The world's fastest organic sensor: soil repair new material!

1, Fuji is developing the world's fastest organic sensor

Following Panasonic's recent show of organic sensors that capture both visible and near-infrared light, Fuji recently claimed new advances in the development of organic sensors, the world's fastest organic sensor consisting of two layers, For the traditional pixel layer, the lower layer is responsible for data transmission circuit layer. The circuit design will enable the camera's image and video capture capabilities to a higher level.

2, Chinese Academy of Sciences successfully developed soil remediation of new materials! The cost per mu does not exceed 30 yuan

According to the Xinhua News Agency, the reporter learned from the Hefei Institute of Physical Science, Chinese Academy of Sciences that the institute's Institute of Biological Technology and Bioengineering successfully developed a new type of nanocomposite that can efficiently capture and transform harmful heavy metal ions in acid soils. The average cost of mu does not exceed 30 yuan. The research was recently published in ACS Sustainable Chemistry & Engineering, the journal of the American Chemical Society's core journal for green chemistry.

3, Google officially released TensorFlow 1.0 version

Google recently held its first TensorFlow Dev Summit in Mountain View, California, and released version 1.0 of the open-source machine learning system TensorFlow, leveraging the popular artificial intelligence technology of today. Google said the newly released product has been produced through an application programming interface (API).

4, Alphabet networking balloon project made new breakthroughs: lower costs

According to Venturebeat, Alphabet Inc., the parent company of Google, announced the recent progress made by Project Loon, a networking balloon project where X Labs provides network connection services to specific locations. This project requires fewer balloons, so deployment costs Followed by lower. X Labs said in a statement: "In the past few months, we have made a major breakthrough by applying machine learning to navigation algorithms, and now we can bring together balloon balloons that are deployed in a particular area of ​​the globe Over. "X Labs promised they would speed up the project and ground-user testing will be done soon.

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