To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
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The FabObscura system helps users design and print barrier-grid animations without electronics, and can help produce dynamic household, workplace, and artistic objects.
You can adjust the frequency range of this durable, inexpensive antenna by squeezing or stretching its structure.
A team of international researchers led by EPFL developed a multilingual benchmark to determine Large Language Models ability to grasp cultural context.
The concept, cool yet maybe a little creepy, is known as mind uploading.
4 minutes read
EPFL researchers have developed the first AI model of language in the brain that captures both how neurons are arranged and how they function.
3 minutes read
With help from recent gifts, the Stanford Wearable Electronics Initiative eWEAR-X is supercharging its efforts to transform researchers inspiration into reality by augmenting the Ideation and Prototyping Lab and providing seed funding for members of the university community.
4 minutes read
“InteRecon” enables users to capture items in a mobile app and reconstruct their interactive features in mixed reality. The tool could assist in education, medical environments, museums, and more.
The system uses reconfigurable electromechanical building blocks to create structural electronics.
Imagine a world where devices respond instantly to your voice commands without relying on cloud processing—that's now possible with keyword spotting. Read more to discover how it is revolutionizing voice-enabled technology.
4 minutes read
Columbia AI Summit keynote speaker Sami Haddadin discusses AI that interacts with the physical world—and what it could mean for human potential.
4 minutes read
New research uses AI to improve training of sensorimotor skills in human subjects, with potential applications ranging from performing surgery to perfecting tennis serves.
2 minutes read
For this article we interviewed Niwa and Omura, who are responsible for the design, development, and operation of the system, as well as Toda, who requested its development and is also a user.
9 minutes read
A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.
Liu and team receive NSF EFRI grant for biocomputing research
