Developed by Spanish fashion brand Sepiia, the Ultimate Smart Shirt 3.0 is a special men’s clothing that can reduce the wearer’s stress, improve blood flow and increase energy levels.

Sepiia has been developing smart clothing for years now. Its first-generation clothing included astaining-resistant fabric (抗污织物) around the cuffs (袖口) and neck, thus requiring less frequent washing, while the second-generation introduced a more breathable fabric that prevented too much sweat, while also being smell-resistant. For its latest generation of smart clothing, Sepiia introduced the concept of health, by developing a fabric that has all the characteristics of previous generations, as well as new bioceramic nanoparticles (生物陶瓷纳米粒) that improve the wearer’s health.

According to Sepiia, the bioceramic nanoparticles are able to reproduce the FIR (Far Infrared Rays 远红外线)from the sun. The heat produced by these rays gets into the wearer’s skin and benefits the muscles, joints and blood vessels by promoting blood circulation.

The bioceramic material also absorbs harmful rays from the sun, thus protecting the wearer’s skin, and reflects the sun’s rays, creating a virtual heat barrier, keeping the wearer cool and comfortable.

“We started with clothes that were comfortable, and now our goal is for fashion to evolve towards personal health” Sepiia CEO, Federico Sainz, said.

Athletes are already using bioceramic nanoparticles in their sleepwear to improve their performance, but Sepiia wants to bring the same benefits to the general public, all through the day.

The Ultimate Smart Shirt 3.0 is already available for pre-order via Sepiia’s Kickstarter page, for a price of $98. If that seems expensive, just keep in mind that Sepiia’s smart shirt is a lot more serviceable than ordinary shirts, as well as stain-resistant, so you’ll be able to wear it for many years. Who knows, you may even end up saving money.

The world’s first 3D-printed steel footbridge, measuring 12 meters in length, has been installed in Amsterdam. The bridge, created by a Dutch company called MX3D, has been installed over the Oudezijds Achterburgwal canal.

More than four years in the making, the S-shaped bridge will act as a “living laboratory” in the Dutch capital as it handles pedestrian traffic.

Researchers at Imperial College London are assessing the “performance” of the bridge, which is packed with sensors, as it’s being walked on.

Data collected from the sensors will enable experts to monitor how it changes over its lifespan, such as if the steel yields (变形;弯曲) due to football, and measure how the public interacts with the bridge, such as how many people are using it.

“A 3D-printed metal structure large and strong enough to handle pedestrian traffic has never been constructed before,” said Leroy Gardner of the Department of Civil and Environmental Engineering. “We have tested and stimulated the structure and its components throughout the printing process and upon its completion, and it’s fantastic to see it finally open to the public.”

Sensor data will also be put into a “digital twin” of the bridge—a computerized version that imitates the real-life physical version. Performance of the physical bridge will be tested against the twin, which will help answer questions about the adequacy (妥善性) of 3D- printed steel and inform future construction projects.

According to MX3D, the bridge is more than just a functional object for the public, but an art, installation and a celebration of technology.

“3D printing presents tremendous opportunities to the construction industry, enabling far greater freedom in terms of material properties and shapes,” said Gardener. “This freedom also brings a range of challenges and will require structural engineers to think in new ways.”

Researchers have created a noninvasive (无创的) brain decoder that can translate stories heard by participants into a string of text, based on their MRI scans. The team says this technology could one day aid communication in people who are mentally conscious but physically unable to speak, such as stroke patients.

“Compared to what’s been done before using the same noninvasive method, which typically deals with single words or short sentences, this new technology is a real leap forward,” Alex Huth, a professor of neuroscience and computer science at the University of Texas at Austin, says in a statement. “We’re getting the model to decode continuous language for extended periods of time with complicated ideas.”

Huth and his colleagues collected hours of data from three participants listening to the podcasts “Modern Love” and “The Moth Radio Hour” while connected to a functional MRI (fMRI) scanner, which recorded the participants’ blood oxygen levels in parts of their brains. This data was used to train an A. I. model to match specific brain activity patterns with strings of words, the team reports in a new study published Monday in Nature Neuroscience. The decoder used GPT-1, an earlier version of the technology that powers ChatGPT.

When the participants listened to new stories, the tool couldn’t spit back the exact words, but it could convey the main idea. For example, a participant hearing “I don’t have my driver’s license yet” had their thoughts translated to: “She has not even started to learn to drive yet.” The researchers also had participants watch muted animated short films. Though the model was trained only on spoken words, it could still generate a language description of what was happening.

Reading minds raises a multitude of ethical questions about brain privacy, but the researchers say their tool doesn’t work without willing cooperation. “This is all about the user having a new way of communicating, a new tool that is totally in their control,” David Moses, a researcher of automatic speech recognition at the University of California, San Francisco, who was not involved in the study, said. “That is the goal, and we have to make sure that stays the goal.”