As one of the benefits of ADI's president and chief executive officer, you can travel around the world and meet customers from a variety of industries across the region to hear their opinions about the technology, business, and market challenges that we face. A wide variety of electronic devices that affect every aspect of our modern life, such as transportation, healthcare, communications, etc. Our discussion tends to focus on how we can at the moment be able to bridge the gap between reality and the digital world and to explore what they want Innovations to be achieved in the future Based on these and other studies, I conclude the following five macro trends in science and technology that will have the greatest impact on business and society in 2018.
artificial intelligence
Just as people struggled to realize the benefits of digital ten years ago, customers in every market segment are passionately trying to understand the value that artificial intelligence and machine learning have for their businesses, and with the constant elimination of barriers such as affordability / affordability, Coupled with the fact that some AI-specific applications are gradually generating benefits and application-level impacts in industrial environments, the focus on AI applications is expected to accelerate by 2018. AIs, for example, have evolved to learn and adapt to new industrial robots without special training The stage of the environment or unfamiliar objects.
With innovations in low-power signal processing, the AI at the edge nodes will start to transform from novelty to conventional technology, while driving more intelligent system partitioning between the edge and the cloud through contextual contextual data and information will enable intelligent edge Calculating a reality.
At the same time, AI applications that compete with human intelligence will continue to be dominated by university research.
Autonomous / intelligent machine
Autonomous systems for cars, drones and robots will continue to evolve in 2018, but will be limited by some pending regulatory and technical issues, but in the coming months some autonomous systems It will continue to show us some progress, such as the pilot deployment of driverless taxis in restricted areas, in particular long-distance transport such as trucks and trains, which will be one of the applications that have made substantial progress in the near-term unmanned drive.
Driven by the constant pursuit of productivity gains, the drive to add intelligence to machines will also accelerate the Factory Automation / Industry 4.0 process, where, for example, advances in machine learning will significantly improve the system's ability to deliver valuable performance based on its own independent status monitoring Advice and forecast.
Ubiquitous wireless sensor networks and data
Advanced materials, enhanced features and MEMS combine to make sensor size and cost a breakthrough, making wireless sensor networks ubiquitous possible. With wireless mesh networks for deployment in IoT and industrial applications, there is no need to rewiring extensively Adding sensing capabilities to existing systems, however, end-to-end security from sensors to the cloud will be a fundamental requirement for industrial users to deploy industrial IoT on a large scale.
The drive to make products and systems smarter will also increase the need to manage and analyze the growing data flow.As data loads continue to increase, data centers will require higher processing performance and advanced power management Innovate to mitigate the risk of high-temperature data center systems, and we'll also gradually see edge nodes integrating more intelligence to begin classifying and processing data flows.
HMI
As augmented reality and virtual reality ecosystems thrive and encourage more innovation, mixed reality systems will continue to emerge and gain popularity, as their commercial AR / VR systems accelerate, their costs will fall and will range from such things as Industrial and other areas of remote diagnosis and maintenance.
In addition, voice-user interaction has been well-anticipated but there are some limitations to this technology, especially in noisy environments, where Gartner predicts that 30% of technology interactions will be achieved through "conversations" with intelligent machines by 2018 Means that technology and service providers need to invest now to improve the current limited voice interaction. Heterogeneous Manufacturing
With the soaring development costs of deep-submicron technology and the increasingly challenging technology and cost challenges facing Moore's Law, the heterogeneous integration of multiple technologies in a single package, single-layer laminate, or even a single silicon substrate will increase A new business model of capitalizing on heterogeneous manufacturing will emerge that will allow reorganization of small-scale semiconductor manufacturers unable to invest in state-of-the-art IC lithography for remanufactured innovations. For larger and larger suppliers, signal processing Algorithms integrated into the chip will help to enhance the value of its program.
in conclusion
As the saying goes, the best way to predict the future is to create the future.When semiconductor innovations are to become the foundation of these emerging applications, analog technologies will become even more in the 'data hungry' world Importantly, Analog Devices will make every effort to make these predictions a reality by 2018.