Some people say that the genetic industry has always been an area where technology iterations are extremely fast. At this point, the sensor industry is just like the genetic industry. There is no "historical" and only "nearly". This is a rising industry, which is destined to be the most active “people and lakes” with talented people and technological innovation. In this field of technological innovation, more is the closed-loop formation driven by model innovation. The undercurrent of this rise is the driving force behind what we should see.

What is really needed in this process is to combine artificial intelligence and cognitive technology with the Internet of Things to build a cognitive Internet of Things that connects the real world (objects, sensors) and virtual worlds (human behavior, social language). Bridges, so that all connected objects will eventually have the ability to learn, think and understand.

This is an upgrade of the user experience. If “Internet+” brings us directly into the world of interconnection and realizes the seamless connection between suppliers and users, thus enhancing the experience of both parties, then “Internet of Things+” will be an experience of directly upgrading consumers. Bring users directly into a whole new world.

Intel has proposed three major ideas for the future world: perceptualization, all interconnections, and extension of computing. At present, perceptualization is gradually becoming the forefront of computing innovation. The original cold equipment can capture our instructions and make corresponding judgments without any button triggering. However, the primary condition for giving ice-cold device awareness is that everything is interconnected, allowing all devices to be deeply connected and communicated. As of 2015, there are reports showing that connected devices reached 15 billion. It is estimated that by 2020, connected devices will reach 200 billion. Finally, computing is everywhere, from smart homes, smart wearables, smart sports devices and even car intelligence that require independent thinking and analysis to create a smarter user experience, all of which are drivers. The power of networking evolution.

Then, Intel realized the Internet of Things through three areas: first, the existing equipment is transmitted to the cloud for calculation, while cloud computing can save a lot of manpower and material resources; second, many IoT applications are still at the front end. Intel is the only company with products from front-end to back-end. It has the ability to bring more front-end products to market, reduce costs and develop rapidly according to market applications. Intel also has a lot of investment in front-end. The third is end-to-end data analysis. This is more of the intelligent field of the Internet of Things. More analysis is processed in huge data in storage, and the requirements for data analysis are getting higher and higher. It is an improvement in performance and requires fast speed. In today's era, computing is ubiquitous, mobile devices make people and the environment naturally connected, cloud computing makes people, things and equipment and back-end services seamlessly connected, and our human society will enter a new era of all things intelligence and all things connected.

Therefore, there will inevitably be more "Internet of Things +" models that will bring us into the new world.

For example, an Israeli startup, Consumer Physics, successfully raised $3 million in crowdfunding on Kickstarter and became the fourth in crowdfunding online. The company's engineers developed a miniature spectrometer with a shape similar to a USB flash drive. The device, called SCiO, analyzes any material, including cosmetics, clothing, plants, soil, jewelry and precious stones, leather, rubber, oil, plastic, and even human tissue and body fluids. Imagine that in the future, you only need to use SCiO to sweep the fruit, you will know which melon is sweeter. If you sweep the leaves of the plants you have raised, you will know whether it should be watered. In the bar, sweep it with SCiO. Know if someone has given you the medicine; use SCiO to scan your face and know what nutrients are missing. When you buy jewelry and clothes, you can see if it is real...

The data is dead, the information is alive, and knowledge is universal. It is not easy to apply the knowledge that is passed through to the real thing. Technological innovation is like "muscle". Model innovation is like "blood". Only through cross-border and thinking transformation can we quickly transform more scientific and technological achievements that have been stored in laboratories into subversive products in the era of "Internet of Things +". People are more directly and more closely connected to the environment.