Unlike many existing smart garments, the shirt—dubbed SeamFit—doesn’t rely on bulky sensors or a tight, restrictive fit. The ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

Smart robot vacuums spend most of their time gathering dust—literally and figuratively. New research suggests these domestic ...

Digital twins are a rapidly advancing area in engineering, going beyond static models to continuously receive data from the ...

Priya Guruprakash Rao exemplifies excellence in User Experience leadership with over 15 years of transformative experience across digital product ecosystems. Her expertise covers the fields of both ...

Carnegie Mellon celebrates faculty, staff and graduate students for their exceptional contributions in education, teaching, advising, mentoring and service with its annual Celebration of Education ...

Wearable Devices Ltd. (the “Company” or “Wearable Devices”) (Nasdaq: WLDS, WLDSW), a technology growth company specializing ...

Essential for many industries ranging from Hollywood computer-generated imagery to product design, 3D modeling tools often ...

Researchers introduced a novel method for fabricating functional flat-to-shape objects using a computer-controlled sewing machine. The team's method uses the sewing machine to stitch pockets between ...

Neurotechnology will likely lead to a profound transformation in society. And yet, there are currently no rules or standards ...

A newly ongoing research initiative is exploring the potential of voice-based technologies to improve fraud detection in digital financial systems. The ...

"In the era of human data, language-based AI has largely focused on short interaction episodes ... same interface that humans use to operate a computer," they write. The browser agent marks ...