Today, Meta (formerly Facebook) announced it is investing half a million euros with Irish institutions for research projects into privacy protection, data sharing and data governance. The projects will form part of Empower, an academic and industry research programme run by four SFI Research Centres: Lero, Insight, FutureNeuro and ADAPT.
As technology evolves and lives become increasingly digitised, it is important that private and public organisations are transparent and open about their data practices. The research projects will look at current data governance and privacy protection systems to identify gaps and opportunities to ensure that evolving privacy standards and protections are effective, inclusive and fair.
Meta is investing in this area of research as the company believes people should be confident that their data is protected, being shared responsibly and that they have meaningful options to access, delete, and move it.
Two projects which will be funded under Meta’s investment include:
1.SFI ADAPT Research Centre for AI-Driven Digital Content Technology which aims to give partners in the healthcare data space a framework for understanding different regulatory and organisational policy constraints on data sharing and ensure that data is shared in a way that respects the rights and freedom of users. This research project is responding to one of the key priorities of the EU Data Strategy that looks to support better data flows within the EU.
2. Insight at UCC, the SFI Research Centre of Data Analytics, will look at advancing privacy-enhancing technology (PET) such as de-identification and anonymisation. This area of research aims to enhance people’s trust in privacy systems and enhance regulators’ ability to understand automated-decision and AI-powered systems, which will ultimately lead to better oversight of data-driven practices.
Speaking about the collaboration, Director of Empower, Professor Markus Helfert of Maynooth University said: “The investment from Meta supports innovative research projects addressing significant challenges of data governance helping to realise Empower’s ambition of establishing leading practices in data governance. This will form the foundation, technologies and key approaches of a trusted global data ecosystem, with positive societal impact. As the amount of data increases, data ecosystems need to be governed effectively driving complex information supply chains.”
Dan Hayden, Director of Privacy Policy at Meta, said: “The role of technology in our lives and society is evolving faster than ever before. It is critical that we work hard to put privacy first and work with people at the forefront of emerging technologies and scientific understanding to find solutions to current and future industry challenges. We are delighted to be collaborating with leading Irish research institutions and investing in this important area of research.”
The Empower research programme will run for four years and was launched in November 2021. Data sharing is not part of the agreement and Meta will not be sharing data with Empower for these research projects.
Bird, a leader in environmentally friendly electric transportation, and the Irish School of Excellence (ISOE) today announced the launch of Ireland’s first e-scooter safety course. The first-of-its-kind programme in Ireland is designed to educate transition year, Leaving Certificate Applied (LCA), Youthreach and after school students on safe and responsible riding practises for the use of shared e-scooters.
The ISOE is Ireland’s largest driver education programme, working with over 570 secondary schools nationwide. Covering almost 80% of schools nationally, the ISOE and Bird will roll out Ireland’s first e-scooter safety course as soon as legislation governing their use is passed. The as the Road Traffic and Roads Bill 2021 makes it way through the Oireachtas to allow for e-scooters on Irish roads, and ahead of Councils throughout Ireland beginning licensing processes this year.
Once e-scooters are legalised in Ireland, Bird’s ‘E-scooter Safety Course,’ module will serve as part of the Irish School of Excellence’s existing ‘Driver Education Course’. The course is used to encourage young people to adopt a safety-led approach to driving, and is available to Leaving Cert pupils preparing to take driving lessons, as cars and micro mobility devices increasingly share the road. The pioneering ‘E-scooter Safety Module’ will provide pupils with an overview of the law governing e-scooters; a guide on how to ensure pedestrian safety while using e-scooters; tuition on starting and moving off safely, as well as a tutorial on how to park safely.
Kieran O’Brien, CEO and founder of Irish School of Excellence said: “As our transport network evolves to embrace more sustainable travel options such as shared e-scooter schemes, so too should driving education. It has been heartening to witness first hand Bird’s proactivity in this space. Together we have devised a course that will equip young people across Ireland with the education necessary to use e-scooters safely on Irish roads.”
Charlotte Bailey, General Manager for UK and Ireland at Bird said: “Safety is of paramount importance to Bird. As Ireland prepares to embrace shared e-scooter schemes, it is essential that the public is educated on how to use e-scooters safely. Bird is proud to work with Irish School of Excellence, an organisation with enormous reach, to spearhead Ireland’s first e-scooter safety course. At Bird, we enforce an age limit of 18 years across our platform but believe it is important to begin instilling e-scooter safety early to ensure the next generation ride responsibly.”
National Broadband Ireland (NBI), the company rolling out the new high-speed fibre broadband network under the Government’s National Broadband Plan (NBP), has today launched a new 2 Gigabit per second (Gbit/s) offering in partnership with the 34 retail service providers selling services on the NBI network.
The new offering will enable residential customers across Ireland to enjoy 2Gbit/s download speeds with 200Mbit/s upload speeds, while business customers can avail of 2Gbit/s download speeds with 400Mbit/s upload speeds.
This new offering has expanded NBI’s product portfolio to six different high-speed broadband offerings for customers. The entry level offering provided to customers on the NBI network includes 500Mbit/s download with 50Mbit/s upload.
Peter Hendrick, CEO of National Broadband Ireland, said:“We are delighted to facilitate this new offering for customers in partnership with all retail service providers on the NBI network. The comprehensive range of offerings available on the NBI network will empower customers across Ireland with a variety of different requirements in terms of broadband speeds. National Broadband Ireland is working to ensure that every person can realise their ambitions through access to high-speed broadband.”
With the introduction of NBI’s new 2Gbit/s high-speed broadband offering, the company has expanded the portfolio of broadband options available on the NBI networks to six:
Products
Download Speed
Upload Speed
High-Speed Broadband Consumer Standard
500Mbit/s
50Mbit/s
High-Speed Broadband Consumer Premium
1Gbit/s
100Mbit/s
High-Speed Broadband Consumer Elite
2Gbit/s
200Gbit/s
High-Speed Broadband Business Standard
500Mbit/s
100Mbit/s
High-Speed Broadband Business Premium
1Gbit/s
200Mbit/s
High-Speed Broadband Business Enterprise
2Gbit/s
400Gbit/s
Some 50 retail service providers (RSPs) have already signed up to sell services on the NBI network and 34 are certified as ready to start providing connections today. This is expected to bring significant benefits directly to consumers and businesses. Competition between RSPs affords choice for end users which will ensure quality bundled packages offer consumers choice around voice, broadband, TV and mobile at competitive prices.
National Broadband Ireland is actively working across the country to design and build the new high-speed, Fibre-to-the-Home network, which will connect over 1.1 million people and over 554,000 premises in the project’s Intervention Area. NBI is encouraging people to keep up to date with Eircode specific updates at /eoi/.
AnkerWork, developer of unique conferencing solutions that enhance the hybrid work experience, today launched the AnkerWork B600, its first all-in-one video conferencing bar that combines a 2K camera, 4-mic array, dual speakers and smart LED light bar. The B600 was unveiled as a CES Award honoree during CES 2022 and is available for purchase starting today.
Four-In-One Design
The AnkerWork B600 is a four-in-one remote communication and collaboration video bar that is designed to solve your work-from-home challenges by eliminating desk clutter, distracting sounds and poor lighting during meetings. The B600 seamlessly integrates four capabilities into a single device: a 2K conference camera, intelligent noise reduction microphone array, high-quality speakers, and built-in automated lighting. Equally ideal for using at home or at the office, the compact device mounts easily on an external monitor while helping you maintain a neat and tidy workspace.
“The hybrid work model is requiring consumers to invest in multiple conferencing solutions – lights, mics, cameras and more – to stay connected with their colleagues,” said Eric Villines, Head of Global Communications at Anker Innovations. “The B600 is the first all-in-one video conferencing bar to offer a true plug and play studio experience. It makes everyone look and sound more professional while removing excess clutter in the workspace.”
Excellent Audio and Video Performance
AnkerWork’s B600 features a 2K video camera with auto-focus, field-of-view adjustment, and image enhancement to deliver a professional video experience from any location.
The B600 also features VoiceRadar™, an intelligent vocal radar technology that leverages four highly sensitive mics to detect, isolate and enhance the user’s voice audio from different directions. In addition, its 2X2W speakers incorporate directional beamforming technology that deliver incredible sound even in the noisiest of environments.
The AnkerWork B600 can be used with most current video conference platforms to provide vibrant video and crystal-clear audio to ensure users look and sound their best no matter where they are.
AnkerWork B600 in use
Innovative Built-in Light
Through MagicSight™ intelligent lighting technology, the B600 can accurately compensate for any lighting conditions in the home office. The B600 analyzes facial lighting through the camera and calculates the ideal lighting requirements for a perfect image. The B600 also delivers automated lighting adjustment through its built-in LED light bar to ensure users look their best in any setting. Color temperature and brightness can be adjusted using the AnkerWork app.
The integrated light panel design combines both privacy and lighting functions. When closed, the light panel acts as a privacy shield by covering the camera. The lighting panel can also be used as a reading light.
Product Specifications
Video:
• 2K/30fps
• Adjustable field of view of 65º, 78º and 90º
• AI-powered auto focus
• AI-powered intelligent zoom
• AI-powered image enhancement
Audio:
• 4-mic array for consistent voice pickup
• 2x2W audio output, Total Harmonic Distortion (THD) less than 1%
• AI-powered noise cancellation
Light:
• Edge light component
• Auto and manual light control
• Adjustable light brightness level and color temperature
Additional Details:
• AnkerWork App access for manually adjusting video/light settings
• Two dedicated USB-C ports for charging and data transfer
• USB-A port for pairing with wireless headsets (e.g. AnkerWork H700)
Price & Availability
The AnkerWork B600 is available for purchase today on Amazon.com and Ankerwork.com. In the United States the AnkerWork B600 will sell for $219.99; in the United Kingdom for £219.99; and in Germany for €229.99.
Developing the next generation of advanced AI will require powerful new computers capable of quintillions of operations per second. Today, Meta is announcing that they designed and built the AI Research SuperCluster (RSC) — which they believe is among the fastest AI supercomputers running today and will be the fastest AI supercomputer in the world when it’s fully built out in mid-2022. Their researchers have already started using RSC to train large models in natural language processing (NLP) and computer vision for research, with the aim of one day training models with trillions of parameters.
RSC will help Meta’s AI researchers build new and better AI models that can learn from trillions of examples; work across hundreds of different languages; seamlessly analyze text, images, and video together; develop new augmented reality tools; and much more. Our researchers will be able to train the largest models needed to develop advanced AI for computer vision, NLP, speech recognition, and more. We hope RSC will help us build entirely new AI systems that can, for example, power real-time voice translations to large groups of people, each speaking a different language, so they can seamlessly collaborate on a research project or play an AR game together. Ultimately, the work done with RSC will pave the way toward building technologies for the next major computing platform — the metaverse, where AI-driven applications and products will play an important role.
Why do we need an AI supercomputer at this scale?
Meta has been committed to long-term investment in AI since 2013, when we created the Facebook AI Research lab. In recent years, we’ve made significant strides in AI thanks to our leadership in a number of areas, including self-supervised learning, where algorithms can learn from vast numbers of unlabeled examples, and transformers, which allow AI models to reason more effectively by focusing on certain areas of their input.
To fully realize the benefits of self-supervised learning and transformer-based models, various domains, whether vision, speech, language, or for critical use cases like identifying harmful content, will require training increasingly large, complex, and adaptable models. Computer vision, for example, needs to process larger, longer videos with higher data sampling rates. Speech recognition needs to work well even in challenging scenarios with lots of background noise, such as parties or concerts. NLP needs to understand more languages, dialects, and accents. And advances in other areas, including robotics, embodied AI, and multimodal AI, will help people accomplish useful tasks in the real world.
High-performance computing infrastructure is a critical component in training such large models, and Meta’s AI research team has been building these high-powered systems for many years. The first generation of this infrastructure, designed in 2017, has 22,000 NVIDIA V100 Tensor Core GPUs in a single cluster that performs 35,000 training jobs a day. Up until now, this infrastructure has set the bar for Meta’s researchers in terms of its performance, reliability, and productivity.
In early 2020, we decided the best way to accelerate progress was to design a new computing infrastructure from a clean slate to take advantage of new GPU and network fabric technology. We wanted this infrastructure to be able to train models with more than a trillion parameters on data sets as large as an exabyte — which, to provide a sense of scale, is the equivalent of 36,000 years of high-quality video.
While the high-performance computing community has been tackling scale for decades, we also had to make sure we have all the needed security and privacy controls in place to protect any training data we use. Unlike with our previous AI research infrastructure, which leveraged only open source and other publicly available data sets, RSC also helps us ensure that our research translates effectively into practice by allowing us to include real-world examples from Meta’s production systems in model training. By doing this, we can help advance research to perform downstream tasks such as identifying harmful content on our platforms as well as research into embodied AI and multimodal AI to help improve user experiences on our family of apps. We believe this is the first time performance, reliability, security, and privacy have been tackled at such a scale. supercomputers are built by combining multiple GPUs into compute nodes, which are then connected by a high-performance network fabric to allow fast communication between those GPUs. RSC today comprises a total of 760 NVIDIA DGX A100 systems as its compute nodes, for a total of 6,080 GPUs — with each A100 GPU being more powerful than the V100 used in our previous system. The GPUs communicate via an NVIDIA Quantum 200 Gb/s InfiniBand two-level Clos fabric that has no oversubscription. RSC’s storage tier has 175 petabytes of Pure Storage FlashArray, 46 petabytes of cache storage in Penguin Computing Altus systems, and 10 petabytes of Pure Storage FlashBlade.
Early benchmarks on RSC, compared with Meta’s legacy production and research infrastructure, have shown that it runs computer vision workflows up to 20 times faster, runs the NVIDIA Collective Communication Library (NCCL) more than nine times faster, and trains large scale NLP models three times faster. That means a model with tens of billions of parameters can finish training in three weeks, compared with nine weeks before.
Designing and building something like RSC isn’t a matter of performance alone but performance at the largest scale possible, with the most advanced technology available today. When RSC is complete, the InfiniBand network fabric will connect 16,000 GPUs as endpoints, making it one of the largest such networks deployed to date. Additionally, we designed a caching and storage system that can serve 16 TB/s of training data, and we plan to scale it up to 1 exabyte.
All this infrastructure must be extremely reliable, as we estimate some experiments could run for weeks and require thousands of GPUs. Lastly, the entire experience of using RSC has to be researcher-friendly so our teams can easily explore a wide range of AI models.
A big part of achieving this was in working with a number of long-time partners, all of whom also helped design the first generation of our AI infrastructure in 2017. Penguin Computing, our architecture and managed services partner, worked with our operations team on hardware integration to deploy the cluster and helped set up major parts of the control plane. Pure Storage provided us with a robust and scalable storage solution. And NVIDIA provided us with its AI computing technologies featuring cutting-edge systems, GPUs, and InfiniBand fabric, and software stack components like NCCL for the cluster. …and doing it remotely, during a pandemic
But there were other unexpected challenges that arose in RSC’s development — namely the coronavirus pandemic. RSC began as a completely remote project that the team took from a simple shared document to a functioning cluster in about a year and a half. COVID-19 and industry-wide wafer supply constraints also brought supply chain issues that made it difficult to get everything from chips to components like optics and GPUs, and even construction materials — all of which had to be transported in accordance with new safety protocols. To build this cluster efficiently, we had to design it from scratch, creating many entirely new Meta-specific conventions and rethinking previous ones along the way. We had to write new rules around our data center designs — including their cooling, power, rack layout, cabling, and networking (including a completely new control plane), among other important considerations. We had to ensure that all the teams, from construction to hardware to software and AI, were working in lockstep and in coordination with our partners.
Beyond the core system itself, there was also a need for a powerful storage solution, one that can serve terabytes of bandwidth from an exabyte-scale storage system. To serve AI training’s growing bandwidth and capacity needs, we developed a storage service, AI Research Store (AIRStore), from the ground up. To optimize for AI models, AIRStore utilizes a new data preparation phase that preprocesses the data set to be used for training. Once the preparation is performed one time, the prepared data set can be used for multiple training runs until it expires. AIRStore also optimizes data transfers so that cross-region traffic on Meta’s inter datacenter backbone is minimized.
How we safeguard data in RSC
To build new AI models that benefit the people using our services — whether that’s detecting harmful content or creating new AR experiences — we need to teach models using real-world data from our production systems. RSC has been designed from the ground up with privacy and security in mind, so that Meta’s researchers can safely train models using encrypted user generated data that is not decrypted until right before training. For example, RSC is isolated from the larger internet, with no direct inbound or outbound connections, and traffic can flow only from Meta’s production data centers.
To meet our privacy and security requirements, the entire data path from our storage systems to the GPUs is end-to-end encrypted and has the necessary tools and processes to verify that
these requirements are met at all times. Before data is imported to RSC, it must go through a privacy review process to confirm it has been correctly anonymized. The data is then encrypted before it can be used to train AI models and decryption keys are deleted regularly to ensure older data is not still accessible. And since the data is only decrypted at one endpoint, in memory, it is safeguarded even in the unlikely event of a physical breach of the facility.
Phase two and beyond
RSC is up and running today, but its development is ongoing. Once we complete phase two of building out RSC, we believe it will be the fastest AI supercomputer in the world, performing at nearly 5 exaflops of mixed precision compute. Through 2022, we’ll work to increase the number of GPUs from 6,080 to 16,000, which will increase AI training performance by more than 2.5x. The InfiniBand fabric will expand to support 16,000 ports in a two-layer topology with no oversubscription. The storage system will have a target delivery bandwidth of 16 TB/s and exabyte-scale capacity to meet increased demand.
We expect such a step function change in compute capability to enable us not only to create more accurate AI models for our existing services, but also to enable completely new user experiences, especially in the metaverse. Our long-term investments in self-supervised learning and in building next-generation AI infrastructure with RSC are helping us create the foundational technologies that will power the metaverse and advance the broader AI community as well.
Falling can sometimes be great, Valentine’s Day is meant for falling in love, what no one wants is for that fall to apply to your phone and other precious tech gadgets. This Valentine’s Day show the person you love how much you’ve fallen for them with the help of these three products from ITSKINS, a leading global band in protective mobile and accessories cases that puts people and the planet at the heart of its activities.
Protect the other most important thing in their life with the help of ITSKINS new iPhone 13 cases. Available in several stylish case ranges ITSKINS have designs to fit every need and personality. With two enhanced layers of protection and premium drop protection from up to 4.5m/15 Feet these cases are perfect for the sports enthusiast in your life.
What’s the number one rule when it comes to a Valentine’s Day gift? “Good things come in small packages!” ITSKINS new Apple Watch 7 covers offer stylish but functional protection with anti-microbial and shock-resistant coverage great for any Valentine with a fast-paced and active lifestyle.
They already have the keys to your heart, so why not help them protect their keys too with the help of ITSKINS sleek anti-microbial, shock-resistant Airtag covers. ITSKINS is currently offering a 60% discount on all AirTag 4-packs so that the tech lover in your life can protect their belongings in style, without breaking the bank.
Dell Technologies (NYSE:DELL) announces the expansion of APEX Data Storage Services with new availability in Ireland. The portfolio of scalable and elastic storage resources is deployable on premises, helping customers expand business and IT operations into new geographies while gaining better control of their storage costs.
According to Gartner, by 2024, over 50% of newly deployed storage capacity will be sold as-a-Service or on a subscription basis, up from less than 15% in 2020. APEX Data Storage Services delivers the industry’s leading enterprise storage portfolio as-a-Service. Through a cloud experience, customers pay for the storage capacity they use and can scale, at the service level they need with infrastructure owned and maintained by Dell. Ireland is one of 14 countries that now has APEX Data Storage Services availability.
The portfolio includes APEX File Services, which now offers object-enabled capabilities with support for the S3 protocol, expanding storage use cases to include cloud-native application development without the need to copy data. This approach allows customers to transform applications for greater agility and control.
Jason Ward, Vice-President and Managing Director, Dell Technologies Ireland, said: “70% of Irish organisations are gathering data faster than they can analyse and harness its value. The explosion in the growth of data is placing significant pressure on IT teams as they look to store this most value asset. Predicting storage needs is also becoming increasingly unmanageable.
“That’s why we’re introducing APEX Data Storage Services here in Ireland. Our new as-s-Service solutions will give businesses and organisations complete oversight of storage resources as well as the flexibility to scale their storage requirements as they need.
“With today’s business environment transforming at pace, I’m confident that our APEX Data Storage Services will provide immediate access to storage capacity which organisations require in a data-driven age. The Dell Technologies team will be supporting Irish customers in their Storage as-a-Service decisions over the coming months and work with them to simplify their storage need.”
How APEX Data Storage Services works
Organisations can select from three performance tiers for APEX Block and File Services, available in one- or three-year terms, with base capacity options starting as low as 50 terabytes. Customers can easily procure their data storage resources through the APEX Console, a web-based tool that provides a single, seamless experience for customers to navigate their cloud and as-a-Service journey.
Customers can monitor capacity, performance and usage costs in real time, and update their subscriptions as needed. A recent Dell-commissioned Forrester Consulting study on APEX Data Storage Services shows customers can significantly reduce storage planning and provisioning costs while improving efficiency of storage professionals.
Channel partner opportunities in Ireland
APEX creates opportunities for channel partners to offer customers flexible and simplified IT solutions. With APEX Data Storage Services expanded availability, Dell Technologies Solution Providers and Storage Authorized Distributors in Ireland are able to earn incentives when selling these solutions on a referral basis. Cloud Service Provider partners also can host enhanced APEX Data Storage Services on behalf of customers.
Cycling technology company See.Sense are proud to announce that their newest bike light, ICON3, will be the first bike light to the market, where key design elements are decided by the customer.
See.Sense, who have a successful track record of crowd-funded product campaigns, have taken customer input to a new level for their launch of their latest reactive and smart bike light, ICON3, by allowing their community to choose key design elements such as the mount, and charging connection as well as flash modes just prior to the light going into production.
The gamble has paid off, with their community flocking to back the product, smashing their funding target in only four hours, and with ICON3 going on to be 385% funded to date (with the campaign still live). On reaching the mid-point of the campaign, See.Sense surveyed the backers (who have already pre-ordered the product) on their preferences for key design elements. Taking this customer-led design feedback into account, See.Sense are pleased to announce the mount, charging and flash modes chosen by the crowd for ICON3:
Mounting: new popular ‘twist and lock’ mechanism, similar to See.Sense BEAM lights, and which is a departure from ICON2
USB-C Charging: A move from micro USB to USB-C is now confirmed.
ICON3 Flash Modes: See.Sense will introduce an all new ‘Super Visibility Mode’ as well as a new ‘Light Sensing Mode’ , designed for optimal daylight visibility. This is in addition to the existing ‘Brake Mode’ and ‘Get Me Home Mode’ (which provides at least 1 more hour run time to get you home when battery levels are low).
Philip McAleese, CEO of See.Sense said, “Customer-led design has always been important to us, but we are delighted to take this further than we have ever done before, by allowing key design decisions to be influenced by our community mid-campaign. As an innovative and dynamic company, this really sets us apart from our competitors, by showing our customers we listen and truly respond to their needs”.
In addition to the abovementioned additions, the ICON3 light is also brighter than ever before. Through a combination of a CoB (chip on board) and two quality-focused LEDS, ICON3 produces a powerfully bright 575 lumens in the front and 350 lumens in the rear, their brightest ‘to be seen light’ so far.
The ICON3 campaign will close on Sunday 7th February 2022. For any cyclists who were waiting on the final product decisions, now is the time to pre-order ICON3 at the best possible prices with delivery scheduled for April 2022: https://bit.ly/3rnMKIe
Twelve South, an innovative Apple accessories designer, today introduces the ActionBand, a machine-washable wristband that provides a wrist-friendly way to workout with the Apple Watch. Made from flexible terry cotton, the ActionBand comfortably hugs the wrist, absorbing sweat and keeping the user and the watch dry while they work to close their activity/fitness rings. ActionBand can also be comfortably worn on the forearm or bicep, ideal for activities that involve the wrist.
Unlike the traditional Apple Watch band, the ActionBand has a protective frame to keep the Apple Watch safe from knocks and scratches while exercising. Comfortable to wear, the ActionBand keeps the device securely pressed against the user’s skin, making it easy to track their progress and providing full access to the Digital Crown and Side Button. Switching to the ActionBand for a workout will also mean that a user’s day-to-day Apple Watch band will stay clean and dry.
The ActionBand comes with a pair of machine-washable wristbands in the box, one with an Apple Watch frame, one without. Thanks to a blend of Lycra, ActionBand has enough stretch in it to position on the forearm, giving users the option to move the Apple Watch off the wrist if they prefer. Its thick cotton material soaks up sweat, keeping hands dry and making it easier to keep a firm grip on barbells, free weights, cardio equipment or a tennis racquet.
The ActionBand is available now for £24.99 from Amazon.co.uk. It is currently compatible with Apple Watch Series 4, 5, 6 & SE (both 40mm & 44mm) with Series 7 compatibility coming soon.
