AI tech learning to learn in Xi’an
match man by 2029’。
As artificial intelligence is no longer a wild figment of the
imagination or the stuff of science fiction, research into AI is
becoming increasingly appealing to scientists.
For Zheng Nanning, director of the Institute of Artificial Intelligence
and Robotics at Xi’an Jiaotong University, AI is the study of how to
make machines “think” and act like human beings.
也引入您看一下，因为预感者是 “US National Academy of Engineering”
选中对21世纪爱惜科学技术有影响力的18私人商品房之一，那之中也席卷google创办人：LarryPage 和 基因工程的开路先锋：Dr Craig Venter。
One of the primary frontiers of research in the field is how to develop
AI that is able to process non-complete information, said Zheng, who is
also an academician at the Chinese Academy of Engineering.
“‘Robustness’ refers to the AI’s adaptability to users’ errors, target
deviation, error model and even non-modeling objects,” he said.
‘to match man by 2029’
Zheng, also a former president of Xi’an Jiaotong University from 2003 to
2014, started to establish the AI discipline in the school in 1985 after
completing his studies in Japan.
Machines will achieve human-level
artificial intelligence by 2029, a leading US inventor has predicted.
AI tech learning to learn in Xi’an
Humanity is on the brink of advances that will see tiny robots implanted
in people’s brains to make them more intelligent, said Ray Kurzweil.
“I went to Japan in 1981, when there was an upsurge in the development
of artificial intelligence,” Zheng recalled. “I was impressed by the
progress in computer science and its widespread use in social life in
The engineer believes machines and humans will eventually merge through
devices implanted in the body to boost intelligence and health.
After he returned to his homeland in 1985, China decided to develop AI
technology as a priority in its seventh Five-Year Plan (1986-90). Zheng
and Xuan Guorong, the first director of the institute, co-founded the
Institute of Artificial Intelligence and Robotics in 1986.
“It’s really part of our civilisation,” Mr Kurzweil explained.
As the central government prioritized the development of information and
computer science, Zheng’s institute has embraced many opportunities for
growth over the past 30 years – cognitive computing and computer vision.
“But that’s not going to be an alien invasion of intelligent machines to
In AI development, one of the major challenges facing scientists is how
to enable machines to learn without help from human teachers, Zheng
said. “Much of human learning is a logical reasoning process of
mastering something new based on their previous knowledge,” he said. “In
contrast, no current AI systems have such an ability.”
Machines were already doing hundreds of things humans used to do, at
human levels of intelligence or better, in many different areas, he
Every time an AI machine learns a new skill, it basically has to learn
from the very beginning, which requires the participation of human
beings to a large extent, he explained.
Man versus machine
“To achieve human intelligence, the machine needs to have the ability to
learn without human supervision and instruction, using previous
knowledge to make richer inferences from a very small amount of training
“I’ve made the case that we will have both the hardware and the software
to achieve human level artificial intelligence with the broad suppleness
of human intelligence including our emotional intelligence by 2029,” he
Another challenge is to make machines perceive and understand the world
as humans do, the senior scientist said.
We’ll have intelligent nanobots go into our brains… to make us
“Perception is a key part of intelligence,” he said. “If machines can be
made to perceive and understand the world as humans do, it will prove
that the chronic problems of planning and reasoning in AI research can
“While we are good at data collection and algorithm research and
development, and it is no longer an obstacle in AI development to use
machines to analyze collected data, such reasoning capabilities are
relied on data, which indicates that there’s still a long way to go
before AI can perceive the real world,” Zheng said.
“We’re already a human machine civilisation; we use our technology to
expand our physical and mental horizons and this will be a further
extension of that.”
It is a tough task to make machines understand and depict natural
behavior, he noted.
Humans and machines would eventually merge, by means of devices embedded
in people’s bodies to keep them healthy and improve their intelligence,
predicted Mr Kurzweil.
AlphaGo, a Google-developed AI system, defeated Lee Se-dol, a South
Korean professional Go player, in a series of games that hit headlines
worldwide in March.
“We’ll have intelligent nanobots go into our brains through the
capillaries and interact directly with our biological neurons,” he told
It is difficult to anticipate the most advantageous positions to move in
the complicated Go games, yet it is much easier than capturing an
accurate depiction of the sophisticated world, Zheng said/t will take
decades or even longer to close the gap of such understanding between
machines and human beings.”
The nanobots, he said, would “make us smarter, remember things better
and automatically go into full emergent virtual reality environments
through the nervous system”.
The toughest challenge in realizing human-like intelligence is to enable
machines to have self-awareness, emotions and the ability to reflect on
their own situation and behaviors, Zheng said.
Mr Kurzweil is one of 18 influential thinkers chosen to identify the
great technological challenges facing humanity in the 21st century by
the US National Academy of Engineering.
But human beings also stand to benefit from development of AI
technology. “Human cerebral cortex capacity is limited in physics,” he
said. “If intelligent machines can be linked to human brains, it will
not only enhance human capacity, but also allow machines to be
The experts include google founder Larry Page and genome pioneer Dr
It is a fascinating exploration into seeking self-awareness, emotions
and reflective ability in machines, to scientists and philosophers
alike, Zheng said.
The 14 challenges were announced at the annual meeting of the American
Association for the Advancement of Science in Boston, which concludes on
However, AI research can be a “double-edged sword”, he noted.
“We need to ensure that increasingly powerful AI systems remain
completely under human control and watch out for AI’s negative impact on
human society and pay attention to the profound ethical issues brought
up by its development,” he said. “We need the AI that helps human beings
rather than taking their place.”
Jiaotong University experts build their vision for the future
When the new generation of medium carrier rocket named Long March VII
was launched on June 25 in Wenchang, Hainan province, a group of people
in Xi’an, Shaanxi province, shared in the celebration.
They are professors and experts working with the Institute of Artificial
Intelligence and Robotics at Xi’an Jiaotong University, who designed and
developed a visual measurement system, algorithm and software products
for the Ao Long I aerobat, the main load of the Long March VII rocket.
The institute will celebrate its 30th anniversary on Saturday.
The school was founded in 1986. Its predecessor was the computer control
teaching and research laboratory under the school’s automatic control
It was one of the earliest professional research institutions to carry
out research on artificial intelligence and robotics in China.
Xuan Guorong, the first director of the institute from 1986 to 1988,
made great contributions to the research and development of AI.
Jiaotong University experts build their vision for the future
The 5,500-square-meter institute is a support unit of the National
Engineering Laboratory for Visual Information Processing and Application
and the Cognitive Science and Engineering Center for international
In cooperation with globally-renowned scholars, the institute has made a
range of achievements. With an edge in the disciplines of pattern
recognition and intelligent systems, the school recruits more than 160
graduate students and post-doctoral assistants annually.
Under the leadership of Zheng Nanning, director of the institute and
also an academician of the Chinese Academy of Engineering, the institute
was among the first group of winners of funds from Foundation for
Innovative Research Groups of the National Natural Science Foundation of
China in 2000.
The institute focuses on the studies of visual signal statistical
characteristics, primary visual models, computer graphics and machine
vision information computing. Their work combines AI information
processing based on computer vision and pattern recognition with the
advanced developments of related sectors in the AI field.
It also specializes in the exploration and modeling of mathematical
mechanisms of intelligent systems, ultralarge scale integrated circuit
design for computing vision and images, intelligent control, recognition
systems and various image processing methods and techniques.
In the field of visual information processing, the institute has a
well-established and soundly-structured research team. They have
undertaken 51 national science and technology projects, 21 provincial
and ministerial level projects, 30 corporate commissioned projects and
two other important research projects.
The institute has filed more than 100 applications for invention
patents. Of them, 88 were granted, including three authorized abroad. It
has also obtained 29 software copyrights.
It has won a series of awards, including one second-place prize from the
National Awards for Technological Invention, two second-place prizes
from the National Science and Technology Progress Awards, and four
first-place prizes from provincial and ministerial level science and
Two of its researchers were winners of the Chinese Youth Awards for
Science and Technology.
(China Daily 09/23/2016 page16)