AIST welcomes applications for research scientist positions from worldwide. In pursuit of excellence in science and innnovation, we are seeking to recruit research scientists from basic research through to applied research to make impacts in our research areas. Please refer the list for Research and Development on Artificial Intelligence of job opportunities which are now open for recruitment. Deadline is 17:00(JST) May 10, 2019.
Third International Workshop on Symbolic-Neural Learning (SNL-2019) will be held on July 11-12 at National Museum of Emerging Science and Innovation (Miraikan). The workshop is focusing on research that fuses neural networks and symbolic structures such as languages. Keynote speakers will be invited from leading AI research organizations such as Facebook, UW/Allen Institute, and Google. Abstract submission for poster presentation will begin from the middle of April. On-line registration will be open in the middle of May.
Mitsubishi Electric Corporation and AIST announced that they have developed an AI technology that can reduce time for setting up factory-automation (FA) equipment. The new technology, which combines AIST's AI technologies and Mitsubishi Electric's FA technologies for highly effective application in the FA field, will be implemented in Mitsubishi Electric's products for greatly increased factory productivity. Please refer this page for further information.
NEC Corporation, in collaboration with AIST, announced the development of an AI technology, "Logical Thinking AI," that supports the stable operation of important social infrastructure, such as plant facilities. Since the technology automatically suggests an optimal recovery procedure in the case of an operating abnormality, even operators with limited experience can determine the most appropriate responses. This helps achieve early recovery from system abnormalities. Please refer this page for further information.
Sony Corporation announced that by utilizing its DL development framework "Core Library: Neural Network Libraries" in addition to the ABCI, a world-class computing infrastructure for AI processing constructed and operated by AIST, it has achieved the fastest DL speeds in the world. Please refer this page for further information.
The Geoinformation Science Research Team has created MUltiband Satellite Imagery for object Classification (MUSIC) for HotArea (HA) dataset. The HA is a system to automatically detect hotspots (e.g., fires and volcanoes) in the world in mid-resolution satellite data and displays the results on a web-based GIS system. Currently Hotarea utilizes Landsat 8 and Sentinel-2 data in global scale and in some selected regions, respectively.
The Geoinformation Science Research Team has created MUltiband Satellite Imagery for object Classification (MUSIC) to detect Golf Course (GC). There are more than 30,000 golf courses all over the world. They are good targets for research of automatic object detection due to their specific shape, world-wide distribution and common size. MUSIC for GC is the dataset to support the global survey of golf courses based on satellite imagery.
AI Bridging Cloud Infrastructure (ABCI) is the world's first large-scale Open AI Computing Infrastructure, constructed and operated by AIST. ABCI Cloud Service is open from August 2018. ABCI was placed at the 5th of a ranking list in the Top500's high-performance supercomputers, and the 8th of a ranking list in the Green500's energy-efficient supercomputers, June 2018.
Ryuhei Hamaguchi, Specialist for Specific Subject of The Geoinformation Science Research Team, won the first prize in the Building Detection Challenge Category of DeepGlobe Satellite Image Understanding Challenges on CVPR 2018.
NEC and AIST announced a new efficient search technology for the discovery of rare critical events. The technology repeats simulations while AI learns the simulation results. As a result, it efficiently discovers rare critical events that are difficult to discover at the product design stage due to the extremely low probability of their occurrence. Please refer this page for further information.