Even networks long considered “untrainable” can learn effectively with a bit of a helping hand. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a brief period of alignment between neural networks, a method they call guidance, can dramatically improve the performance of architectures previously thought unsuitable for modern tasks.Even networks long considered “untrainable” can learn effectively with a bit of a helping hand. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a brief period of alignment between neural networks, a method they call guidance, can dramatically improve the performance of architectures previously thought unsuitable for modern tasks.[#item_full_content]

A University of Texas at Dallas researcher and his collaborators have developed an artificial intelligence (AI)-assisted tool that makes it possible for visually impaired computer programmers to create, edit and verify 3D models independently.A University of Texas at Dallas researcher and his collaborators have developed an artificial intelligence (AI)-assisted tool that makes it possible for visually impaired computer programmers to create, edit and verify 3D models independently.[#item_full_content]

Imagine having a continuum soft robotic arm bend around a bunch of grapes or broccoli, adjusting its grip in real time as it lifts the object. Unlike traditional rigid robots that generally aim to avoid contact with the environment as much as possible and stay far away from humans for safety reasons, this arm senses subtle forces, stretching and flexing in ways that mimic more of the compliance of a human hand. Its every motion is calculated to avoid excessive force while achieving the task efficiently.Imagine having a continuum soft robotic arm bend around a bunch of grapes or broccoli, adjusting its grip in real time as it lifts the object. Unlike traditional rigid robots that generally aim to avoid contact with the environment as much as possible and stay far away from humans for safety reasons, this arm senses subtle forces, stretching and flexing in ways that mimic more of the compliance of a human hand. Its every motion is calculated to avoid excessive force while achieving the task efficiently.[#item_full_content]

Imagine having a continuum soft robotic arm bend around a bunch of grapes or broccoli, adjusting its grip in real time as it lifts the object. Unlike traditional rigid robots that generally aim to avoid contact with the environment as much as possible and stay far away from humans for safety reasons, this arm senses subtle forces, stretching and flexing in ways that mimic more of the compliance of a human hand. Its every motion is calculated to avoid excessive force while achieving the task efficiently.Imagine having a continuum soft robotic arm bend around a bunch of grapes or broccoli, adjusting its grip in real time as it lifts the object. Unlike traditional rigid robots that generally aim to avoid contact with the environment as much as possible and stay far away from humans for safety reasons, this arm senses subtle forces, stretching and flexing in ways that mimic more of the compliance of a human hand. Its every motion is calculated to avoid excessive force while achieving the task efficiently.[#item_full_content]

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been developed by a RIKEN neuroscientist and his collaborator. In addition to shedding light on how the brain works, this development could help inspire new AI systems that learn in a brain-like way. The research is published in Nature Communications.A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been developed by a RIKEN neuroscientist and his collaborator. In addition to shedding light on how the brain works, this development could help inspire new AI systems that learn in a brain-like way. The research is published in Nature Communications.Machine learning & AI[#item_full_content]

Embodied artificial intelligence (AI) systems are robotic agents that rely on machine learning algorithms to sense their surroundings, plan their actions and execute them. A key aspect of these systems are visual perception modules, which allow them to analyze images captured by cameras and interpret them.Embodied artificial intelligence (AI) systems are robotic agents that rely on machine learning algorithms to sense their surroundings, plan their actions and execute them. A key aspect of these systems are visual perception modules, which allow them to analyze images captured by cameras and interpret them.[#item_full_content]

Embodied artificial intelligence (AI) systems are robotic agents that rely on machine learning algorithms to sense their surroundings, plan their actions and execute them. A key aspect of these systems are visual perception modules, which allow them to analyze images captured by cameras and interpret them.Embodied artificial intelligence (AI) systems are robotic agents that rely on machine learning algorithms to sense their surroundings, plan their actions and execute them. A key aspect of these systems are visual perception modules, which allow them to analyze images captured by cameras and interpret them.Robotics[#item_full_content]

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