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]

Tubificine worms are segmented worms that are capable of forming entangled blobs that behave as a single organism to adapt to extreme environmental conditions or migrate more efficiently. Individual worms are capable of elongating, entwining an uneven area of terrain and dragging the collective worm ball through a narrow passageway in laboratory experiments.Tubificine worms are segmented worms that are capable of forming entangled blobs that behave as a single organism to adapt to extreme environmental conditions or migrate more efficiently. Individual worms are capable of elongating, entwining an uneven area of terrain and dragging the collective worm ball through a narrow passageway in laboratory experiments.[#item_full_content]

Unmanned aerial vehicles (UAVs), commonly known as drones, are already used in countless settings to tackle real-world problems. These flying robotic systems can, among other things, help to monitor natural environments, detect fires or other environmental hazards, monitor cities and find survivors of natural disasters.Unmanned aerial vehicles (UAVs), commonly known as drones, are already used in countless settings to tackle real-world problems. These flying robotic systems can, among other things, help to monitor natural environments, detect fires or other environmental hazards, monitor cities and find survivors of natural disasters.[#item_full_content]

Unmanned aerial vehicles (UAVs), commonly known as drones, are already used in countless settings to tackle real-world problems. These flying robotic systems can, among other things, help to monitor natural environments, detect fires or other environmental hazards, monitor cities and find survivors of natural disasters.Unmanned aerial vehicles (UAVs), commonly known as drones, are already used in countless settings to tackle real-world problems. These flying robotic systems can, among other things, help to monitor natural environments, detect fires or other environmental hazards, monitor cities and find survivors of natural disasters.[#item_full_content]

A robot moves a toy package of butter around a table in the Intelligent Robotics and Vision Lab at The University of Texas at Dallas. With every push, the robot is learning to recognize the object through a new system developed by a team of UT Dallas computer scientists.A robot moves a toy package of butter around a table in the Intelligent Robotics and Vision Lab at The University of Texas at Dallas. With every push, the robot is learning to recognize the object through a new system developed by a team of UT Dallas computer scientists.Robotics[#item_full_content]

Automated vehicles (AV) will need updates on driving conditions. Past studies envision roadside infrastructure transmitting such updates via beams of concentrated, millimeter radio waves. However, challenges remain, such as accurately determining the location of a rapidly moving AV so as to track it with a beam, and forming the optimum beam within a short time slot that will reliably transmit data at high rates and low latency.Automated vehicles (AV) will need updates on driving conditions. Past studies envision roadside infrastructure transmitting such updates via beams of concentrated, millimeter radio waves. However, challenges remain, such as accurately determining the location of a rapidly moving AV so as to track it with a beam, and forming the optimum beam within a short time slot that will reliably transmit data at high rates and low latency.Automotive[#item_full_content]

A main crux of neuroscience is learning how our senses translate light into sight, sound into hearing, food into taste, and texture into touch. Smell is where these sensory relationships get more complex and perplexing.A main crux of neuroscience is learning how our senses translate light into sight, sound into hearing, food into taste, and texture into touch. Smell is where these sensory relationships get more complex and perplexing.Machine learning & AI[#item_full_content]

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