The most noteworthy electronics industry in 2014 is the vastness of information, medical advances, and mobile applications. According to the International Institute of Electrical and Electronics Engineers (IEEE) recently selected the top ten technology trends in 2014, it is expected that the convergence of cloud computing and mobile devices, the progress of medical data and equipment, and the privacy of social media will continue to occupy the news in 2014. Layout. More importantly, 3D printing will start to worries in the new year.
“In 2014, many promising technologies will be introduced from innovation to maturity and widely adopted, such as mobile cloud integration services, massive data analysis, Internet of Things and 3D printing, etc.†2014 IEEE Computer Society President Dejan Milojicic said.
So what is the most amazing trend in 2014? Dejan Milojicic pointed to 3D printing will bring about a gradual progress, "it will bring a huge opportunity to comprehensively change the manufacturing landscape, so that the standard of sales products can be upgraded to the sales design level, so that individual consumers can use Produce custom products on your own."
The IEEE expects the first technological trend in 2014 to be the convergence of action and the cloud. “Cloud computing is ideal for testing small-scale project cases, overall development, and allowing scientists to share research results;†Milojicic said. “Since interconnects and virtualization can cause noise and latency constraints, it is currently not suitable for large-scale implementations. Parallel scientific applications.†But he predicts that more applications will be transferred to cloud applications in the future, especially “as cloud computing technology continues to evolve to enable better interconnects and noise-free virtualization, more and more Scientific applications will also be introduced into the cloud space."
The IEEE also expects to see significant advances in healthcare in 2014. “Data analysis will help analyze patient data such as heart rate, blood pressure and temperature,†Milojicic said. “The data is transmitted by sensors connected to the back-end server to monitor health conditions, not just for some. The patient is extremely valuable and will eventually work for anyone."
Although most of the predictions are very positive in nature, there is also an ominous prediction that social media security issues are increasing. “This is an important topic. But in fact this is not limited to social networks. Almost all mobile phone providers, as well as global customer data owned by Google, Apple and mobile companies, are even more than any single government can collect. "Milojicic said, "Once this information is used for the wrong purpose, it will cause serious harm. At present, in social networks, users have at least some options to maintain a certain degree of privacy. If you use a mobile phone, it is still a big problem that is difficult to solve."
The following are the IEEE's top ten technology trend forecasts for 2014:
Action and cloud convergence
The convergence of mobile applications and cloud computing technology is expected to create a new platform that can provide unlimited computing resources. Mobile devices are often limited by their memory, processing power consumption, and battery life, but when combined with cloud computing, data processing and storage can be performed outside of the mobile device.
Internet of Things: From IoT to WoT
The Internet of Things (IoT) will evolve into the 'Web of Things' (WoT), further deepening the application of the concept of networking. After surpassing the Internet of Things, communication and convergence between heterogeneous networks has become a trend, such as the use of mobile devices and sensors to observe and monitor the environment, so that identifiable things are continuously and seamlessly integrated. In the information network, the different protocols between IoT devices are further integrated through the existing web architecture, thereby increasing the synergy between real-world things and their corresponding counterparts on the network.
From huge amounts of data to extreme data
In order to solve the problem of massive data flooding, new analysis tools will appear in 2014, and new leading manufacturers will also emerge. The reason why the huge amount of data is difficult to tame like a tiger is not only the problem of data flow, speed and diversification, but more importantly, the technical field has not fully kept up with the requirements of data scientists, and meets various industries - from finance And the insurance company to marketing, healthcare and scientific research institutions - the demand for easy-to-use analysis tools, so that they can make the collected information available.
In the current era of 'extreme data', new paradigms and implementation tools for data processing and analysis are needed. At the same time, in 2014, a competition will be held between related manufacturers and vendors to compete in this field. The dominant position.
3D printing shows breakthrough progress
New tools and technologies will enable the power of 3D printing to be implemented in enterprise and mass applications. The new 3D printing tools and technologies will empower companies around the world to create new components for themselves who like DIY, and learn about new concepts faster, cheaper and easier than ever before. These range from automotive components, batteries, artificial prosthetics, and computer chips to jewelry, apparel, firearms, and even pizza. With the emergence of new tool suites, services and platforms, and innovative business models and processes (such as online 3D printing and fundraising sites), the future of digital functions enabled to be 'printed' into physical objects will be in 2014. Continue to progress.
Digital manufacturing technology has revolutionized the design, prototyping and production of hardware. For example, the addiTIve process required in 3D printing and advancements in subtracTIve processes such as laser cutting not only improve quality, speed, and simplify physical prototypes, but also reduce costs.
New learning style requires new technical support
The emerging new online course requires new technical support. Recently, students from all over the world can sign up for online courses and learn all aspects of computer science, digital signal processing, machine learning, European history, psychology and astronomy, all free of charge. With the masses’ interest in this large-scale Internet Free Open Course (MOOC), which has access to learning resources through Internet connections, it will soon need corresponding technologies (such as developing seamless networking). , ubiquitous and context-based learning pathways to support these new learning systems and patterns.
New generation mobile network architecture
The new mobile infrastructure must keep up with the needs of users. The ubiquitous action is just around our lives, not only because we need to use smart phones to keep in touch with friends and family, but also to use ticketing systems, shopping and watching videos on buses and trains, and Listen to music and more through your mobile phone and MP3. Therefore, the mobile computing system must be upgraded to meet the immediate requirements of consumer users and businesses.
However, many of today's systems still operate in less developed network architectures, power and computing environments, and researchers must develop new tools and applications to help solve service quality problems.
Balance the identity and privacy of social networks
Risks and concerns about the security of the social network. The social network has quickly become an important organizational principle for Internet communication and collaboration. While the Internet-based social network offers tremendous opportunities, the growth of these systems and their continued interest in attracting new risks have created new risks and growing concerns. For example, social network users may be hurt on the Internet, their photos may be stolen, or their status information may be used by people with ulterior motives.
There is a major conflict between personal privacy and the benefits of the system, and researchers are working to find new solutions to meet these challenges.
Smart and connected healthcare system
Smart systems and auxiliary devices will promote the advancement of intelligent medical care. Computer computing plays an important role in many aspects of our lives, especially in terms of personal and social well-being. As more and more intelligent systems, applications, gadgets, and mobile systems that emphasize diet, fitness, and information continue to develop, personal health is gaining more and more attention. In the future, including medication, surgery, and ancillary equipment will rely on data analysis and human response from smart systems to guide the implementation and management of treatment and interventions.
In addition to focusing on personal work, the use of smart systems for large-scale analysis of biomedical data, socially relevant data, and large amounts of data continues to increase rapidly, for example, to analyze disease transmission pathways or a certain health habit in the population. .
Ensuring the interoperability of e-government
E-government, e-government or several governments refer to the use of information and communication technologies to provide and improve government services, transactions and interactions for citizens, businesses and other government branches. In order to achieve a successful e-government, it is indispensable to establish interoperability. But the challenges in this area focus on the interoperability of e-government in cloud computing, government affairs disclosure, and smart city action.
Scientific cloud computing solves major challenges
Scientific cloud computing will further change the efforts of science to solve 'major challenges'. Scientific computing has begun to change the efforts and achievements of science. Through many new experiments, many scientific breakthroughs have been achieved, which was an impossible task ten years ago. Scientific cloud computing is the key to solving major challenges in many areas, and it can provide breakthroughs in new knowledge, which can occur in many forms and forms: high-performance computing, high-transmission computing, multiplex computing, and data-intensive computing. The combination of data generated by huge amounts of data is continuing to multiply in complexity and data volume, making massive data analysis, archiving and sharing one of the major challenges of the 21st century.
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