Researchers in the Department of Electrical and Computer Engineering of the Faculty of Engineering and the Centre for Advanced Semiconductors and Integrated Circuits (CASIC) at the University of Hong Kong (HKU) have made a breakthrough in brain-inspired computing. In collaboration with Hewlett Packard Labs, the team has developed a memristor chip that overcomes a long-standing limit on the capacity of “associative memory,” the brain-like ability to recall complete information from a partial cue, while keeping it reliable even when a large fraction of the hardware fails.Researchers in the Department of Electrical and Computer Engineering of the Faculty of Engineering and the Centre for Advanced Semiconductors and Integrated Circuits (CASIC) at the University of Hong Kong (HKU) have made a breakthrough in brain-inspired computing. In collaboration with Hewlett Packard Labs, the team has developed a memristor chip that overcomes a long-standing limit on the capacity of “associative memory,” the brain-like ability to recall complete information from a partial cue, while keeping it reliable even when a large fraction of the hardware fails.Hardware[#item_full_content]
A research team led by principal researcher Sang-Chul Lee of the Division of Nanotechnology at DGIST has developed AI technology that automatically identifies and compensates for user groups whose recommendation performance deteriorates significantly after user data is deleted.A research team led by principal researcher Sang-Chul Lee of the Division of Nanotechnology at DGIST has developed AI technology that automatically identifies and compensates for user groups whose recommendation performance deteriorates significantly after user data is deleted.Machine learning & AI[#item_full_content]
A research group comprising Associate Professor Yoshihiro Nakata and Taisei Mogi from the Graduate School of Informatics and Engineering at The University of Electro-Communications (UEC), Japan, and Mari Saito of Sony Corporation has developed MOFU (MOrphing Fluffy Unit), a mobile robot capable of whole-body expansion and contraction. The group investigated how whole-body expansion-contraction affects perceived animacy, or the extent to which the robot is perceived as lifelike. In addition to expansion-contraction and locomotion, MOFU was designed with features including quiet operation and a soft, fluffy exterior. The study was published in PLOS ONE.A research group comprising Associate Professor Yoshihiro Nakata and Taisei Mogi from the Graduate School of Informatics and Engineering at The University of Electro-Communications (UEC), Japan, and Mari Saito of Sony Corporation has developed MOFU (MOrphing Fluffy Unit), a mobile robot capable of whole-body expansion and contraction. The group investigated how whole-body expansion-contraction affects perceived animacy, or the extent to which the robot is perceived as lifelike. In addition to expansion-contraction and locomotion, MOFU was designed with features including quiet operation and a soft, fluffy exterior. The study was published in PLOS ONE.[#item_full_content]
Hydrogen could help store renewable energy and power fuel cells, but storing it remains difficult because hydrogen gas has a low density under everyday conditions. Compressing it to high pressure or cooling it into a liquid requires substantial energy and specialized equipment. Solid materials that absorb or adsorb hydrogen offer an alternative, but finding materials that store enough hydrogen, release it under useful conditions, work quickly and survive repeated use remains a complex challenge.Hydrogen could help store renewable energy and power fuel cells, but storing it remains difficult because hydrogen gas has a low density under everyday conditions. Compressing it to high pressure or cooling it into a liquid requires substantial energy and specialized equipment. Solid materials that absorb or adsorb hydrogen offer an alternative, but finding materials that store enough hydrogen, release it under useful conditions, work quickly and survive repeated use remains a complex challenge.Energy & Green Tech[#item_full_content]
An editorial by Charles Branas and Bruce Levine proposes norms for the use of AI in science.An editorial by Charles Branas and Bruce Levine proposes norms for the use of AI in science.Machine learning & AI[#item_full_content]
Mistral announced Tuesday that it had raised three billion euros ($3.5 billion) in what it described as the largest-ever European tech fundraising, valuing the French AI firm at more than 21 billion euros.Mistral announced Tuesday that it had raised three billion euros ($3.5 billion) in what it described as the largest-ever European tech fundraising, valuing the French AI firm at more than 21 billion euros.Machine learning & AI[#item_full_content]
Reconstructing a three-dimensional object or environment from multiple photographs is a central problem in computer vision. The resulting models support applications such as robotics, augmented and virtual reality, digital twins, and cultural heritage preservation. An effective reconstruction system must represent both the visual appearance of a scene and the geometry of its surfaces. Achieving these goals simultaneously, however, remains challenging.Reconstructing a three-dimensional object or environment from multiple photographs is a central problem in computer vision. The resulting models support applications such as robotics, augmented and virtual reality, digital twins, and cultural heritage preservation. An effective reconstruction system must represent both the visual appearance of a scene and the geometry of its surfaces. Achieving these goals simultaneously, however, remains challenging.Computer Sciences[#item_full_content]
Reconstructing a three-dimensional object or environment from multiple photographs is a central problem in computer vision. The resulting models support applications such as robotics, augmented and virtual reality, digital twins, and cultural heritage preservation. An effective reconstruction system must represent both the visual appearance of a scene and the geometry of its surfaces. Achieving these goals simultaneously, however, remains challenging.Reconstructing a three-dimensional object or environment from multiple photographs is a central problem in computer vision. The resulting models support applications such as robotics, augmented and virtual reality, digital twins, and cultural heritage preservation. An effective reconstruction system must represent both the visual appearance of a scene and the geometry of its surfaces. Achieving these goals simultaneously, however, remains challenging.[#item_full_content]
A research team led by Sung Wook Baik, a professor in the Department of Software at Sejong University, has published a comprehensive survey examining annotation errors in widely used object detection datasets and methods for identifying and validating them.A research team led by Sung Wook Baik, a professor in the Department of Software at Sejong University, has published a comprehensive survey examining annotation errors in widely used object detection datasets and methods for identifying and validating them.Computer Sciences[#item_full_content]
A research team led by Sung Wook Baik, a professor in the Department of Software at Sejong University, has published a comprehensive survey examining annotation errors in widely used object detection datasets and methods for identifying and validating them.A research team led by Sung Wook Baik, a professor in the Department of Software at Sejong University, has published a comprehensive survey examining annotation errors in widely used object detection datasets and methods for identifying and validating them.[#item_full_content]
