Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
MIT and York University Study Visual Learning in the Brain Using Neural Networks
Researchers at MIT’s McGovern Institute for Brain Research and York University in Toronto have investigated how visual learning occurs in the brain. By analyzing neural activity and utilizing computational modeling, they compared the learning processes of animals and an artificial neural network designed to mimic brain architecture. Their findings, published on July 8 in Nature Communications, reveal that changes in visual processing are crucial for learning to discriminate new objects. This research is significant as it enhances our understanding of the brain's adaptability and the mechanisms behind visual learning. The study suggests that while the overall activity patterns in the inferior temporal cortex remain stable, subtle changes occur in response to learned object recognition. These insights could inform educational strategies and improve learning outcomes across various contexts. Looking ahead, the researchers aim to further explore how these modest changes in neural activity contribute to learning. They believe that artificial neural networks can provide valuable insights into biological learning processes, potentially leading to new experimental approaches and predictions that extend beyond current understanding. No further timeline was disclosed at the time of publication.
Research Neuroscience Learning Brain and cognitive sciences Computer modeling Vision
Fusion to quantum: 9 projects lined up for US’ new Discovery supercomputer
America's next major exascale supercomputer, named Discovery, is set to tackle its inaugural scientific challenges. This advanced computing system, which represents a significant leap in processing power, is designed to handle complex simulations and data analysis that were previously unattainable. Scheduled to begin operations in the coming months, Discovery will be located at Oak Ridge National Laboratory in Tennessee. The motivation behind developing such a powerful supercomputer stems from the need for enhanced computational capabilities to address pressing scientific questions and accelerate research across various fields, including climate modeling, drug discovery, and materials science. By leveraging its unprecedented speed and efficiency, researchers aim to gain deeper insights and make breakthroughs that could have far-reaching implications for both science and society. The operationalization of Discovery involves collaboration among leading scientists and engineers who will utilize its capabilities to run extensive simulations and analyze large datasets. This initiative not only underscores America's commitment to maintaining leadership in high-performance computing but also highlights the growing importance of advanced technology in solving some of the world's most complex challenges.
AI and Robotics
Quantum simulations that once needed supercomputers now run on laptops
Researchers at the University at Buffalo have developed a groundbreaking method that allows for the simulation of complex quantum systems without the need for supercomputers. By enhancing the truncated Wigner approximation, the team has created a more accessible and efficient approach to modeling quantum behavior, translating intricate equations into a format that can be executed on standard computers. This innovation could significantly change the landscape of quantum physics, enabling physicists to explore quantum phenomena more effectively and broaden their research capabilities.
At ISC, JUPITER Shows What Exascale Science Looks Like
Europe's first exascale supercomputer, JUPITER, located at Germany's Forschungszentrum Jülich, has made significant strides over the past year. Powered by NVIDIA Grace Hopper Superchips and utilizing NVIDIA Quantum-X800 InfiniBand networking, JUPITER is positioned at the forefront of high-performance computing. This advanced system is designed to tackle complex scientific challenges and enhance research capabilities across various fields. The supercomputer's development reflects a growing commitment within the international supercomputing community to push the boundaries of technology and innovation. As it continues to operate and evolve, JUPITER aims to facilitate breakthroughs in areas such as climate modeling, artificial intelligence, and medical research, underscoring the vital role of supercomputing in addressing pressing global issues.
Robot Talk Episode 140 – Robot balance and agility, with Amir Patel
Amir Patel, an Associate Professor of Robotics and AI at University College London, discussed his innovative research focused on developing robots that mimic the agility and maneuverability of cheetahs. During a recent conversation, Patel explained how his work integrates advanced robotics techniques, including sensor fusion, computer vision, mechanical modeling, and optimal control. This research aims to enhance robotic performance in dynamic environments, potentially revolutionizing applications in various fields such as search and rescue, exploration, and surveillance. By studying the natural movements of cheetahs, Patel and his team are striving to create robots that can navigate complex terrains with unprecedented efficiency and speed.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
