Jeff Budd and Bobbi Jordan with the Greater Sitka Arts Council are inviting designers to participate in the Sitka Wearable ...

Mātauranga tuku iho and whānau connections were the catalysts for an award-winning wearable art piece. ‘Te Ao Mārama,’ ...

AG is getting artistic in its latest collection. The Los Angeles-based denim brand on Thursday will launch The Art Project, a collection that is designed to transform apparel into wearable art. More ...

Wearable art will be on display at Turtle Ridge Gallery, 11736 Mink River Road in Ellison Bay, during a two-day Wearable ...

The annual Ōmokoroa Artists Art Expo will be held again at the newly renovated Settlers Hall in Ōmokoroa at Labour weekend. On display will be Carol Hebberd’s wearable arts submission on ...

Global fashion designers and local artists alike are descending on the capital as this year's World of Wearable Art kicks off. The show's been running for more than 35 years, displaying creativity ...

Developing edge-computing and AI capabilities from wearable sensors enhances their intelligence, critical for the AI of Things, and reduces power consumption by minimizing data exchange between ...

Julie Yost wears her art on her sleeve. A textile artist who sews intricate and beautiful garments sometimes using recycled and untraditional materials, Yost is also known for using different ...

Her storefront, 16th Cross Pearson Wearable Art Gallery, the first Black-owned, wearable art gallery in Alabama opened in July and showcases work by local designers, artists and stylists.

But the space is set to get even more active, with a new wave of neurotech: wearable devices targeting the brain. The neurotechnology category tends to be associated with brain implants.

These are amazing!” a customer called out to senior Christina Oates as they browsed her booth. A couple booths away, junior Macy Iyer was selling her ceramics so fast that she only had one piece left ...

In an attempt to improve job sites, researchers have designed a system of wearable sensors that rely on machine learning to monitor workers for signs of physical strain and tiredness. In doing so ...