The 5G network promises to be up to 100 times faster than 4G. According to DAMO, this will accelerate the development of 4k and 8k ultra high definition videos, as well as the advance of virtual and augmented reality.<\/p>\n\n\n\n
This technology will also favour the development of the internet of things and autonomous vehicles where low latency (the reduction in the response time between sending and receiving an order) is essential.<\/p>\n\n\n\n
2. New computing architectures<\/strong><\/p>\n\n\n\n Heterogeneous computing architectures, systems with more than one type of processor and integrated circuits with a specific application (ASIC).\u00a0Everything aims to improve data processing, optimize energy efficiency and reduce latency, which is essential for the internet of things.<\/p>\n\n\n\n The computing architecture will be optimized to enhance the development of artificial intelligence and the long-awaited arrival of quantum computing.<\/p>\n\n\n\n 3. Artificial intelligence chips<\/strong><\/p>\n\n\n\n Machine learning<\/em>\u00a0systems\u00a0require processing large volumes of data at full speed.\u00a0To optimize these processes, more and more artificial intelligence (AI) chips will begin to be used, increasingly powerful thanks to 3D stacking.<\/p>\n\n\n\n These specialized chips could become the most relevant elements within the hardware used for training artificial intelligence.<\/p>\n\n\n\n 4. Virtual assistants increasingly “more human”<\/strong><\/p>\n\n\n\n Virtual assistants integrated into speakers, computers and phones have become increasingly intelligent: they answer questions, anticipate user needs and even tell jokes.<\/p>\n\n\n\n Machine learning is not only making them increasingly effective but increasingly “human.”\u00a0Proof of this is\u00a0the Duplex function with which Google\u00a0surprised during the developer event, in May 2018. There it was seen that the virtual assistant could make a call and book a shift at a hairdresser almost as if he were a person.\u00a0He was surprised by the naturalness of his voice, by the pauses and even doubts he expressed when speaking.<\/p>\n\n\n\n In 2019, attendees will continue to humanize to the point that, as anticipated by DAMO, they could even pass the Turing test in some situations.\u00a0Of course, new challenges also come along with these advances, hence it will be necessary to establish new regulations and control mechanisms so that this technology is not abused too, for example, commit fraud.<\/p>\n\n\n\n It will also be necessary to improve the security of this equipment to avoid leaking conversations.\u00a0It is worth recalling an incident released last December, in which\u00a0Amazon sent an Alexa user 1,700 recordings\u00a0of another person.\u00a0Or when in May, an Echo device recorded conversations of a couple and sent them, also by mistake, to a person in the contact list of those users.<\/p>\n\n\n\n Attendees will be increasingly human, helpful and companions of humans who will use them both to facilitate their tasks, as well as to interact with them to feel more accompanied.<\/p>\n\n\n\n 5. Common sense machines<\/strong><\/p>\n\n\n\n Neural networks emulate the functioning of the human brain. This gives machines increasingly greater cognitive, analytical and even common sense capabilities.<\/p>\n\n\n\n The use of deep learning techniques (\u00a0deep learning<\/em>\u00a0) would resolve situations that previously could not be addressed.\u00a0In this sense, one could begin to understand how the neural networks of AI make decisions.<\/p>\n\n\n\n This would allow to improve the training of the machines and continue towards an increasingly intelligent future.<\/p>\n\n\n\n 6. Smarter cities<\/strong><\/p>\n\n\n\n One of the great challenges of this year will be to find alternatives to improve the quality of life in cities.\u00a0In a context where there is an increasing concentration of inhabitants in small spaces, it becomes vital to improve waste management, optimize transportation and reduce environmental pollution, for example.<\/p>\n\n\n\n To solve these problems, it is important to have systems to analyze and better understand the needs of cities.\u00a0Thus, they will increasingly use urban simulation models that, from computer platforms, will be able to accurately reproduce movements in real-time in cities.\u00a0In addition, these systems will have predictive algorithmic models to better interpret unstructured data, such as videos.<\/p>\n\n\n\n DAMO concludes that, during this year, more money and resources will be invested in the development of applications to optimize these simulation models for the management of smart cities.<\/p>\n\n\n\n 7. Safer autonomous vehicles<\/strong><\/p>\n\n\n\n Technology will be developed to improve safety in autonomous driving. Something that is vital to install autonomous vehicles. It should be remembered that, following a failure, an autonomous Uber car ran over and killed a woman in Arizona, United States.<\/p>\n\n\n\n It is expected that in the next two or three years, this technology will be mature enough to be implemented in public transport and for automated package delivery.<\/p>\n\n\n\n 8. Digital identity<\/strong><\/p>\n\n\n\n Biometric systems such as facial recognition, fingerprint and iris reader are transforming forms of authentication.<\/p>\n\n\n\n This year will continue to expand this technology that is already used to verify identity, confirm payments or verify the income of people in the establishments.\u00a0In the European Community,\u00a0a border control system\u00a0has already been developed\u00a0that is capable of analyzing up to 38 facial microgents.\u00a0<\/p>\n\n\n\n It is also possible that new forms of biometric authentication arise.\u00a0There are already several lines of research that suggest\u00a0using heartbeats and perspiration.<\/p>\n\n\n\n 9. Technologies applied to data protection<\/strong><\/p>\n\n\n\n In this last year more attention was paid to the data: how are they compiled? How are they used? The biggest challenge now is to find mechanisms to take care of user privacy.<\/p>\n\n\n\n The economics of data requires that security measures be strengthened to prevent private information from leaking. In this sense, progress will be made in the implementation of systems to avoid cyber attacks and to expand traceability between systems.<\/p>\n\n\n\n 10. Blockchain-based applications<\/strong><\/p>\n\n\n\n Beyond the love and lack of love that bitcoin can generate, the truth is that there is something of this cryptocurrency that is here to stay: the blockchain.<\/p>\n\n\n\n Blockchain technology, used to validate transactions safely, began to expand. More applications are expected to arise based on this system, from electronic invoices to court records. The blockchain is already being used to make smart contracts, university degrees and even in the logistics field.<\/p>\n\n\n\n One of the benefits of the blockchain is that the blocks are intertwined to avoid modifying data that was already published and added to the chain. This gives the system greater reliability and transparency.<\/p>\n","protected":false},"excerpt":{"rendered":" Smarter cities, digital identity and 5G networks.\u00a0These will be some of the trending technologies that will set the pace for<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[27,25,26],"yoast_head":"\n![\"trending](\"http:\/\/www.techtodayinfo.com\/wp-content\/uploads\/2019\/08\/adi-goldstein-EUsVwEOsblE-unsplash.jpg\")
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