scholarly journals “Research Unit on Extremely Energy-Efficient processor,” Institute of Advanced Sciences/“Yoshikawa & Yamanashi Laboratory,” Graduate School of Engineering Science, Yokohama National University

Author(s):  
Nobuyuki YOSHIKAWA

Nature ◽  
2007 ◽  
Vol 447 (7142) ◽  
pp. 350-350
Author(s):  
Magdalena Wutte


1991 ◽  
Vol 21 (1) ◽  
pp. 245-254
Author(s):  
A. S. Henderson

In 1974, the National Health and Medical Research Council (NH & MRC) in Australia reviewed what initiatives might be undertaken to promote medical research relevant to the needs of the population. It noted that Australia had contributed with distinction in some areas, such as the neurosciences and immunology, whereas fields such as epidemiology and psychiatry were much less developed scientifically. As the principal source of funding for medical research, the NH & MRC had hitherto supported projects, individuals and a small number of institutions (e.g. the Walter and Eliza Hall, the Florey and the Baker Institutes). The initiative adopted in 1974, as an additional commitment, was to establish some research units in areas of major relevance for public health. These were intended to become centres of excellence in fields where more expertise was needed at a national level.



Impact ◽  
2020 ◽  
Vol 2020 (2) ◽  
pp. 15-17
Author(s):  
Kensuke Harada

We perform many seemingly simple tasks in our daily lives, from manipulating everyday objects to processing many thoughts, often at the same time. These are things most of us are able to manage without any great difficulties. However, the development of such skills has actually been built on an enormous amount of knowledge that has been stored unconsciously throughout our lives. These skills become second nature to us, but when it comes to trying to replicate these in mechanical objects – robots – it becomes clear that the development of these abilities is not simple at all. Professor Kensuke Harada, from the Graduate School of Engineering Science, at Osaka University, is focused on looking at the issues of motion planning, gripper design, human motion and machine learning. His ultimate goal is to realise a robot that can manipulate an object just like a human can.



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