North Carolina State University researchers have developed a technique that reduces training time for deep learning networks by more than 60 percent without sacrificing accuracy, acceleratin... Read more
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- Better non-invasive diagnostics and treatments for brain diseases using the science of sound
- Future cell phones could detect viruses with a powerful nanoscale flashlight on a chip
- Concrete printing can drastically reduce raw material consumption and greatly increase construction speed of housing
- A new brain-like computing device is capable of learning by association using synaptic transistors
- Chronic wounds in preclinical models healed with normal scar-free skin after treatment with a new acellular product
- Could vertical turbines be the future for wind power?
- A new algorithm interprets data from electronic medical records to reveal hidden kidney disease
- Flexible energy converters could be just the thing to power wearable devices
- Fully recyclable printed electronics
- Making pig farming more environmentally friendly by seeing value in sewage
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Exterior of first 3D printed concrete house of Project Milestone
Stanford Researchers Use Ankle Exoskeleton to Increase Walking Speed
Stanford researchers locate sources of pollution in Bangladesh
New hydrogel can repair tears in human tissue
Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots
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