Georgia Tech researchers are using AI to quickly train exoskeleton devices, making it much more practical to develop, improve, and ultimately deploy wearable robots for people with impaired mobility.Georgia Tech researchers are using AI to quickly train exoskeleton devices, making it much more practical to develop, improve, and ultimately deploy wearable robots for people with impaired mobility.Robotics[#item_full_content]
Georgia Tech researchers are using AI to quickly train exoskeleton devices, making it much more practical to develop, improve, and ultimately deploy wearable robots for people with impaired mobility.Georgia Tech researchers are using AI to quickly train exoskeleton devices, making it much more practical to develop, improve, and ultimately deploy wearable robots for people with impaired mobility.[#item_full_content]
Virtual keyboards are a frequent source of frustration for augmented reality (AR) users. The virtual surfaces are slow and error prone, and raising an arm to type on them can cause muscle strain known as “gorilla arm.”Virtual keyboards are a frequent source of frustration for augmented reality (AR) users. The virtual surfaces are slow and error prone, and raising an arm to type on them can cause muscle strain known as “gorilla arm.”Hi Tech & Innovation[#item_full_content]
Microrobots—tiny robots less than a millimeter in size—are useful in a variety of applications that require tasks to be completed at scales far too small for other tools, such as targeted drug-delivery or micro-manufacturing. However, the researchers and engineers designing these robots have run into some limitations when it comes to navigation. A new study, published in Nature, details a novel solution to these limitations—and the results are promising.Microrobots—tiny robots less than a millimeter in size—are useful in a variety of applications that require tasks to be completed at scales far too small for other tools, such as targeted drug-delivery or micro-manufacturing. However, the researchers and engineers designing these robots have run into some limitations when it comes to navigation. A new study, published in Nature, details a novel solution to these limitations—and the results are promising.[#item_full_content]
Computer-aided design (CAD) is the go-to method for designing most of today’s physical products. Engineers use CAD to turn 2D sketches into 3D models that they can then test and refine before sending a final version to a production line. But the software is notoriously complicated to learn, with thousands of commands to choose from. To be truly proficient in the software takes a huge amount of time and practice.Computer-aided design (CAD) is the go-to method for designing most of today’s physical products. Engineers use CAD to turn 2D sketches into 3D models that they can then test and refine before sending a final version to a production line. But the software is notoriously complicated to learn, with thousands of commands to choose from. To be truly proficient in the software takes a huge amount of time and practice.Software[#item_full_content]
The global investment frenzy around AI has seen companies valued at trillions of dollars and eye-watering projections of how it will boost economic productivity.The global investment frenzy around AI has seen companies valued at trillions of dollars and eye-watering projections of how it will boost economic productivity.Business[#item_full_content]
Imagine a world in which a humanoid robot cares for you when you need help and support with daily activities.Imagine a world in which a humanoid robot cares for you when you need help and support with daily activities.Robotics[#item_full_content]
A new mega data center is slated to rise in a rural stretch of eastern Germany in what backers hope is a starting point for a European AI sector that can compete with the United States and China.A new mega data center is slated to rise in a rural stretch of eastern Germany in what backers hope is a starting point for a European AI sector that can compete with the United States and China.Hardware[#item_full_content]
Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled scans from other centers, each with different settings, patient mixes and imaging artifacts. That jumble makes a hard task—medical image segmentation—even harder still. Models trained under neat assumptions can stumble when deployed elsewhere, particularly on small, faint or low-contrast targets.Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled scans from other centers, each with different settings, patient mixes and imaging artifacts. That jumble makes a hard task—medical image segmentation—even harder still. Models trained under neat assumptions can stumble when deployed elsewhere, particularly on small, faint or low-contrast targets.[#item_full_content]
Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled scans from other centers, each with different settings, patient mixes and imaging artifacts. That jumble makes a hard task—medical image segmentation—even harder still. Models trained under neat assumptions can stumble when deployed elsewhere, particularly on small, faint or low-contrast targets.Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled scans from other centers, each with different settings, patient mixes and imaging artifacts. That jumble makes a hard task—medical image segmentation—even harder still. Models trained under neat assumptions can stumble when deployed elsewhere, particularly on small, faint or low-contrast targets.Computer Sciences[#item_full_content]
