, Microsoft and others said Monday that they have formed an alliance aimed at effectively using mobile base stations with the help of artificial intelligence. The members of the AI-Ran Alliance aim to work together in preventing communications congestion and promoting the use of smartphone apps using generative AI. The initiative was unveiled at the Mobile World Congress, an international trade fair for the telecommunications industry, in Spain. The group will apply AI technology so that data processing can be performed at mobile base stations rather than in the cloud, to help save power and eliminate communication delays. The alliance "has been formed with the vision to spearhead the advancement of society through AI innovations, particularly from the telecom industry," SoftBank President and CEO Junichi Miyakawa said in a statement.

Companies need to develop strategies for building and retaining critical and scarce cybersecurity skills--by, for example, making acquisitions, hiring outside talent, training existing staff, partnering, and outsourcing. Many products and services--a mobile base station, for example--are created using components from other companies. The security of an end product is only as strong as its weakest part. Finally, cybersecurity is an important organizational issue. Companies need to train their people to deal with these risks, and they have to build a culture and a mindset that are grounded in accountability, prevention, recognition, and responsiveness.

This year has been rollercoaster crash for many with numerous tragedies and crises occurring all over the world, but it doesn't mean that everything was grim in 2016. Join IBTimes UK as we take a closer look at the many new developments across various fields of technological research, each with the potential to revolutionise human life for the better. This section is devoted to the computer science research into replicating the human mind and helping computers solve complex tasks. For developments concerning the machines themselves, see our articles on robotics. In 2016, computer scientists have begun concentrating more efforts on building deep learning neural networks which are large webs of artificially intelligent classical computers that are trained using computer algorithms to solve complex problems in a similar way to the human central nervous system, and where different layers examine different parts of the problem to combine to produce an answer.

This year has been rollercoaster crash for many with numerous tragedies and crises occurring all over the world, but it doesn't mean that everything was grim in 2016. Join IBTimes UK as we take a closer look at the many new developments across various fields of technological research, each with the potential to revolutionise human life for the better. This section is devoted to the computer science research into replicating the human mind and helping computers solve complex tasks. For developments concerning the machines themselves, see our articles on robotics. In 2016, computer scientists have begun concentrating more efforts on building deep learning neural networks which are large webs of artificially intelligent classical computers that are trained using computer algorithms to solve complex problems in a similar way to the human central nervous system, and where different layers examine different parts of the problem to combine to produce an answer.