#learningwithoutboundaries.
Prof. Mitch LI’s team from the Division of Integrative Systems and Design (ISD) was cordially invited to be the guest speaker of “Members’ Day: Sci-Fi or not?”, organized by Hong Kong Science Museum on Mar 28, 2024 to showcase the innovative 3D food printing technology.
Shanghai’s robotics revolution is here! At a cutting-edge startup, humanoid robots are being trained to navigate the real world-learning tasks from sorting objects to taking coffee. But how does Al collect and refine the data that powers these machines? We got access to a 2,000-square-meter data factory, where robots are trained through motion capture, human guidance, and real-world simulations. With China’s tech and supply chain advantages, could these humanoids become part of our daily lives sooner than we think? #HumanoidRobots #Al #FutureTech.
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Posted in biological, finance, food, particle physics | Leave a Comment on Study finds soccer teams move as though they are a single person, offering new insights into collective behavior
What do albatrosses searching for food, stock market fluctuations, and the dispersal patterns of seeds in the wind have in common?
They all exhibit a type of movement pattern called Lévy walk, which is characterized by a flurry of short, localized movements interspersed with occasional, long leaps. For living organisms, this is an optimal strategy for balancing the exploitation of nearby resources with the exploration of new opportunities when the distribution of resources is sparse and unknown.
Originally described in the context of particles drifting through liquid, Lévy walk has been found to accurately describe a very wide range of phenomena, from cold atom dynamics to swarming bacteria. And now, a study published in Complexity has for the first time found Lévy walk in the movements of competing groups of organisms: soccer teams.
A team of international scientists co-led by Nanyang Technological University, Singapore (NTU Singapore) have discovered a way to manipulate water waves, allowing them to trap and precisely move floating objects—almost as if an invisible force were guiding them.
The method involves generating and merging water waves to create complex surface patterns, such as twisting loops and swirling vortices.
Laboratory experiments showed that these patterns can pull in nearby floating objects, like small foam balls the size of rice grains, and trap them within the patterns.
Oxygen is essential for life and a reactive player in many chemical processes. Accordingly, methods that accurately measure oxygen are relevant for numerous industrial and medical applications: They analyze exhaust gases from combustion processes, enable the oxygen-free processing of food and medicines, monitor the oxygen content of the air we breathe or the oxygen saturation in blood.
Oxygen analysis is also playing an increasingly important role in environmental monitoring.
“However, such measurements usually require bulky, power-hungry, and expensive devices that are hardly suitable for mobile applications or continuous outdoor use,” says Máté Bezdek, Professor of Functional Coordination Chemistry at ETH Zurich. His group uses molecular design methods to find new sensors for environmental gases.
Farming arose on multiple continents among populations with radically different cultures and environments and with no means of communicating with each other – how did it crop up independently at about the same time?
A team of environmental researchers, Earth scientists and pollution specialists at Nanjing University, the Chinese Academy of Sciences and colleagues from Germany and the U.S. has found evidence that microplastics have a negative impact on photosynthesis in terrestrial, marine, and freshwater ecosystems.
In their study, published in the Proceedings of the National Academy of Sciences, the group conducted a meta-analysis of data from more than 150 studies involving the impact of microplastics on plants.
Prior research has shown that microplastics have made their way to nearly every ecosystem on the planet, and now contaminate plants and animals, including humans. For this new study, the research team wondered if microplastics might have an unknown impact on plants living in the ocean, in fresh water or growing on land, and they conducted a study of prior research to find out.
Understanding how ecosystems respond to ubiquitous microplastic (MP) pollution is crucial for ensuring global food security. Here, we conduct a multiecosystem meta-analysis of 3,286 data points and reveal that MP exposure leads to a global reduction in photosynthesis of 7.05 to 12.12% in terrestrial plants, marine algae, and freshwater algae. These reductions align with those estimated by a constructed machine learning model using current MP pollution levels, showing that MP exposure reduces the chlorophyll content of photoautotrophs by 10.96 to 12.84%. Model estimates based on the identified MP-photosynthesis nexus indicate annual global losses of 4.11 to 13.52% (109.73 to 360.87 MT·y−1) for main crops and 0.31 to 7.24% (147.52 to 3415.11 MT C·y−1) for global aquatic net primary productivity induced by MPs. Under scenarios of efficient plastic mitigation, e.g.
Twenty years after the first publication that used the term microplastic, we review current understanding, refine definitions, and consider future prospects. Microplastics arise from multiple sources, including tires, textiles, cosmetics, paint, and the fragmentation of larger items. They are widely distributed throughout the natural environment, with evidence of harm at multiple levels of biological organization. They are pervasive in food and drink and have been detected throughout the human body, with emerging evidence of negative effects. Environmental contamination could double by 2040, and wide-scale harm has been predicted. Public concern is increasing, and diverse measures to address microplastic pollution are being considered in international negotiations.
Imagine a large city recovering from a devastating hurricane. Roads are flooded, the power is down, and local authorities are overwhelmed. Emergency responders are doing their best, but the chaos is massive.
AI-controlled drones survey the damage from above, while intelligent systems process satellite images and data from sensors on the ground and air to identify which neighborhoods are most vulnerable.
Meanwhile, AI-equipped robots are deployed to deliver food, water and medical supplies into areas that human responders can’t reach. Emergency teams, guided and coordinated by AI and the insights it produces, are able to prioritize their efforts, sending rescue squads where they’re needed most.
