COPR is a collection of personal repositories for software that isn’t carried in the standard Fedora repositories. Some software doesn’t conform to standards that allow easy packaging. Or it may not meet other Fedora standards, despite being free and open source. COPR can offer these projects outside the standard set of Fedora Fedora packages. Software in COPR isn’t supported by Fedora infrastructure or signed by the project. However, it can be a neat way to try new or experimental software.

Here’s a set of new and interesting projects in COPR.

GitKraken

GitKraken is a useful git client for people who prefer a graphical interface over command-line, providing all the features you expect. Additionally, GitKraken can create repositories and files, and has a built-in editor. A useful feature of GitKraken is the ability to stage lines or hunks of files, and to switch between branches fast. However, in some cases, you may experience performance issues with larger projects.

Installation instructions

The repo currently provides GitKraken for Fedora 27, 28, 29 and Rawhide, and for OpenSUSE Tumbleweed. To install GitKraken, use these commands:

sudo dnf copr enable elken/gitkraken sudo dnf install gitkraken

Music On Console

Music On Console player, or mocp, is a simple console audio player. It has an interface similar to the Midnight Commander and is easy use. You simply navigate to a directory with music files and select a file or directory to play. In addition, mocp provides a set of commands, allowing it to be controlled directly from command line.

Installation instructions

The repo currently provides Music On Console player for Fedora 28 and 29. To install mocp, use these commands:

sudo dnf copr enable Krzystof/Moc sudo dnf install moc

cnping

Cnping is a small graphical ping tool for IPv4, useful for visualization of changes in round-trip time. It offers an option to control the time period between each packet as well as the size of data sent. In addition to the graph shown, cnping provides basic statistics on round-trip times and packet loss.

Installation instructions

The repo currently provides cnping for Fedora 27, 28, 29 and Rawhide. To install cnping, use these commands:

sudo dnf copr enable dreua/cnping sudo dnf install cnping

Pdfsandwich

Pdfsandwich is a tool for adding text to PDF files which contain text in an image form — such as scanned books. It uses optical character recognition (OCR) to create an additional layer with the recognized text behind the original page. This can be useful for copying and working with the text.

Installation instructions

The repo currently provides pdfsandwich for Fedora 27, 28, 29 and Rawhide, and for EPEL 7. To install pdfsandwich, use these commands:

sudo dnf copr enable merlinm/pdfsandwich sudo dnf install pdfsandwich

By AppleInsider Staff
Wednesday, October 24, 2018, 06:09 pm PT (09:09 pm ET)

Apple on Wednesday pushed out an update to its Apple Events app for Apple TV, urging users to tune into a livestream of an Oct. 30 media event in New York.

As it does prior to every major livestreamed press gathering, Apple gave the Apple Events app a fresh coat of paint to mark the upcoming New York City keynote, at which the company is expected to unveiling iPad Pro and Mac hardware.

In addition to a purplish background hue, the app features logo artwork pulled from one of the more than 350 unique invitations sent out to media last week. Beyond artistic renderings of Apple’s logo, which strongly suggest an announcement related to iPad Pro and Apple Pencil, the announcements include the tagline “There’s more in the making.”

“Watch the special event — live from Brooklyn Academy of Music, Howard Gilman Opera House in Brooklyn, New York — at [local time].”

Similar to past events, the tvOS app presents local livestream viewing times using collected location information, making it easy to plan for the big day. Apple is also streaming the event to select retail stores as special Today at Apple sessions.

Apple is widely expected to launch revamped iPad Pro models on Oct. 30. The new slates are rumored to come in 12.9- and 11-inch sizes, and feature a full-face design with reduced bezels thanks to Face ID integration. A second-generation Apple Pencil is also anticipated.

Refreshes to the iMac, MacBook and — potentially — Mac mini lines are also in the offing.

AppleInsider will be attending Apple’s “There’s more in the making” event on Oct 30th, where we expect new iPad Pros, and maybe even new Macs! Keep up with our coverage by downloading the AppleInsider app for iOS, and follow us on YouTube, Twitter @appleinsider and Facebook for live, late-breaking coverage. You can also check out our official Instagram account for exclusive photos.

Every year over-optimistic newspaper headlines promise an Indian summer, only for August to be meekly followed by a shivery and soggy September. Happily, when Pocket Tactics promises an Indian summer we are true to our word. So, pull on your boots and let’s take a timely hike through the glorious autumnal woodland of New England.

Indian Summer is the second part of Uwe Rosenberg’s puzzle trilogy and follows 2016’s Cottage Garden, strangely Uwe’s Patchwork, which shares many similarities isn’t considered part of the series. The game shares the same tile-laying, grid-filling gameplay of the aforementioned titles but this time the action is geared towards more experienced players.

The aim of Indian Summer is to fill your section of the forest floor with leaf tiles, foraging for “treasures” and attracting wildlife as you go. Each player has a forest board that is divided into six sections. Boards feature a random assortment of mushrooms, berries, nuts and feathers that once collected can be used to trigger special powers. 

Players begin the game with a collection of five leaf tiles; these are Tetris-style pieces that players take turns placing on their boards. Tiles are colour coded and are three, four or five squares in size. The innovation is that much like a Polo mint, each tile has a hole. Ideally, you want to place a tile so that a woodland treasure can be seen through the hole. When a player manages to complete an entire section of the board all of the visible treasures in that sector will be harvested.

Mushrooms, berries, nuts and feathers may not be most people’s idea of treasures, but in Indian Summer they can prove to be extremely useful. Normally, you only refill your store of tiles when you place your fifth and final one, but use a berry and you can replenish your supply right away. Since there is a visible trail of tiles, you will know exactly which tiles you will be drafting, so you do not have to rely on a blind draw. Nuts attract squirrels, which can be placed on your board to fill a single square. Mushrooms allow you to steal a tile from two other players and immediately place them. Feathers allow a player to place two tiles from their supply in a single turn. You can exchange treasures based on their respective values, for instance, it would cost three berries to acquire a single feather.

Woodland wouldn’t be woodland without its fair share of critters. On your turn instead of laying a tile, you can instead place a squirrel. These are useful to fill those spaces that are too small to accommodate a leaf tile. There are also seven other types of animal tile that you can attract to your woodland habitat. Only one of these can be placed each turn and their numbers are strictly limited. Animal tiles can only be placed if you can overlay their shape with the corresponding vacant holes on your player board. Placing an animal over harvested treasures has the benefit of allowing them to be collected for the second time.

Indian Summer is a pure race game; there is no point scoring to worry about. The end of the game is triggered as soon as a player completes their board. The current round is played out to its conclusion before everyone has a final opportunity to trade in their treasures for squirrels, which can be used to fill in gaps. Players who are still unable to complete their forest floor lose. If more than one player has finished their woodland then the player who has the most remaining nuts wins. 

By now, Digidiced have pretty much nailed the tile-laying format. The game is well laid out and the controls are both smooth and responsive. There are still a couple of niggles: the tutorial could be clearer in places and the way that the interface handles the exchange of treasures takes some getting used to, however these are very minor faults. The presentation is charming with some cute animal animations and a lovely autumnal palette that replicates the board game perfectly. The laid-back acoustic music also complements the mellow atmosphere. The menu options adhere closely to the Digidiced standard, with pass and play, casual and ranked online matches available. The AI will give new players a decent challenge, although on the hardest level it does require a bit of thinking time.

A range of different player boards enhances replayability, although games do tend to follow a similar path. Indian Summer is a race, so acquiring the feather and doubling down by ensuring that you can overlay it with an animal tile, seems like a pretty solid way to go. Luck only plays a small part, and the deceptively simple but nuanced gameplay should appeal to a wide range of players. The tile stealing aspect may put some players off, but in fact, it feels more like an opportunity for the stealer to place an extra tile rather than a way of scuppering your opponents. The game plays well at all player counts, although pass and play games can grind to a halt if you include players who have a tendency to over-analyse their moves.

Indian Summer is yet another high quality digital board game conversion. The ability to swap and change treasures really adds an extra dimension to the tile placement gameplay. Choosing the perfect moment to use a mushroom to snatch a couple of juicy tiles from your opponents is highly satisfying. The exchange mechanic will also have you thinking, as you weigh up the benefits of using a berry to refill your hand, or save up and trade them in for something potentially more powerful. Players are not only racing to fill their board but also to complete and harvest individual sectors. So, although the general atmosphere is fairly laid back there is still a tangible tension to proceedings.

Microsoft’s first quarter earnings show that we continue to gain momentum with enterprise customers across industries and solution areas. That momentum reflects a steadfast commitment to customer success, whether through cross-industry partnerships or through cloud- and AI-driven innovations that are transforming how organizations are building competitive advantages and creating value for their own customers.

On the partnership front this past quarter, Microsoft joined with Adobe and SAP to launch the Open Data Initiative. The initiative aims to address one of the biggest challenges facing organizations today: barriers between customer interaction data and operational data that limit the ability to create connections, identify insights and extract value from data in real time for a better overall customer experience. I am thrilled to share that consumer product leaders like Unilever, the Coca-Cola Company and Walmart have already expressed their interest and support for the initiative.

On the cloud and AI front, we are seeing organizations as varied as Mastercard, Volkswagen Group,  Buhler, Grab and Sodexo embrace these technologies to drive innovation in payment processing, connected cars, ride-hailing apps, food safety and facility management. These customers recognize the advantage of having a consistent computing stack from the cloud to the edge — and they are not alone. In fact, there are several examples of customer innovation that impressed me in Q1. Here are a few:

Belgium-based brewer Anheuser-Busch InBev, whose operations range from a Beer Garage in Silicon Valley and a Global Analytics Center in Bangalore, India, is moving its IT operations to the cloud to drive commercial and operational growth and increase sustainability. The cloud has enabled the beer giant to build a global analytics platform that breaks down data silos for greater insights into its business operations.

Shell is investing in Azure, IoT and AI, including machine vision, to maximize productivity across its drilling equipment and make operations safer for customers and service champions at its 44,000 gas stations. Specifically, Shell is piloting a new cloud-based, deep learning solution that uses closed-circuit camera footage and IoT to automatically identify safety hazards and alert service champions for quick response and elimination of potential problems. Shell also announced C3 IOT and Microsoft as its official AI partner with C3 IoT on Azure.

IoT also is at the heart of CBRE’s efforts to use space more efficiently and improve the tenant experience. The world’s largest commercial real estate services firm is equipping buildings with heat and motion sensors for a better understanding of workplaces. Those sensors allow employees to see in real-time if spaces are open even if Exchange shows they are booked. The firm has also launched CBRE 360, a mobile app built on top of the Azure Digital Twins solution that enables employees to search for meeting rooms and with specific requirements like a Surface Hub or a Skype Room System.

Energy leader Chevron is already seeing measurable results after deploying hundreds of HoloLens devices across its global operations. The deployment means that instead of, say, a Houston-based Chevron inspector traveling monthly to a facility in Singapore to inspect equipment, Chevron can today perform real-time inspections using Dynamics 365 Remote Assist and identify issues or provide approvals immediately.

In the financial services industry, Nasdaq announced it is running its MarketSite streaming services on Azure, with plans to expand its iconic Times Square MarketSite experience to locations in San Francisco, Stockholm, Sydney and Bangalore, India. Nasdaq MarketSite is known for the dramatic video tower that illuminates Times Square with 19 million LEDs and seven stories of multimedia screens. MarketSite also includes full event experiences for companies listing on the exchange.

When we look at how businesses get work done, Microsoft 365 helps organizations of all sizes, from Goodyear to Rogers, empower their employees in the modern workplace. Rogers, a leading diversified Canadian communications and media company, has built a collaborative, agile, and productive workplace with Microsoft 365 and Windows 10 for its 26,000 employees. Microsoft’s modern workplace solutions have allowed Rogers to simplify its IT environment, meet security needs, and enable employee productivity and communication anywhere, on any device.

These examples only scratch the surface of the cloud- and AI-driven innovations taking place across every industry and every geography. They demonstrate how digital transformation can bring together people, data and processes in a way that generates value and competitive advantage. At Microsoft, my colleagues and I could not be more honored to partner with these organizations on their digital journey as they innovate the future of business.

Tags: AI, Azure, data, financial services, IoT, Microsoft 365, Surface, Windows 10

Welcome to How AI Transform Business, a new series featuring insights from conversations with Microsoft partners who are combining deep industry knowledge with AI in novel ways and, in doing so, creating leading-edge intelligent business solutions for our digital age.

Our first episode features eSmart Systems, which is in the business of creating solutions to accelerate global progress towards sustainable societies. Headquartered in the heart of Østfold county, Norway, eSmart Systems develops digital intelligence for the energy industry and for smart communities. The company is strategically co-located with the NCE Smart Energy Markets cluster and the Østfold University College and thrives in a very innovative environment. When it comes to next-generation grid management systems, or efficiently running operations for the connected cities of the future or driving citizen engagement, the company is at the forefront of digital transformation.

We recently caught up with Davide Roverso, Chief Analytics Officer at eSmart Systems. Davide has many interesting things to share about where and how AI is being applied in the infrastructure industry. Among other things, he talks about how utilities companies are forced to fly manned helicopters missions over live electrical power lines today, just to perform routine inspections, and how – using AI – it is possible to have safer and more effective inspections that do not expose humans to this sort of risk.

Davide Roverso, Chief Analytics Officer, eSmart Systems, in conversation with Joseph Sirosh,
Chief Technology Officer of Artificial Intelligence in Microsoft’s Worldwide Commercial Business.

Video and podcasts versions of this session are available via the links below. Alternatively – just continue reading a transcript of their conversation below.

Joseph Sirosh: Davide, would you tell a little about eSmart Systems and yourself?

Davide Roverso: eSmart Systems is a small Norwegian startup, was established in 2013. The main area in which we work is building SaaS for the energy and utilities sector. So basically, it was founded by a group of people that had been working together for over 20 years in the energy and utilities space. They were first working a lot on power exchange software, and delivered power exchange to California, among others. And then, about 2012, they went for a kind of exploration trip to the US, to Silicon Valley and that area, and they visited Google and Amazon and Microsoft and Cloudera and tried to find what were the new biggest trends. And they came back home with a clear idea that they had to focus on cloud and AI. And of course, they used that in their core business and that was power and utilities.

So that’s how eSmart Systems started.

JS: And so, you have an analytics team, or now is it an AI team?

DR: We have 10 data scientists, so more than 10% of the company is data scientists, so we have a big focus on AI. When I started in eSmart Systems about three years ago we were just two, so I built quite a good group since then. And we use machine learning in a lot of different areas. Two main areas are specifically time series analysis and predictions, and the other is more on analyzing images – we use that for inspecting, for instance, power lines with drones.

JS: You must have a lot of interesting projects. So, tell me, in the power and utilities industry, where is AI used?

DR: Well, we mainly work with the DSOs, distribution system operators, which are kind of responsible for distributing power to end users. Up to few years ago they were basically operating blind because the last lowest voltage network is not instrumented. But since the introduction of smart meters, every home now – well in most of the European countries they are rolling out smart meters and the same in most of the US – every home now basically has a sensor. So now, suddenly they have much more data they can use to more intelligently steer the grid. So, there AI we use mostly to make predictions of loads and consumption from different types of customers, both household and industry customers.

And this is very important information, especially now, with the large introduction of distribution energy resources – all the renewables that are coming online. A lot of people are installing solar panels on the roofs. A lot of end users are now what we call prosumers, so they both produce and consume electricity, so there’s a two-way flow of power and data. So, there are lots of opportunities to optimize this new kind of smart grid that is becoming more and more widespread now.

JS: Very interesting. So, what are some of the most exciting AI applications that you have seen now in the power industry and in what you are doing?

DR: We are developing some very exciting applications in the space of inspections. We are combining AI with drones. Of course, the electrical infrastructure is relatively old and requires quite a lot of maintenance and inspections. And, so far, these inspections have been mostly done manually, so periodically people actually walk along the lines and climb up the poles and check infrastructure. And the last few years they have started using helicopters, and they fly helicopters – quite dangerous missions because they have to be quite close to the power lines, and every year there are reports of near incidents. So, it is quite an expensive process, but it is, of course, necessary, and even more necessary as the infrastructure ages even more.

So, the idea here is to use drones to have a cheaper, more effective inspection. And here, it is very exciting to use all the new technology that we have today for this kind of image intelligence that we have, with deep networks and convolutional neural networks. So, recognizing infrastructure, recognizing different types of faults and anomalies.

JS: And so, how do you use the cloud?

DR: Our systems are basically deployed in the cloud. So, the smart meter / smart grid systems, they collect data from smart meters and upload everything in the cloud. And all the analysis – all the machine learning and AI – happens in the cloud. And the same for the drones. Well, there are different missions. If it’s kind of a periodic inspection, then time is not the big issue, you can analyze the images in batch, and then we use cloud for that. So, we upload – it can be hundreds of thousands of images – and process them in the cloud.

JS: So, what is the advantage that cloud brings you, cloud and AI together?

DR: It is scalability. Regardless of how many drones or how many pictures our customers are sending to the systems, we are able to serve those.

JS: Near instantly being able to provision as many resources as you want. Okay, that’s very good.

DR: Also, edge is very important, it’s not just the cloud, the intelligent…

JS: Intelligent cloud and intelligent edge.

DR: Because if you’re on a mission for finding a fault or outage as quickly as possible then you need intelligence on the edge. And you also need that if you want to have autonomous drones, of course. Because today, we still don’t have fully autonomous drones – we still have pilots that remotely pilot the drones – but of course, the longer-term vision is to have fully autonomous drones.

JS: So, have you developed a prototype of autonomous drones that can follow power lines?

DR: Yes, to follow power lines and then position itself in the optimum spots to take the correct pictures for the detailed inspection. So the drone is not doing the detailed inspection – that happens in the cloud – but is using edge AI to localize the components, the assets that we need to inspect and take the right pictures and then move on to the next.

JS: Is AI scary?

DR: Not today. But it can be, in the future, you know. Your probably read Bostrom’s book “Superintelligence” that came out in 2014, I think. So, he envisioned like a superintelligence that will take over, and we will not even notice that because it will come so fast we won’t realize. But this is a long time away. But anyway, today there are philosophical and ethical questions that are important to ask ourselves. And there are big institutes both in the UK and in the US that focus on that, so that’s important. But todays technologies can be weaponized in a way, so there is that kind of scary side of it, of using AI without ethical controls, for autonomous weapons. So, there are some initiatives there. In my opinion, there should be an international agreement on how to control autonomy.

JS: But all technologies are the same way, I would think.

DR: Of course.

JS: What are some of the most exciting AI developments you have seen recently?

DR: Well, of course, all the developments around visual intelligence as I call it – so all the analysis of images, segmentation, detecting objects, and things like that with deep neural networks, and convolutional neural networks – it’s very exciting. And one very exciting development is, of course, self-driving cars. That, for me, is very exciting, and I use it a lot as an example in my presentations because it both showcases vision development / technological development but also its an application that basically touches almost everyone. Everyone drives a car, at least in the developed world, so it’s one of the applications that will come – that we will feel – much more quickly than other ones. But, of course, all the developments around language and speech recognition, and all these new intelligent systems and bots that are coming, it’s very exciting developments. From the research point of view, I like a lot of what is happening around the games and gaming in AI. You know, we both started working on AI in the nineties, and at that time, well since the beginning, AI has been applied to games – from checkers, and then chess, Deep Blue beating Kasparov in ’97, and then, more recently, of course, AlphaGo, and AlphaZero, even more exciting and now the latest one with Open AI playing Dota 2 – so, it’s a very nice way of developing new concepts. It doesn’t have direct applications in the real world, but it develops kind of fundamental capabilities that real world systems are going to need.

JS: Any thoughts about the applications of AI outside of the power industry, some of the most exciting other areas that you might be able to go into?

DR: Yeah, well – basically all the work that we are doing both around images and inspections is applicable to other…

JS: … all types of inspections. Yeah, one thing I heard sometime recently was about inspecting for lightning strikes on aircraft. And they were looking to see if you can use AI to identify, because today again somebody has to climb the airplane and go look at spots and see if there has been a lightning strike.

DR: Or inspecting like pipelines, or railways – any kind of infrastructure.

JS: Or even assets, even just counting assets, is one thing I heard, which was interesting.

DR: Almost limitless amount of applications.

JS: Very exciting. Any concluding thoughts on AI and its applications?

DR: Well, it’s very exciting times. I’ve been working in AI for 30 years and finally we see a lot of traction, and we see an explosion of applications and interest and money nonetheless coming into AI. And real applications that are both helpful and exciting.

JS: And do you think AI is being democratized – made available to software developers much more easily?

DR: Yeah, definitely. Today, basically anyone can experiment with AI. Maybe it’s still difficult to make an application that is production-ready if you are not a data scientist because you can fall in many places – you can make a lot of mistakes if you don’t know what you’re doing. But you can experiment and generate something useful in a much easier way than before. So, there’s been a lot of progress around that and there is going to be more progress – I cannot even say in the years to come, just weeks!

JS: Wonderful, it’s been a pleasure talking to you.

DR: Thank you, it’s been a pleasure.

We hope you enjoyed this post. This being our first episode in the series, we are eager to hear your feedback, so please share your thoughts and ideas below.

The AI / ML Blog Team

Resources

The Linux Foundation’s EdgeX Foundry project for developing open source edge computing middleware has released its first developer kit. The Ubuntu-based kit is built around an octa-core Samsung Artik 710 Starter Kit teamed with a GrovePi+ I/O board. Future kits will include an Artik 530 kit, and eventually, a Raspberry Pi/GrovePi+ combination.

At the recent IoT Solutions World Congress, the EdgeX Foundry project also announced nine new members, including Intel, and debuted a Smart Building Automation Use Case Community Demo. The demo showed off the platform’s ability to bring together heterogeneous solution components, including different vendors, connectivity standards, operating systems, and hardware types. 

EdgeX Foundry was announced in 2017, with a goal of developing a standardized, open source interoperability framework for IoT edge computing. In August, the project released a v2 ”California” version of the middleware, which will be succeeded by a “Delhi” release in November. Delhi will provide EdgeX’s first management features, as well as improved security features such as access control and security bootstrapping. It will also offer C and Golang-based Device Service SDKs and a reference GUI.

Based largely on technology created by Dell, EdgeX Foundry is creating and certifying an ecosystem of interoperable, plug-and-play components to create an open source EdgeX stack for IoT edge computing. The cross-platform middleware will mediate between multiple sensor network messaging protocols as well as multiple cloud and analytics platforms.

Dell is one of three Platinum members alongside Analog Devices and Samsung. With the new additions, the membership has reached 70. The new members are Basking Automation, Beijing University of Posts and Telecommunications (BUPT), DATA AHEAD, CertusNet, Intel Corp., Redis Labs, the Federal University of Campina Grande (UFCG) /Embedded Lab, Windmill Enterprise, and ZEDEDA. Previous members include AMD, Canonical, Cloud Foundry, Linaro, Mocana, NetFoundry, and VMware.

EdgeX developer kits

The Artik 710 based EdgeX developer kit is initially available as a community-supported product. Developers independently purchase the kit from Samsung and download the upcoming EdgeX Delhi software from the EdgeX repository on GitHub. Informal, community-based tech support is available via forums like the EdgeX Rocket Chat.

This initial kit, as well as future kits, will also soon be available as part of a commercial track that offers professional support. The commercial kits are designed primarily for EdgeX members but are available to anyone. Commercial options will include “kits based on supported versions of the EdgeX framework itself (neutral to any plug-in value add), kits based on specific IoT platforms, and microservice plug-ins for value-add such as analytics, data orchestration and security,” says the project.

Samsung’s Artik 710 and Artik 530, which will form the basis of an upcoming EdgeX kit, switched their BSPs from Fedora to Ubuntu in Oct. 2017. The Artik 710 module features a 1.4GHz, octa-core, -A53 SoC with a Mali T400 GPU while the Artik 530 has a 1.2GHz, quad-core, -A9 SoC. Both include hardware security elements.

The 49x36mm modules integrate 1GB DDR3 RAM, 4GB eMMC flash, and an Ethernet PHY. They also include dual-band 802.11a/b/g/n (WiFi 4), Bluetooth 4.2, and Zigbee/Thread (802.15.4).

The Artik 710 Developer Kit is a double board set. The Interposer Board provides the Artik 710 plus Gigabit Ethernet, micro-HDMI, and micro-USB OTG ports. There’s also an LVDS interface and antenna connectors. The Platform Board sits under the Interposer board and provides a USB 2.0 host port, SD slot, audio jack, JTAG, 5V DC input, and MIPI-CSI and -DSI connections.

The EdgeX version of the Artik 710 kit also includes the optional Artik Interface II Board, which connects the bundled Seeed GrovePi+ I/O board. The GrovePi+ Starter Kit also provides a dozen Grove sensors and LEDs, plus a backlit LCD, buzzer, relay, and button.

The GrovePi+ Starter Kit is also part of Samsung’s GrovePi+ Starter Kit for Eagleye 530 board, which will form the basis of the upcoming Artik 530 kit. Unlike the Artik 710 kit, the Artik 530 equipped Eagleye 530 is a single board with a Raspberry Pi like layout, footprint, and 40-pin GPIO interface. The Eagleye 530 is further equipped with GbE and HDMI ports, 2x USB 2.0 ports, and micro-USB OTG and power ports. There’s also an SD slot, audio jack, and MIPI-CSI camera interface. Unlike the Artik 710 kit, the Eagleye 530 does not require the Interface II Board to hook up the bundled GrovePi+ board.

The GrovePi+ board will also be available in a future EdgeX kit that runs on the GrovePi+ Starter Kit for Raspberry Pi. Other development kits are also under consideration. Even if Intel had not joined the project, one of them was likely to provide an x86 chip.

“Intel’s involvement in EdgeX Foundry will help drive scale and accessibility of solutions for both our customers and businesses of all sizes,” stated Stacey Shulman, Intel’s chief innovation officer for Retail Solutions.