Quantitative Phase Imaging (QPI) is a label-free imaging technique that leverages the optical path length information in transparent samples to evaluate their refractive index distribution and thickness variations. Multispectral QPI systems extend this principle, capturing multiple phase images across various spectral bands of interest. This functionality enables the study of spatial refractive index variations and dispersion characteristics of transparent samples such as cells.Quantitative Phase Imaging (QPI) is a label-free imaging technique that leverages the optical path length information in transparent samples to evaluate their refractive index distribution and thickness variations. Multispectral QPI systems extend this principle, capturing multiple phase images across various spectral bands of interest. This functionality enables the study of spatial refractive index variations and dispersion characteristics of transparent samples such as cells.Engineering[#item_full_content]

Robots made of metal and other solid materials are already widely used in industry. But they are too rigid and cumbersome for fine-motor activities and interaction with people, such as in nursing or medicine. Intensive research is therefore already being carried out into robots made of soft materials: inspiration from nature, such as jellyfish, earthworms, fish or the human body should enable “soft robots” that can move flexibly and adapt to their environment.Robots made of metal and other solid materials are already widely used in industry. But they are too rigid and cumbersome for fine-motor activities and interaction with people, such as in nursing or medicine. Intensive research is therefore already being carried out into robots made of soft materials: inspiration from nature, such as jellyfish, earthworms, fish or the human body should enable “soft robots” that can move flexibly and adapt to their environment.[#item_full_content]

Evolutionary robotics is a sub-field of robotics aimed at developing artificial “organisms” that can improve their capabilities and body configuration in response to their surroundings, just as humans and animals evolve, adapting their skills and appearance over time. A growing number of roboticists have been trying to develop these evolvable robotic systems, leveraging recent artificial intelligence (AI) advances.Evolutionary robotics is a sub-field of robotics aimed at developing artificial “organisms” that can improve their capabilities and body configuration in response to their surroundings, just as humans and animals evolve, adapting their skills and appearance over time. A growing number of roboticists have been trying to develop these evolvable robotic systems, leveraging recent artificial intelligence (AI) advances.[#item_full_content]

To assist humans during their day-to-day activities and successfully complete domestic chores, robots should be able to effectively manipulate the objects we use every day, including utensils and cleaning equipment. Some objects, however, are difficult to grasp and handle for robotic hands, due to their shape, flexibility, or other characteristics.To assist humans during their day-to-day activities and successfully complete domestic chores, robots should be able to effectively manipulate the objects we use every day, including utensils and cleaning equipment. Some objects, however, are difficult to grasp and handle for robotic hands, due to their shape, flexibility, or other characteristics.[#item_full_content]

To assist humans during their day-to-day activities and successfully complete domestic chores, robots should be able to effectively manipulate the objects we use every day, including utensils and cleaning equipment. Some objects, however, are difficult to grasp and handle for robotic hands, due to their shape, flexibility, or other characteristics.To assist humans during their day-to-day activities and successfully complete domestic chores, robots should be able to effectively manipulate the objects we use every day, including utensils and cleaning equipment. Some objects, however, are difficult to grasp and handle for robotic hands, due to their shape, flexibility, or other characteristics.[#item_full_content]

Robots based on soft materials are often better at replicating the appearance, movements and abilities of both humans and animals. While there are now countless soft robots, many of these are difficult to produce on a large-scale, due to the high cost of their components or their complex fabrication process.Robots based on soft materials are often better at replicating the appearance, movements and abilities of both humans and animals. While there are now countless soft robots, many of these are difficult to produce on a large-scale, due to the high cost of their components or their complex fabrication process.[#item_full_content]

When Todd Howard, director and executive producer of Bethesda Game Studios, announced in June that the team’s upcoming, highly anticipated game, “Starfield,” would feature a galaxy of more than 1,000 planets, fans were beyond excited.When Todd Howard, director and executive producer of Bethesda Game Studios, announced in June that the team’s upcoming, highly anticipated game, “Starfield,” would feature a galaxy of more than 1,000 planets, fans were beyond excited.[#item_full_content]

A small team of mechanical engineers at Carnegie Mellon University, working with a colleague from the University of Illinois Urbana-Champaign, has designed and built what they describe as the simplest walking robot ever. They have written a paper describing the ideas they used to build the robot and the factors that have led to its simplicity and have posted it on the arXiv preprint server.A small team of mechanical engineers at Carnegie Mellon University, working with a colleague from the University of Illinois Urbana-Champaign, has designed and built what they describe as the simplest walking robot ever. They have written a paper describing the ideas they used to build the robot and the factors that have led to its simplicity and have posted it on the arXiv preprint server.[#item_full_content]

Catastrophic forgetting, an innate issue with backpropagation learning algorithms, is a challenging problem in artificial and spiking neural network (ANN and SNN) research.Catastrophic forgetting, an innate issue with backpropagation learning algorithms, is a challenging problem in artificial and spiking neural network (ANN and SNN) research.Machine learning & AI[#item_full_content]

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