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It looks more like a racing yacht than a cargo ship. But this new 100% wind-powered vessel will soon begin bringing goods from Europe to the U.S.and could make deliveries faster than conventional cargo ships. Vela, a French startup, pulled technology from the racing world to make the vessel run as fast as possible. Its a trimaran, meaning it has three hulls, which helps it cut through water efficiently. The wide, stable shape allows it to carry large sails. As in racing yachts, the mast is made from carbon fiber, and the sails are made of high-performance fabric designed for strength. The ship also uses navigation tech developed for racing to help route toward ideal wind conditions as it crosses the Atlantic. Were using the exact same tools to navigate our vessel, says Vela cofounder Michael Fernandez-Ferri. [Image: courtesy Vela] All of this isnt just a fancy gimmick, he says. Its really about bringing speed in operations, because speed is of the utmost importance. Vela is one of a small but growing number of startups working to make wind-powered cargo ships feasible. A wind-powered cargo ship from French company TOWT (TransOceanic Wind Transport) made its first cross-Atlantic delivery last fall, and a hybrid wind-diesel ship just made its first crossing in October. [Video: Austal] A workaround for bottlenecks at port Vela designed the ship to tackle one part of the global supply chain: companies making high-end goods, such as luxury cosmetics or pharmaceuticals, that are trying to find a way to decarbonize transportation. For these companies, air freight can be one of the largest parts of their carbon footprint. Shifting to sea transportationeven a regular, diesel-powered cargo shipwould help, but that hasnt been an option because most cargo ships are unreliable. Typical cargo ships have long delays at ports. Traditional container shipping has been evolving for bigger and bigger ships, to the extent that these ships are so big that they can only go to a few main harbors, Fernandez-Ferri says. “This is the bottleneck now of the shipping industry.” [Rendering: Nicolas Gagnon/Johan Ong/Guillaume Bick] The new sailing cargo vessel is much smaller than a container shiparound 220 feet long, versus as much as 1,300 feet for an ultra-large container ship. It carries only 600 European pallets, compared to hundreds of thousands on a large ship. But the small size means it can access less-crowded terminals at ports, avoiding long lines. It’s also much faster to load and unload than a container ship, which can take as long as a week to unload, depending on its size. The racing-inspired design helps Vela’s vessel cross the ocean at speeds similar to a standard ship. (Depending on the time of year, crossing from Europe to the U.S. could take 10 to 13 days, according to modeling based on wind patterns from the past decade; a regular cargo ship might take 9 or 10 days.) Because it saves time at ports and the total delivery time is shorter, it’s more reliable for customers. For freightwhich can run as much as $1 million in commercial value for a single palletit’s also safer, since cargo stays inside the ship until it’s transferred to secure storage. Deliveries from the U.S. back to France will also be possible on the ship. Right now, large container ships have to travel in a large loop through the Northern Atlantic, taking as long as two months to reach Francetoo long to be viable for many customers. Vela can make it to France in 12 days. The cost is less than air freight, and similar in cost to “less than container load” shipments by sea, or cargo that shares space in a shipping container rather than filling the whole box. A system to cut emissions by 99% On board, the ship is plastered in more than 2,500 square feet of solar panels that feed a battery. Two hydro generators also create electricity as the ship moves through the water. This helps power refrigeration for cargo like pharmaceuticals, along with other electricity used on the ship. The ship’s propulsion runs almost entirely on wind, except for navigation inside ports. The system cuts emissions by 99% compared to air freight and 90% compared to container ships. [Rendering: Nicolas Gagnon/Johan Ong/Guillaume Bick] It’s also better for marine life because it doesn’t create noise as it sails. (The noise from cargo ships makes it hard for whales and other animals to communicate, and can even cause permanent hearing damage.) It doesn’t pollute water with ballast water or fuel, either. The body of the ship is made from aluminumlighter than a typical steel cargo ship, and easier to recycle at the end of a ship’s life. [Photo: courtesy Vela] The company’s first ship is currently under construction in the Philippines, at a shipyard that specializes in three-hulled aluminum vessels. Next spring, it will begin the trip to France. A yar from now, if all goes as planned, it will begin making its first deliveries for companies like Takeda Pharmaceuticals, medical device provider Echosens, and cosmetics company Greentech, among others. Vela raised 40 million euros (roughly $43 million) in a Series A round of funding in 2024, and after the first commercial journey, plans to raise more money to build another four vessels. With a fleet of five ships, it can make departures roughly once a week, enough to meet the needs of its customers. Later, it plans to license the tech to partners to build more routes in other parts of the world. Fernandez-Ferri says, We see a future with a network of local players leveraging our technology to bring sailing transportation to its full potential.
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E-Commerce
People often take walking for granted. We just move, one step after another, without ever thinking about what it takes to make that happen. Yet every single step is an extraordinary act of coordination, driven by precise timing between spinal cord, brain, nerves, muscles, and joints. Historically, people have used stopwatches, cameras, or trained eyes to assess walking and its deficits. However, recent technological advances such as motion capture, wearable sensors, and data science methods can record and quantify characteristics of step-by-step movement. We are researchers who study biomechanics and human performance. We and other researchers are increasingly applying this data to improve human movement. These insights not only help athletes of all stripes push their performance boundaries, but they also support movement recovery for patients through personalized feedback. Ultimately, motion could become another vital sign. From motion data to performance insights Researchers around the world combine physiology, biomechanics, and data science to decode human movement. This interdisciplinary approach sets the stage for a new era where machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that improve health. Its the same technology that powers your fitness tracker. For example, the inertial measurement unit in the Apple Watch records motion and derives metrics such as step count, stride length, and cadence. Wearable sensors, such as inertial measurement units, record thousands of data points every second. The raw data reveals very little about a persons movement. In fact, the data is so noisy and unstructured that its impossible to extract any meaningful insight. That is where signal processing comes into play. A signal is simply a sequence of measurements tracked over time. Imagine putting an inertial measurement unit on your ankle. The device constantly tracks the ankles movement by measuring signals such as acceleration and rotation. These signals provide an overview of the motion and indicate how the body behaves. However, they often contain unwanted background noise that can blur the real picture. With mathematical tools, researchers can filter out the noise and isolate the information that truly reflects how the body is performing. Its like taking a blurry photo and using editing tools to make the picture clear. The process of cleaning and manipulating the signals is known as signal processing. After processing the signals, researchers use machine learning techniques to transform them into interpretable metrics. Machine learning is a subfield of artificial intelligence that works by finding patterns and relationships in data. In the context of human movement, these tools can identify features of motion that correspond to key performance and health metrics. For example, our team at the Human Performance and Nutrition Research Institute at Oklahoma State University estimated fitness capacity without requiring exhaustive physical tests or special equipment. Fitness capacity is how efficiently the body can perform physical activity. By combining biomechanics, signal processing, and machine learning, we were able to estimate fitness capacity using data from just a few steps of our subjects walking. Beyond fitness, walking data offers even deeper insights. Walking speed is a powerful indicator of longevity, and by tracking it, we could learn about peoples long-term health and life expectancy. From performance to medicine The impact of these algorithms extends far beyond tracking performance, such as steps and miles walked. They can be applied to support rehabilitation and prevent injuries. Our team is developing a machine learning algorithm to detect when an athlete is at an elevated risk of injury just by analyzing their body movement and detecting subtle changes. Other scientists have used similar approaches to monitor motor control impairments following a stroke by continuously assessing how a patients walking patterns evolve, determining whether motor control is improving, or if the patient is compensating in any way that could lead to future injury. Similar tools can also be used to inform treatment plans based on each patients specific needs, moving us closer to true personalized medicine. In Parkinsons disease, these methods have been used to diagnose the condition, monitor its severity, and detect episodes of walking difficulties to prompt cues to the patients to resume walking. Others have used these techniques to design and control wearable assistive devices such as exoskeletons that improve mobility for people with physical disabilities by generating power at precisely timed intervals. In addition, researchers have evaluated movement strategies in military service members and found that those with poor biomechanics had a higher risk of injury. Others have used wrist-worn wearables to detect overuse injuries in service members. At their core, these innovations all have one goal: to restore and improve human movement. Motion as a vital sign We believe that the future of personalized medicine lies in dynamic monitoring. Every step, jump, or squat carries information about how the body functions, performs, and recovers. With advances in wearable technology, AI, and cloud computing, real-time movement monitoring and biofeedback are likely to become a routine part of everyday life. Imagine an athletes shoe that warns them before an injury occurs, clothing for the elderly that detects and prevents a fall before it occurs, or a smartwatch that detects early signs of stroke based on walking patterns. Combining biomechanics, signal processing, and data science turns motion into a vital sign, a real-time reflection of your health and well-being. Azarang Asadi is a data scientist at Oklahoma State University. Collin D. Bowersock is a principal scientist at the Human Performance and Neuromechanics Research Institute at Oklahoma State University.
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E-Commerce
Phones have always been fashion statements. What started as simple cases to protect your phone has evolved into decking out the devices with every accessory imaginable: dangling charms and key chains, PopSockets, phone wallets, straps, and now . . . pockets? Apple just launched a new product called the iPhone Pocket, and it’s effectively a knitted bag for your iPhone. Apple designed the pouch in collaboration with high-end Japanese fashion brand Issey Miyake, whose relationship with Apple stretches back to the Steve Jobs era. (Jobs’s signature turtlenecks were designed by Miyake, who retired the iconic shirts following Jobss death in 2011.) [Photo: Apple] The tech giant says the 3D-knitted design is meant to serve as an additional pocket for an iPhone and small essentials like AirPods or lip balm. The ribbed pleatsa nod to Miyakes signature styleare designed to hold any iPhone, stretching just enough to offer a peek at the screen. Given the stretchy fabric, it can be carried by hand, attached to a bag, or worn across the body. The shorter versionavailable in bright shades like orange, pink, yellow, and turquoisecosts $149.95 and can be worn on the wrist or attached to a bag as a charm. The cross-body version comes in blue, brown, or black. That extra fabric will cost you, with a price of $229.95. [Photo: Apple] The iPhone, accessorized Unsurprisingly, the internet is balking at the price. Marques Brownlee, an influencer with more than 20 million subscribers, reacted on X: TWO hundred and thirty dollars. This feels like a litmus test for people who will buy/defend anything Apple releases. A wave of responses quickly followed. Can’t wait for the $8 Amazon knockoffs, wrote one user. Another added: What are they gonna do? Stop making pockets on our pants so we have to start wearing our phones like a purse? C’mon man, Apple will do anything BUT innovate on a new phone. [Photo: Apple] Many have noted that the pouch takes inspiration from Jobss 2004 iPod Sock, which he jokingly described at the time as a revolutionary new product. The Miyake collab lacks the same sense of humor, but it at least signals a hint of playfulness coming out of Cupertino. [Photo: Apple] Apple has historically taken a minimalist approach to accessories, with iPhone cases designed to be a simple second skin to the devices. For the most part, the company has left any sort of self-expression to third-party accessory brands, which can have a heckuva lot more fun with their design. [Photo: Apple] This year, though, Apple seems to have taken notice that people want to accessorize their phonesyou know, the object that humans carry with them for hours a day and coddle like a baby. The company dipped its toes into wearable iPhone fashion with a $59 cross-body strap released alongside its September iPhone lineup. Now, the iPhone Pocket marks Apples second venture into phone-as-accessory territory. The Pocket is getting roasted, and perhaps fairly so. But the product very clearly has its audience in mind: the small Venn diagram of people who care enough about technology and fashion to wear it on their bodiesand have enough money to pay for the pleasure of doing so
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E-Commerce
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