Ranking of scientists in the field of artificial intelligence

In 2017, "artificial intelligence" became a hot word. With the advancement of academic research and technology application in the field of artificial intelligence, artificial intelligence is forming integration with various industries and promoting the development of various industries and social economy. In the era of artificial intelligence, what are the attention-grabbing artificial intelligence scientists in the world? In this regard, E-Europe took a list of ten scientists who have made outstanding achievements in the research and application of artificial intelligence.

These ten scientists have made outstanding achievements in artificial intelligence research and have a high academic status. At the same time, they also devote themselves to the industry. Some of them set up their own companies or directly work for companies such as Google and Facebook, while others are Enterprises provide AI solutions.

Ranking of scientists in the field of artificial intelligence

Michael I. Jordan

Michael I. Jordan is a member of the National Academy of Sciences, the National Academy of Engineering, and the American Academy of Arts and Sciences. He is the only scientist in the field of machine learning. He helped spread the use of Bayesian networks in machine learning applications and was often hailed as one of the original thinkers who made everyone aware of the connection between machine learning and statistics. He is full of talents such as Yoshua Bengio, the authority of deep learning, Zoubin Ghahramani, the authority of Bayesian learning, and Wu Enda, the former chief scientist of Baidu. In May 2017, he was invited to be the chairman of the Ant Financial Scientific Think Tank and the first technical advisor to Ant Financial.

Eric Xing

Eric Xing is a professor at Carnegie Mellon University and served as Chairman of the International Machine Learning Conference (ICML) in 2014. His main research interests are in the development of machine learning and statistical learning methodologies and theories, and the development of large-scale computing systems and architectures. He founded Petuum, a company focused on the development of solutions for artificial intelligence and machine learning, which Tencent invested in.

Geoffrey Hinton

Geoffrey Hinton is a professor of computer science at the University of Toronto. He is known as "one of the three founders in the field of industrial intelligence", "the father of deep learning", and "the father of neural networks." Thirty years ago, Hinton proposed backpropagation (BP) in his paper, which laid the foundation for the development of artificial intelligence. In the 2012 ImageNet Image Recognition Competition, Hinton improved the accuracy of image recognition by a “deep learning” approach, opening up today's deep learning and AI boom. In 2013, Google acquired DNNResearch, which was founded by Sinton. Since then, he has been working on the Google "brain" neural network project. With his help, Google's image recognition and Android system audio recognition capabilities have been greatly improved.

Yann LeCun

Yann LeCun, like his teacher Geoffrey Hinton, is hailed as "one of the three founders in the field of artificial intelligence." In the mid-1980s, Lekun and his teachers, including Sinton, proposed back-propagation (BP), and then Lekun applied BP to the convolutional neural network at Bell Labs, and applied it to each. Among the image-related tasks, it can be said that he allows artificial intelligence to acquire information in a manner similar to the human eye and the human brain. In 2003, Lekun was hired by New York University (NYU) as a professor of computer science and neuroscience. In 2013, he joined Facebook and currently serves as Facebook's chief AI scientist.

Yoshua Bengio

Yoshua Bengio is known as “one of the three founders of artificial intelligence” and is currently a professor of computer science and operations research at the University of Montreal, Université de Montréal. His research focuses on advanced machine learning and is dedicated to solving artificial intelligence problems. At the end of 2016, Bengio launched a startup incubator called Element AI to provide AI solutions for businesses. In 2017, Tencent invested in this company.

SebasTIan Thrun

SebasTIan Thrun is a vice president and researcher at Google, CEO of Udacity, and a part-time research professor in computer science at Stanford University. Shi Lang is known for his research in robotics. He led the development of the self-driving car "Stanley" and won the 2005 DARPA Grand Challenge. Shi Lang and his team wrote Stanley's 100,000-line code software that interprets sensor data and is responsible for navigating the vehicle. Shi Lang is currently the head of Google's self-driving car project and is known as the "father of Google's unmanned vehicles."

Demis Hassabis

Demis Hassabis is a British expert in artificial intelligence research, neuroscientists, computer game designers and chess masters. The once-sensational Go AI AlphaGo comes from his handwriting. Kasabis is the co-founder of DeepMind, and part of the AI ​​R&D project of DeepMind has been applied in energy, medical, water source improvement, blockchain and other fields. In 2014, DeepMind was acquired by Google. Currently, Hassabis is the vice president of engineering for the Google Artificial Intelligence project.

Jürgen Schmidhuber

Jürgen Schmidhuber is the co-director of the IDSIA of the Lugano Artificial Intelligence Laboratory in Switzerland, and is known as "the person who will be called the father of the first robots with self-awareness". He became the winner of the 2016 Neural Networks Pioneer Award in the IEEE Computational Intelligence Association for his pioneering contributions to deep learning and neural networks. The smartphone speech recognition we use comes from his research. Today, more than 1 billion people can use algorithms developed by IDSIA, such as Google Voice Recognition on smartphones.

Fei Fei (Fei-Fei Li)

Fei-Fei Li is a professor at Stanford University, the head of the Artificial Intelligence Laboratory and Visual Lab at Stanford University, and the chief scientist of Google Cloud Artificial Intelligence and Machine Learning. She is the founder of the ImageNet project, a computer vision system recognition project that is the largest database for image recognition in the world. This database is used to train deep learning picture recognition algorithms, such as the "recognition cats" we know.

Andrew Ng

Andrew Ng is an associate professor in the Department of Computer Science and Electronic Engineering at Stanford University and the Director of the Artificial Intelligence Laboratory. He is the first person in the world to give the machine the ability to “recognize cats” and is hailed as one of the most authoritative scholars in the field of artificial intelligence and machine learning. Wu Enda served as the chief scientist of Baidu, and also founded Google Brain, a deep learning research team of Google, and Coursera, an online learning education platform. Currently, Wu Enda is the new chairman of Woebot.

USB Countdown Timer Socket

Function description

The socket is ordinary converter,with two output 5V2A power USB power supply at the same time,can be very convenient in use electrical appliances and recharge the equipment at the same time,such as digital products like Iphone Ipad,MP3,MP4 etc.The charge apply to full range of international AC output,no-load power consumption less than 0.3W,with short circuit,overload,over-voltage protection,can be convenient for your life and save more energy

Timer Control Time Adgustment

1.Press the power switch 1 time,the 1HOUR LED will light on.The Timer into ON mode,USB and control socket output ON .

2.Continuously press the power switch the LED light on,the Countdown mode and LED light on will cycle change from 1HR,2HR,4HR,6HR,8HR,10HR.

3.Choose you need countdown time mode,the mode LED will lighto on,start countdown until countdown time finish,the control output and USB change to OFF

4.Then the countdown is start,The Time indicate LED will from high to low auto change until Countdown finish off.

Failure analysis:

1.check whether the power supply connection is good

2.check whether the USB cable is loosen

Warning Note:

1.Use indoor and dry location ONLY

2.The load max does not exceed 15A 3600W

3.This product does not convert voltage please do not miss use DO NOT exceed the maximum loading of 3600 Watts 15A

4.Always have earth connection for safety reason

5.If in doubt please consult with a qualified electrician

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