Bang & Olufsen introduces Beoplay EX, its most versatile true wireless ANC earphones to date

Bang & Olufsen today announced the launch of Beoplay EX, the latest addition to its wearable audio portfolio. With astounding sound, adaptive ANC and a fully waterproof design, Beoplay EX is the most versatile true wireless earphone model from Bang & Olufsen to date. Built to simplify personal sound, Beoplay EX offers an unparalleled combination of performance and style to create the perfect personal sound companion for amplifying all varieties of daily audio experiences.

“Beoplay EX embodies the seamless blend of comfort, luxury and quality sound that threads the entirety of our legendary audio portfolio together. From our award-winning Beoplay H95 over-ear ANC headphones to Beoplay Portal, our premiere entry to the gaming market, Beoplay EX is the natural next step in our superior sound offering”, says Bang & Olufsen Dorte Vestergaard, Bang & Olufsen’s Category Director.

Compact design. Built for comfort.

Beoplay EX differs most notably from previous Bang & Olufsen earphones in the shape of its design. Designed by Thomas Bentzen, the stem-based shape has been adopted and transformed into a finished offering that is equal parts stylish and comfortable. The housing of the earphone placed inside the ear, is smaller than ever before, and ensures a comfortable and stable fit that can be worn for hours without readjustment.

The practicality of this new shape is matched with the signature Bang & Olufsen aesthetic, perfected over 96 years of craftmanship and design innovation. From the mirror-like glass interface which catches the light at the perfect moment, to the surrounding brushed aluminum ring, Beoplay EX creates a statement for the wearer whether they opt for the slick Black Anthracite, opulent Gold Tone or striking Anthracite Oxygen finish. Beoplay EX comes complete with a matching brushed aluminum charging case, which is conveniently pocket-sized, making it the perfect travel companion.

Soul-stirring sound. All day long.

Whether Beoplay EX is used in the office, on the move, in the gym or at home, it has been designed by Bang & Olufsen with the aim to provide the best sound for any setting. Tuned by the brand’s acoustic engineers with decades of experience, Beoplay EX brings the superior sound that listeners expect from Bang & Olufsen’s legacy of portable and home audio products to the comparatively-miniature package of an in-ear device. Beoplay EX encompasses Adaptive Active Noise Cancellation technology, allowing the wearer to appreciate the depth, detail and clarity of sound that the artist intended, for a truly immersive audio experience.

Bang & Olufsen’s new shape in earphone design creates space for a 9.2 mm speaker driver in Beoplay EX, the biggest ever used for a true-wireless device by the brand. This results in a significant upgrade in the power of each audio moment, without compromising on comfort. Listening can last all day, as Beoplay EX has up to 20 hours of total playtime including charging in the case, and 6 hours of playtime with ANC turned on.

This combination of unrivalled sound quality and impressive ANC is matched with an upgrade in call quality, so that Beoplay EX can be used for taking meetings or personal calls at any moment. Each earphone has three microphones, beamforming technology and own voice functionality built in, to ensure a seamless call experience.

Simple connectivity. Versatile.

With the latest in Bluetooth 5.2 technology and background noise reduction, Beoplay EX makes it easy to go wireless and connect with the office, friends and family in any location. With Multipoint connectivity, the earphones can also connect to two devices at the same time, allowing wearers to listen to music from one and make calls with the other. Beoplay EX is not only leading the way in connectivity, but the new model is also sweat and IP57-certified dust resistant and waterproof, making it an extremely durable personal sound solution.

Pricing & availability

The Beoplay EX (399 USD / 399 EUR / 349 GBP / 2998 CNY) will be available in Anthracite Oxygen from May 5th 2022, Gold Tone from May 27th 2022 and Black Anthracite from June 2022.

Beoplay EX is available globally at Bang & Olufsen, online, and in select retailers.

About Bang & Olufsen

Bang & Olufsen is a luxury audio brand founded in 1925 in Struer, Denmark, by Peter Bang and Svend Olufsen whose devotion and vision remain the foundation for the company. For nearly a century, Bang & Olufsen has been pushing the boundaries of audio technology and the company continues to sit at the forefront of acoustic innovation.

Today, every Bang & Olufsen product is still characterized by the unique combination of beautiful sound, timeless design, and unrivalled craftsmanship. The company’s innovative and progressive products are sold worldwide in Bang & Olufsen stores, on bang-olufsen.com and in select retailers. The company employs approximately 900 people and operates in more than 70 markets. Bang & Olufsen’s shares are listed on NASDAQ Copenhagen A/S.

10 YEARS BUILDING THE ECOSYSTEM

South Summit Madrid was born in 2012 as Spain Startup to boost economy through innovation and entrepreneurship. 10 years later we are proud of having built a solid ecosystem and having a referent encounter became more and more relevant in the startup world.

SOUTH SUMMIT 2022 June 8-10th | The Ship, Madrid

2022 will be our 10th anniversary. To celebrate it we are preparing the best edition to date. Connect with key players in the ecosystem, find business opportunities and meet new talent, all in one place. Are you gonna miss it?

SOUTH SUMMIT 2022 Madrid

Fēnix 7: the latest generation of Garmin smartwatches

  • The popular multisport GPS watch series is reinvented with a new touch screen, advanced training features and a longer-lasting solar-charged battery
  • The fēnix 7X models incorporate a built-in multi-LED flashlight so that the adventurer can enjoy his passion even in the dark.
  • Users will continue to have access to topographic maps, smart connectivity and security features, and wellness measurement tools.

Barcelona, ​​2022. – The wait has been worth it. Garmin introduces the fēnix 7 series of smartwatches, the next generation of the iconic line of solar-powered multisport GPS devices, designed with the best features to help athletes and adventurers perform at their best. Among its novelties, the new touch screen combined with an interface with 5 buttons integrated into a resistant casing stands out. It also incorporates innovative training functions, as well as multi-band positioning and multi-zone topographic maps. Not forgetting the advanced solar charging technology that allows for longer battery life sAo users can enjoy their passion for longer.

“Since the introduction of fēnix 10 years ago, at Garmin we have been committed to helping athletes and adventurers pursue their challenges, and we remain steadfast in our mission to equip them with innovative tools that help them do so,” said Salvador Alcover, Garmin CEO. Iberia. “The fēnix 7 series brings cutting-edge multisport training capabilities to the wrist. The new touchscreen and updated design, advanced performance metrics, and health, wellness, and connectivity features make fēnix 7 the most complete lineup for athletes to perform at their best,” he adds.

Designed for adventure

The series is available in three sizes and different premium materials, such as titanium and sapphire. To withstand the most demanding adventure conditions and to obtain greater durability, the watch has been redesigned incorporating reinforced lugs and a metal protection for the start button. As a novelty, the 5 button-shaped controls are joined by a new highly responsive touch screen. In this way, the user will have a dual utility interface, thus facilitating quick and intuitive interaction and navigation through the maps, or they can deactivate the touch screen if they prefer to use only the buttons.

 

Solar charging technology, pioneered by Garmin watches, is also present in fēnix 7 which, thanks to its design, maximizes the solar surface for greater efficiency, doubling the solar gains of fēnix 6 in smartwatch mode. For fēnix 7X models, solar power can last even longer between charges with a battery life of up to 5 weeks in smartwatch mode1 and up to 5 days in GPS mode2. Furthermore, with the introduction of the Power SapphireTM (solar sapphire) models, wearers will no longer have to choose between a solar-charged watch or one with a sapphire lens, as these models have both features.

Light in the darkness

While solar charging helps make the most of daylight hours, fēnix 7X’s new hands-free, quick-access integrated multi-LED flashlight makes it possible to take advantage of low-light and dark hours. An adjustable white or red light will illuminate the path for increased visibility and terrain awareness. Thanks to it, adventurers can set up camp after a long day of hiking or exercise in the late afternoon. With race mode activated, the light will adapt to the runner’s cadence, alternating between white and red with each movement of the arm. The white light will illuminate forward to see the track and the red light will illuminate backwards so the runner can see and be seen as he takes each stride with the utmost confidence.

First level training

The new fēnix 7 generation continues to bet on multiple sports applications ranging from bouldering (block climbing) to mountaineering, through strength training and many other profiles. It also incorporates a series of tools to achieve optimal performance and go to the next level:

Stamina – This tool allows athletes to control and track exertion levels during a running or cycling activity, thus keeping exhaustion at bay.

Visual Race Predictor: This feature takes into account the user’s running history and general fitness to provide race estimates and insights on how their training is progressing.

Recovery Time Advisor: Once physical activity is complete, this feature takes into account training intensity and other factors such as stress, daily activity, and sleep to estimate the number of hours of rest needed to recover before another training session of the same nature.

Daily Training Suggestions – This feature provides recommendations for the next running or cycling training session, based on your current training load, training status, and overall fitness level.

In order not to lose the north

Staying true to the brand’s philosophy, the range of watches is equipped with the full suite of Garmin navigation features, being compatible with all major satellite systems along with the additional L5 frequency range to improve accuracy in harsh GPS environments. All models in the series come with preloaded SkiView and 42,000 golf course maps. Standard Solar copies allow TopoActive maps to be downloaded from any region of the world. For its part, the Sapphire Solar models have preloaded TopoActive maps of their region and also allow downloading of any territory in the world.

To optimize time on race day, fēnix 7 has a new Next Stops feature that provides the exact location of aid stations, trails, next turns, and more. At user-defined upcoming stops, a data page displays performance metrics including upcoming distance and elevation, with a summary of the last leg and an optional rest timer. All this to help athletes manage their time during the competition.

Wellness and connectivity 24/7

As a good adventure partner, fēnix 7 is designed to be enjoyed every day and in any environment. It has health and wellness tools like Pulse Ox, heart rate, breathing and stress monitoring, as well as measuring energy levels with Body Battery and age according to fitness with Fitness Age. As a novelty, the advanced sleep monitor3 stands out, offering an evaluation of sleep by scoring it from 0 to 100, taking into account how much time the user has spent in each sleep phase, information on activity, stress levels and bedtime.

Fēnix 7 allows smart notifications to be received directly on the wrist by pairing the smartwatch with a compatible smartphone. Thanks to its connectivity, the device has security and tracking functions providing peace of mind while training outdoors with automatic detection of incidents and falls and manually activated assistance alerts, which send a message with the user’s location in real time. to emergency contacts4.

Those who choose fēnix 7 will also be able to make their purchases through the Garmin PayTM5 contactless payment system and enjoy a rhythmic workout listening to their favorite music through the streaming services6 of the Spotify, Amazon Music and Deezer applications, all of them downloadable in fēnix 7 smartwatches through the Connect IQ Store.

Released models include fēnix 7S, fēnix 7 and fēnix 7X, with a choice of standard (non-solar), solar and solar sapphire editions, and are available now at https://www.garmin.com/es-ES/ .

All Garmin information

fēnix 7 RRP: from €699.99 (VAT included) fēnix 7S RRP: from €699.99 (VAT included) fēnix 7X RRP: from €899.99 (VAT included)

1 Solar charging, assuming all-day use with 3 hours a day outside in 50,000 lux conditions

2 GPS mode notice: solar charging, assuming use under 50,000 lux conditions

3 This is not a medical device and is not intended for use in the diagnosis or monitoring of any medical condition; see Garmin.com/ataccuracy. Pulse Ox is not available in all countries.

4 When paired with a compatible smartphone. For requirements and limitations on safety and tracking features, see Garmin.com/safety.

5 View currently supported country, payment network, and issuing bank information

6 Requires a premium subscription with a third-party music provider. SPOTIFY and the Spotify logo are among the registered trademarks of Spotify AB. Amazon Music and all related logos are trademarks of Amazon . com , Inc. or its affiliates

About Garmin:

A world leader in satellite navigation, Garmin Ltd. and its subsidiaries have been designing, manufacturing, marketing and selling navigation, communication and information devices and applications since 1989, most of which integrate GPS technology. Garmin products are used in automotive, mobile telephony, wireless communication, outdoor entertainment, marine, aviation and OEM applications. Garmin Ltd. is headquartered in Switzerland and its main subsidiaries are located in the United States, Taiwan, and the United Kingdom. Garmin is a registered trademark of Garmin Ltd.

Notice about future statements:

This release includes forward-looking statements regarding Garmin Ltd. and its business. Such statements are based on management’s current expectations. Future events and circumstances described in this publication may not occur and actual results may differ materially due to known and unknown risk factors and uncertainties that may affect Garmin, including, but not limited to, the risk factors set forth in Form 10-K of the Annual Report for the year ended December 27, 2020 filed by Garmin with the Securities and Exchange Commission (Commission File Number 0-31983). You can download a copy of Garmin’s Form 10-K at www.garmin.com/aboutGarmin/invRelations/finReports.html.No forward-looking statements can be guaranteed. Forward-looking statements speak only as of the date they are made, and Garmin undertakes no obligation to publicly update or revise any forward-looking statements, regardless of new information, future events or otherwise. review or update them periodically, whether as a result of new data, future events or any other circumstance.

Taking a quantum leap, artificial intelligence (AI) is a key technology for the automotive industry

More and more vehicle functions are based on artificial intelligence. However, conventional processors and even graphics chips are increasingly reaching their limits when it comes to the computations required for neural networks. Porsche Engineering reports on new technologies that will speed up AI calculations in the future.

Artificial intelligence (AI) is a key technology for the automotive industry, and fast hardware is equally important for the complex back-end calculations involved. After all, in the future it will only be possible to bring new features into series production with high-performance computers. “Autonomous driving is one of the most demanding AI applications of all,” explains Dr. Joachim Schaper, Senior Manager for AI and Big Data at Porsche Engineering. “The algorithms learn from a multitude of examples collected by test vehicles using cameras, radar or other sensors in real traffic.”

Dr. Joachim Schaper, Gerente Senior de IA y Big Data and Porsche Engineer

Conventional data centers are increasingly unable to cope with the growing demands. “Now it takes days to train a single variant of a neural network,” explains Schaper. So, in his opinion, one thing is clear: automakers need new technologies for AI calculations that can help algorithms learn much faster. To achieve this, as many vector matrix multiplications as possible must be executed in parallel in the complex deep neural networks (DNNs), a task that graphics processing units (GPUs) specialize in. Without them, the incredible advances in AI in recent years would not have been possible.

50 times the size of a GPU

However, graphics cards were not originally designed for AI use, but rather to process image data as efficiently as possible. They are increasingly pushed to the limit when it comes to training algorithms for autonomous driving. Therefore, specialized AI hardware is required for even faster calculations. The Californian company Cerebras has presented a possible solution. Its Wafer Scale Engine (WSE) is optimally tailored to the requirements of neural networks by packing as much computing power as possible into one giant computer chip. It is more than 50 times the size of a typical graphics processor and offers room for 850,000 compute cores, more than 100 times more than today’s top GPU.

In addition, Cerebras engineers have networked the computational cores together with high-bandwidth data lines. According to the manufacturer, the Wafer Scale Engine network carries 220 petabits per second. Cerebras has also widened the bottleneck within GPUs: data travels between memory and compute almost 10,000 times faster than on high-performance GPUs, at 20 petabytes per second.

Giant Chip: Cerebras’ Wafer Scale Engine packs massive computing power into a single integrated circuit with a side length of over 20 centimeters.

To save even more time, Cerebras mimics a brain trick. There, neurons work only when they receive signals from other neurons. The many connections that are currently idle do not need any resources. In DNNs, on the other hand, vector matrix multiplication often involves multiplying by the number zero. This costs time unnecessarily. Therefore, the Wafer Scale Engine refrains from doing so. “All zeros are filtered out,” Cerebras writes in its white paper on the WSE. So the chip only performs operations that produce a non-zero result.

One drawback of the chip is its high electrical power requirement of 23 kW and requires water cooling. Therefore, Cerebras has developed its own server enclosure for use in data centers. The Wafer Scale Engine is already being tested in the data centers of some research institutes. Artificial intelligence expert Joachim Schaper thinks the giant chip from California could also accelerate automotive development. “Using this chip, a week’s training could theoretically be reduced to a few hours,” he estimates. “However, the technology has yet to prove this in practical tests.”

light instead of electrons

As unusual as the new chip is, like its conventional predecessors, it also runs on conventional transistors. Companies like Lightelligence and Boston-based Lightmatter want to use the much faster medium of light for AI calculations instead of comparatively slow electronics, and are building optical chips to do so. Thus, DNNs could work “at least several hundred times faster than electronic ones,” the Lightelligence developers write.

“With the Wafer Scale Engine, a week of training could theoretically be reduced to just a few hours.” Dr. Joachim Schaper, Senior Manager for AI and Big Data at Porsche Engineering

To do this, Lightelligence and Lightmatter use the phenomenon of interference. When light waves amplify or cancel each other out, they form a light-dark pattern. If you direct the interference in a certain way, the new pattern corresponds to the vector-matrix multiplication of the old pattern. So light waves can “do math.” To make this practical, the Boston developers etched tiny light guides onto a silicon chip. As in a textile fabric, they are crossed several times. The interference takes place at the junctions. In between, tiny heating elements regulate the refractive index of the light guide, allowing light waves to move past each other. This allows you to control their interference and perform vector-matrix multiplications.

However, Boston businesses are not doing without electronics entirely. They combine their lightweight computers with conventional electronics that store data and perform all calculations except vector and matrix multiplication. These include, for example, nonlinear activation functions that modify the output values ​​of each neuron before moving on to the next layer.

Computing with light: Lightmatter’s Envise chip uses photons instead of electrons to compute neural networks. Input and output data are supplied and received by conventional electronics.

With the combination of optical and digital computing, DNNs can be calculated extremely quickly. “Its main advantage is low latency,” explains Lindsey Hunt, a spokesperson for Lightelligence. For example, this allows the DNN to detect objects in images faster, such as pedestrians and electric scooter users. In autonomous driving, this could lead to quicker reactions in critical situations. “Also, the optical system makes more decisions per watt of electrical power,” said Hunt. That’s especially important as increasing computing power in vehicles increasingly comes at the expense of fuel economy and range.

Lightmatter and Lightelligence solutions can be inserted as modules into mainstream computers to speed up AI calculations, just like graphics cards. In principle, they could also be integrated into vehicles, for example to implement autonomous driving functions. “Our technology is well suited to serve as an inference engine for a self-driving car,” explains Lindsey Hunt. Artificial intelligence expert Schaper has a similar opinion: “If Lightelligence succeeds in building components suitable for automobiles, this could greatly accelerate the introduction of complex AI functions in vehicles.” The technology is now ready for the market: the company is planning its first pilot tests with customers in 2022.

The quantum computer as a turbo AI

Quantum computers are somewhat further removed from practical application. They will also speed up AI calculations because they can process large amounts of data in parallel. To do this, they work with so-called “qubits”. Unlike the classical unit of information, the bit, a qubit can represent the two binary values ​​0 and 1 simultaneously. The two numbers coexist in a state of superposition that is only possible in quantum mechanics.

“The more complicated the patterns, the more difficult it is for conventional computers to distinguish classes.” Heike Riel, director of IBM Research Quantum Europe/Africa

Quantum computers could boost artificial intelligence when it comes to classifying things, for example in traffic. There are many different categories of objects there, including bikes, cars, pedestrians, signs, dry and wet roads. They differ in terms of many properties, which is why experts speak of “pattern recognition in higher-dimensional spaces.”

“The more complicated the patterns, the more difficult it is for conventional computers to distinguish the classes,” explains Heike Riel, who leads IBM’s quantum research in Europe and Africa. That’s because with each dimension, it becomes more expensive to compute the similarity of two objects: How similar are an e-scooter driver and a walker user trying to cross the street? Quantum computers can work efficiently in high-dimensional spaces compared to conventional computers. For certain problems, this property could be useful and result in some problems being solved faster with the help of quantum computers than conventional high-performance computers.

Heike Riel, director of IBM Research Quantum Europe/Africa

IBM researchers have analyzed statistical models that can be trained for data classification. Initial results suggest that cleverly chosen quantum models perform better than conventional methods for certain data sets. Quantum models are easier to train and appear to have higher capacity, allowing them to learn more complicated relationships.

Riel admits that while current quantum computers can be used to test these algorithms, they still don’t have an advantage over conventional computers. However, the development of quantum computers is advancing rapidly. Both the number of qubits and their quality are constantly increasing. Another important factor is speed, measured in Circuit Layer Operations Per Second (CLOPS). This number indicates how many quantum circuits the quantum computer can run at one time. It is one of the three important performance criteria of a quantum computer: scalability, quality, and speed.

In the foreseeable future, it should be possible to demonstrate the superiority of quantum computers for certain applications, that is, that they solve problems faster, more efficiently, and more accurately than a conventional computer. But building a powerful, bug-fixed, general-purpose quantum computer will still take some time. Experts estimate that it will take at least another ten years. But the wait could be worth it. Like optical chips or new architectures for electronic computers, quantum computers could hold the key to future mobility.

Soon

When it comes to AI calculations, not only conventional microprocessors, but also graphics chips, are now reaching their limits. Therefore, companies and researchers around the world are working on new solutions. Wafer chips and lightweight computers are close to reality. In a few years, these could be supplemented by quantum computers for particularly demanding calculations.

The 2023 MasterCraft XStar S Piranha Limited Edition model is stacked with luxury premium

 

The 2023 MasterCraft XStar S Piranha Limited Edition model is stacked with premium features and upgrades to turn heads and turn up for the best time on the water.

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With a limited run of 25 units and Ilmor’s SUPERCHARGED 6.2L engine, the XStar S Piranha Limited Edition is the most powerful and most exclusive towboat in the world.

THE MOST POWERFUL

With 630 horsepower and 665 lb-ft of torque, the all-new Ilmor SUPERCHARGED 6.2L is the world’s most powerful towboat engine. Pair that power with MasterCraft’s patented SurfStar system for an unmatched behind-the-wheel and behind-the-boat experience.

THE MOST EXCLUSIVE

The XStar S Piranha Limited Edition will have an extremely limited run of 25 models. Each model will be flanked with a plaque designating which number of the 25 it is. Additionally, the purple flake gelcoat is an exclusive color to the Piranha edition ensuring your boat is one of the rarest and most luxurious wake boats on the water.

THE MOST LUXURIOUS

We held nothing back when designing the XStar S Piranha Limited Edition. Enjoy premium features like our patented Z8 tower with Hydro-Lock Technology, intuitive stern thruster, CoolFeel jet black upholstery and exclusive purple stitching with RGB accent lighting… just to name a few.

THE ILMOR SUPERCHARGED 6.2L

With 630 horsepower and 665 lb-ft of torque, the all-new Ilmor SUPERCHARGED 6.2L is the world’s most powerful towboat engine. Found exclusively in a MasterCraft including all 25 of the XStar S Piranha Limited Edition models.