Given that the US economy is driven by domestic demand, consumption in particular, instead of exports, a high rate of eco
nomic growth will widen the trade deficit, as it would have to import more products than it exports. In such a situa
tion, the implementation of large-scale infrastructure construction projects would further increase the trade deficit.
To make up for the increasing savings gap, the US needs to introduce and use more foreign ca
pital, which will further enlarge the trade deficit. Therefore, the US cannot simultaneously maintain a high g
rowth rate, invest massively in infrastructure, reduce the trade deficit and restrict the inflow of foreign capital.
What is really questionable is that, despite its contempt for over-regulation of the economy, the US administration has been tryi
ng to impose regulations on international trade, even for its trade partners’ domestic economic management.
Using the database, researchers are able to carry out automatic facial recognition on panda faces to tell one animal from another, the center said.
Panda researchers hope algorithms and AI technology will help them analyze data on pandas both in captivity and the wild.
The app and database will help us gather more precise and well-rounded data on the population, distributi
on, ages, gender ratio, birth and deaths of wild pandas, who live in deep mountains and are hard to track,” said Chen Peng, a researcher w
ith the base who co-authored a paper on “Giant Panda Face Recognition Using Small Database.”
“It will definitely help us improve efficiency and effectiveness in conservation and management of the animals,” Chen said.
China has carried out four scientific field research project of giant pandas in the wild.
The giant panda was scientifically discovered 150 years ago and named in the city of Ya’an, Sichuan. It remains one of the world’s most endangered species.
peration in AI governance including laws and regulations, ethical norms and international rules,” Wang said.
The State Council issued a plan in 2017 that set benchmarks for China’s AI sector, with the value of core AI indu
stries predicted to exceed 1 trillion yuan ($145 billion) and make the country the global leader of AI innovation by 2030.
In December, Tianjin unveiled a three-year plan to boost the innovative development of seven AI-related indust
rial chains including independent and controllable information systems, smart security, big data, advanced co
mmunications, intelligent connected vehicles, industrial robots and intelligent terminals.
According to the plan, the government will build Tianjin into an AI in
novation center and a hub of AI industries and innovative applications by 2020.