Skip to main content

China Sets National Laboratory to Lead World in Brain-Like AI Artificial Intelligence

AI, Artificial intelligence, AI Artificial Intelligence, AI Lab,

China's first national laboratory for brain-like artificial intelligence (AI) technology was inaugurated Saturday to pool the country's top research talent and boost the technology. China’s rapid rise up the ranks of AI research has the world's scientific community taking notice. In October, the Obama White House released a “strategic plan” for AI research, which noted that the U.S. no longer leads the world in journal articles on “deep learning,” a particularly hot subset of AI research right now. The country that had overtaken the U.S.? China, of course.
“I have a hard time thinking of an industry we cannot transform with AI,” says Andrew Ng, chief scientist at Baidu. Ng previously cofounded Coursera and Google Brain, the company’s deep learning project. Now he directs Baidu’s AI research out of Sunnyvale, California, right in Silicon Valley.
“China has a fairly deep awareness of what’s happening in the English-speaking world, but the opposite is not true,” says Ng. He points out that Baidu has rolled out neural network-based machine translation and achieved speech recognition accuracy that surpassed humans—but when Google and Microsoft, respectively, did so, the American companies got a lot more publicity. “The velocity of work is much faster in China than in most of Silicon Valley,” says Ng Approved by the National Development and Reform Commission in January, the lab, based in China University of Science and Technology (USTC), aims to develop a brain-like computing paradigm and applications.
The university, known for its leading role in developing quantum communication technology, hosts the national lab in collaboration with a number of the country's top research bodies such as Fudan University, Shenyang Institute of Automation of the Chinese Academy of Sciences as well as Baidu, operator of China's biggest online search engine.
Wan Lijun, president of USTC and chairman of the national lab, said the ability to mimic the human brain's ability in sorting out information will help build a complete AI technology development paradigm. The lab will carry out research to guide machine learning such as recognizing messages and using visual neural networks to solve problems. It will also focus on developing new applications with technological achievements.


Popular posts from this blog

Handy Practical Guide to Machine Learning Algorithms for Beginners

Broadly, there are 3 types of Machine Learning Algorithms.. 1. Supervised LearningHow it works: This algorithm consist of a target / outcome variable (or dependent variable) which is to be predicted from a given set of predictors (independent variables). Using these set of variables, we generate a function that map inputs to desired outputs. The training process continues until the model achieves a desired level of accuracy on the training data. Examples of Supervised Learning: Regression,Decision Tree, Random Forest, KNN, Logistic Regression etc. 2. Unsupervised LearningHow it works:In this algorithm, we do not have any target or outcome variable to predict / estimate.  It is used for clustering population in different groups, which is widely used for segmenting customers in different groups for specific intervention. Examples of Unsupervised Learning: Apriori algorithm, K-means.
3. Reinforcement Learning:How it works:  Using this algorithm, the machine is trained to make specific de…

AI Careers: Skills to Get Artificial Intelligence Jobs

As we can see from the history of artificial intelligence the rate of improvement in this field is just unbelievable. So the job opportunity in artificial intelligence is constantly growing. If you have desired skill sets, you can start your journey in the world of exciting Artificial Intelligence.

Now Artificial Intelligence is playing a crucial part in almost all industries. According to a survey AI market is estimated to grow to $5.05 billion by 2020 at a CAGR of 53.65% percent from 2015 to 2020.
AI is a technology that leads us to a new industrial revolution. Our generation can clearly see the positive impacts of AI in almost all the important fields like Healthcare, Finance, Education, Manufacturing etc.
With the help of AI we are entering into the new world of automation. The future of Artificial Intelligence is giving a confidence to make the world in better place. At the same time, some of the important scientists like Stephen Hawking alarmed about the danger (to Human and for…

A Complete Report On Data Scientist Salary

Executive Summary O’Reilly Data Science Salary Survey, we’ve analyzed input from 983 respondents working in the data space, across a variety of industries— representing 45 countries and 45 US states. Through the results of our 64-question survey, we’ve explored which tools data scientists, analysts, and engineers use, which tasks they engage in, and of course—how much they make. Key findings include: Python and Spark are among the tools that contribute most to salary.Among those who code, the highest earners are the ones who code the most.SQL, Excel, R and Python are the most commonly used tools.Those who attend more meetings, earn more.Women make less than men, for doing the same thing.Country and US state GDP serves as a decent proxy for geographic salary variation (not as a directestimate, but as an additional input for a model).The most salient division between tool and tasks usage is between those who mostly use Excel, SQL, and a small number of closed source tools—and those who …