The content below is taken from the original (Fitbit’s Ionic smartwatch will help diabetics track glucose levels), to continue reading please visit the site. Remember to respect the Author & Copyright.

Fitbit is pairing up with Dexcom, a company that creates continuous glucose monitoring (CGM) devices for people with diabetes. In an announcement today, the companies say that their first initiative is to bring Dexcom’s monitoring device data to Fitbit’s new Ionic smartwatch.

For those unfamiliar, Dexcom’s CGM devices work with a sensor that sits just under the skin and measures a person’s glucose levels every few minutes in order to provide them with a bigger picture of where their glucose levels are and where they’re heading. As of now, a transmitter attached to that sensor lets you see readouts of those levels on a smartphone or even an Apple Watch, but soon you’ll also be able to see them on Ionic’s screen.

Dexcom and Fitbit say they’re hoping to get this feature available to Ionic users in 2018 and are working to develop other diabetes management tools in the future. "We believe that providing Dexcom CGM data on Fitbit Ionic, and making that experience available to users of both Android and iOS devices, will have a positive impact on the way people manage their diabetes," said Dexcom’s CEO, Kevin Sayer, in a statement.

Source: Fitbit and Dexcom

The content below is taken from the original (Huawei developing NMVe over IP SSD), to continue reading please visit the site. Remember to respect the Author & Copyright.

The content below is taken from the original (The Trainline is using big data to predict when ticket prices rise), to continue reading please visit the site. Remember to respect the Author & Copyright.

Just like flights, hotels and Uber rides, train ticket prices rise when rail operators anticipate there will be increased demand for their services. It often leaves passengers scrambling to find a combination of tickets that won’t break the bank, even when they’re booking weeks before they travel. Train companies obviously want to protect profits by keeping their pricing structures a secret, but independent ticket retailer The Trainline believes it can now accurately predict when things will start to get expensive.

Appearing in The Trainline app from today, the Price Prediction tool uses the company’s "billions of data points" to suggest when ticket prices will rise. When a user performs a search for a specific route, the app will list the cheapest price, indicate when the route could sell out and then list incremental price changes depending on the date of booking.

"Our data scientists have used historical pricing trends from billions of customer journey searches to predict when the price of an Advance ticket will expire. We now share this information in our app to allow our customers to get the best price possible for their journey," Jon Moore, Chief Product Officer at Trainline said. "We’re introducing more advanced machine learning every day so naturally our predictions will get increasingly accurate. Our mission is to make train travel as simple as possible and price prediction is the first in a long line of predictive features we have planned to help customers save time and money."

To demonstrate its tool, the company took an Advance single fare between London Euston and Manchester Piccadilly. If booked 80 days before the day of travel, that ticket will cost £32, rising to £38 at 41 days before. Wait until 13 days before and the price rises again to £42, then more than doubles 48 hours beforehand. On the day, that 160 mile journey will cost a whopping £126.

The feature isn’t particularly groundbreaking, lots of companies provide similar tools for travel and accommodation all over the world. However, The Trainline is the UK’s biggest independent ticket retailer and processes 125,000 customer journeys across Europe every day, meaning it has a better understanding of the nation’s train travel habits than most.

Booking months in advance will always deliver the most value, but if you’re umming and ahhing over whether to book that ticket, the company’s new tool could provide some further clarity on the situation.

Source: Trainline (App Store), (Google Play)

The content below is taken from the original (British Library exhibit to highlight the sounds it’s fighting to save), to continue reading please visit the site. Remember to respect the Author & Copyright.

Last year, the British Library began the "Save our Sounds" project, with the aim of accelerating the digitisation of millions upon millions of lost audio recordings held in its vast archive. The collection includes many rare and previously unreleased recordings of everything from speeches and music to wildlife, street sounds and pirate radio broadcasts. In some respects, it’s a race against the clock. Time is taking its toll on ancient formats like the wax cylinder, for example, and the equipment needed to play some formats is extremely hard to come by. There’s much to be done, but next month the British Library is celebrating achievements thus far with a free exhibition that "will explore how sound has shaped and influenced our lives since the phonograph was invented in 1877."

"Listen: 140 Years of Recorded Sound" runs from October 6th to March 11th, 2018, and complements the 90,000-plus recordings the British Library has already preserved and made available online. The exhibition, which’ll be joined by various events, will include curiosities such as the "wireless log" of Alfred Taylor, who at 16 years of age, recorded the 1922 equivalent of a vlog. Key moments in sound will be celebrated, such as the formation of the BBC and pop charts, and artifacts such as rare records, players and recording equipment will also be on display, "exploring how technology has transformed our listening experience."

Source: British Library

The content below is taken from the original (Uber Movement’s traffic data is now available to the public), to continue reading please visit the site. Remember to respect the Author & Copyright.

Back in January, Uber announced that it’s giving urban planners access to a website with traffic data of their cities. Now that website is out of beta, and anybody can access it anytime. The Uber Movement website can show you how long it takes to get from one part of a city to another based on the day of the week and the time of day. People like you and me can consult it for realistic travel times, since its data came from actual Uber trips. However, its real purpose is to help city officials and planners figure out how to improve their transit systems.

Despite its good intentions and the anonymized data, the project wasn’t met with the warm reception Uber expected. The company has a pretty bad track record when it comes to privacy, after all. If you’ll recall, the New York Attorney General’s office discovered a few years ago that Uber’s corporate employees could track passengers’ rides and logs of their trips through the "God View" app. Uber had to purge riders’ identifiable info from its system and limit the app’s access to settle the probe. More recently, the ride-hailing firm had to change an app setting that tracked customers five minutes after their rides end after pressure from privacy groups.

At this point in time, Uber Movement only has data on Boston, Washington DC, Manila and Sydney. If it doesn’t want to put the project in jeopardy — because it will add more cities in the future — it has to be very, very careful with the data it collects.

Via: TechCrunch

Source: Uber Movement

The content below is taken from the original (Amazon Announces Updates to AppStream 2.0, including Domain Join, Simple Network Setup, and More), to continue reading please visit the site. Remember to respect the Author & Copyright.

In a recent post on the AWS blog, Amazon announced several updates to their application streaming service, AppStream 2.0. These updates span several different areas related to application streaming, such as domain management, file storage, and audio streaming.

One of the updates included in the announcement is a feature called “Domain Join”, which allows users to connect their AppStream 2.0 streaming instances to a Microsoft Active Directory domain. With this feature, existing Active Directory policies can be applied to one’s streaming instances, enabling application users to use single sign on to access to a variety of devices and services across an internal network.

Related to the new “Domain Join” feature in AppStream 2.0, users can make use of the new user management features found within the service’s web portal. This includes the ability to create and manage user accounts, send “welcome” emails, and provides access to whichever applications a user has access to.

Another new feature that Amazon announced is the ability to store files for use in future AppStream 2.0 sessions, which can be useful to those who want to simply pick back up where they left off within an application. Files that are stored will be made available at the beginning of a user’s next session and any updates to these files are periodically synced back to the Amazon S3 folder that is automatically created when this persistent storage feature is enabled. It’s important to note, however, that users of this service are required to pay for the storage that they use, at the standard Amazon S3 rates.

Amazon also announced a simpler way to set up and configure network and internet access for streaming instances and for AppStream’s image builder. This simplified network setup process can be accessed right from the AppStream console by selecting a public subnet from a VPC that has at least one subnet available. Users can also configure custom security groups for VPCs, which can then be applied to image builders and fleets. No longer do users have to configure NAT gateways or traffic routing rules, which eliminates a great deal of the complexity involved in configuring application streaming, thus saving an organization time and money.

Another update included in the announcement was that AppStream 2.0 now supports both analog and digital microphones, mixing consoles, and other audio input devices for use with streaming applications. This feature can be enabled by going to the AppStream 2.0 toolbar and choosing the “Enable Microphone” option.

All of the above features are available in Amazon AppStream 2.0 as of August 23rd, and can be used in all AWS regions where AppStream 2.0 is available.

While application streaming can make distributing and maintaining software within an organization easier, it’s not without its share of complexities. However, services like Amazon AppStream 2.0 can make this process easier on admins, as they can easily manage all aspects of the application streaming process, providing users with up-to-date versions of the applications they need, wherever they may be. And with Amazon’s recent updates to AppStream 2.0, the application streaming process has gotten even easier for admins to configure and manage, especially for those in large organizations where application streaming makes more sense than a traditional local software installation.

The post Amazon Announces Updates to AppStream 2.0, including Domain Join, Simple Network Setup, and More appeared first on Petri.

The content below is taken from the original (Deadline 10 – Launch a Rendering Fleet in AWS), to continue reading please visit the site. Remember to respect the Author & Copyright.

Graphical rendering is a compute-intensive task that is, as they say, embarrassingly parallel. Looked at another way, this means that there’s a more or less linear relationship between the number of processors that are working on the problem and the overall wall-clock time that it takes to complete the task. In a creative endeavor such as movie-making, getting the results faster spurs creativity, improves the feedback loop, gives you time to make more iterations and trials, and leads to a better result. Even if you have a render farm in-house, you may still want to turn to the cloud in order to gain access to more compute power at peak times. Once you do this, the next challenge is to manage the combination of in-house resources, cloud resources, and the digital assets in a unified fashion.

Deadline 10
Earlier this week we launched Deadline 10, a powerful render management system. Building on technology that we brought on board with the acquisition of Thinkbox Software, Deadline 10 is designed to extend existing on-premises rendering into the AWS Cloud, giving you elasticity and flexibility while remaining simple and easy to use. You can set up and manage large-scale distributed jobs that span multiple AWS regions and benefit from elastic, usage-based AWS licensing for popular applications like Deadline for Autodesk 3ds Max, Maya, Arnold, and dozens more, all available from the Thinkbox Marketplace. You can purchase software licenses from the marketplace, use your existing licenses, or use them together.

Deadline 10 obtains cloud-based compute resources by managing bids for EC2 Spot Instances, providing you with access to enough low-cost compute capacity to let your imagination run wild! It uses your existing AWS account, tags EC2 instances for tracking, and synchronizes your local assets to the cloud before rendering begins.

A Quick Tour
Let’s take a quick tour of Deadline 10 and see how it makes use of AWS. The AWS Portal is available from the View menu:

The first step is to log in to my AWS account:

Then I configure the connection server, license server, and the S3 bucket that will be used to store rendering assets:

Next, I set up my Spot fleet, establishing a maximum price per hour for each EC2 instance, setting target capacity, and choosing the desired rendering application:

I can also choose any desired combination of EC2 instance types:

When I am ready to render I click on Start Spot Fleet:

This will initiate the process of bidding for and managing Spot Instances. The running instances are visible from the Portal:

I can monitor the progress of my rendering pipeline:

I can stop my Spot fleet when I no longer need it:

Deadline 10 is now available for usage based license customers; a new license is needed for traditional floating license users. Pricing for yearly Deadline licenses has been reduced to $48 annually. If you are already using an earlier version of Deadline, feel free to contact us to learn more about licensing options.

— Jeff;

The content below is taken from the original (Use shared USB over network remotely with USB Redirector Client), to continue reading please visit the site. Remember to respect the Author & Copyright.

The content below is taken from the original (Yamaha’s smart pianos work with Alexa and teach you how to play), to continue reading please visit the site. Remember to respect the Author & Copyright.

Of the many things we expected to see at IFA 2017, cutting-edge instruments weren’t one of them. But Yamaha is using its time in Berlin to showcase the Clavinova all-electric, smart pianos, which use an iOS device and LEDs above each key to teach you how to play. With the Smart Pianist application, which will also be available on Android next year, you can learn how to play tracks in real-time thanks to blue and red lights that will come on every time you’re supposed to hit a key. (Red LEDs are placed above white keys, blue above the black ones.) Not only that, but if you can read music, there’s a chord chart being displayed on the iPad in real-time for whatever song you’re playing.

In terms of Alexa compatibility, Amazon’s virtual assistant isn’t built into the Clavinova smart pianos. Instead, you’re able to trigger different commands by plugging something like an an Echo Dot to them. The only caveat is that you’ll need to route that through a MusicCast-powered hub, which is essentially Yamaha’s answer to Apple AirPlay and Google Cast. It’s not the most intuitive process, but it’s still fun to see in action — especially if it works quite smoothly, as was the case during our demo. For instance, you can tell Alexa to play you a song on your piano, in case you want rather save a few minutes and not browse your music library.

Here’s the other, and arguably main, caveat: Yamaha’s Clavinova CSP models start at $4,000, depending on your piano configuration And if you’re feeling adventurous, the company also has a Grand Piano that works with a similar iPad app and plays itself for $60,000. It just depends on how much you want to impress.

Follow all the latest news from IFA 2017 here!

The content below is taken from the original (Google’s Hollywood ‘interventions’ made on-screen coders cooler), to continue reading please visit the site. Remember to respect the Author & Copyright.

Google operates a “Computer Science in Media Team” that stages “interventions” in Hollywood to steer film-makers towards realistic and accurate depictions of what it’s like to work in IT.

The company announced the team in 2015 and gave it the job of “making CS more appealing to a wider audience, by dispelling stereotypes and showcasing positive portrayals of underrepresented minorities in tech.” Google felt the effort was worthy because typical depictions of techies on screen used geeky stereotypes and mostly featured men, “leading to particularly girls and underrepresented boys not seeing themselves in the field.” It also wants to have more people to hire: like just about every tech company it struggles to find good people to hire. But the company has noticed that “Five years after the premiere of the original CSI television series, forensic science majors in the U.S. increased by 50%, with an over index of women.”

The efforts of that team have now been detailed in a study [PDF], Cracking the Code: The Prevalence and Nature of Computer Science Depictions in Media.

The study says Google has worked “to intersect the decision-making process that ultimately leads to the on screen representation of computer science” and “Through engagements with show creators and corporate representatives … has attempted to integrate computer science portrayals into TV movies and ongoing series that deviate from stereotypes and showcase diversity.”

The study finds those efforts have mostly worked. While computer science rarely makes it into films and tellie, “The sample of Google influenced content (5.9%, n=61 of 1,039) had a higher percentage of characters engaging in computer science than a matched sample of programming (.5%, n=4 of 883).” While the study finds that a character involved in computer science is still overwhelmingly likely to be a white man, content that Google influenced featured more women than in shows it didn’t engage.

As it happens, El Reg may well already have reported on the Team’s work: back in 2015 we spotted an episode of made-for-kids cartoon The Amazing World of Gumball, a show the study says Google has “advised.” In the episode we reported, a character says the following:

I bypassed the storage controller, tapped directly in to the VNX array head, decrypted the nearline SAS disks, injected the flash drivers into the network’s FabricPath before disabling the IDF, routed incoming traffic through a bunch of offshore proxies, accessed the ESXi server cluster in the prime data center, and disabled the inter-VSAN routing on the layer-3.

The authors of the study think Google still has work to do, because the content it influenced resulted in shows depicting women as “praised for intelligence rather than attractiveness, and were more often rewarded for their CS activities than males”>. But both the stuff Google influenced and shows it didn’t touch “still primarily depict White, male characters engaging in CS, who are often stereotypically attired. The nature of these depictions also reflects CS stereotypes, namely that friendships are primarily with other CS individuals and a lack of children or romantic relationships.”

Overall, the study’s authors declare the effort worthwhile and say Google’s efforts have been well-received in Hollywood, even if stereotypes persist and CS remains something seldom depicted by the entertainment industry.

Shows Google influenced include Miles from Tomorrowland, The Fosters, Silicon Valley, Halt and Catch fire, The Amazing Gumball, The Powerpuff Girls and Ready, Jet, Go. ®

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The Joy and Pain of Buying IT – Have Your Say

The content below is taken from the original (UK.gov unveils six areas to pilot full-fat fibre, and London ain’t on the list), to continue reading please visit the site. Remember to respect the Author & Copyright.

Government has revealed the first six areas in Blighty to trial speeds of 1Gbps in a £10m pilot, as previously revealed by The Register.

The areas include Aberdeen and Aberdeenshire, West Sussex, Coventry and Warwickshire, Bristol, Bath and North East Somerset, West Yorkshire and Greater Manchester.

In August, the Department for Digital, Culture Media and Sport had told industry it would trial a scheme to allow businesses to bid for vouchers worth up to £3,000 for “gigabit-capable” connectivity, and will pay the ongoing line rental costs.

That will most likely to be delivered by fibre but not exclusively so, said the documents.

The model is similar to that of the £100m broadband connection voucher scheme for speeds of more than 30Mbps in 2013-15, which was re-scoped after initially experiencing poor take-up from small businesses.

The latest scheme will be funded via the £200m “full-fibre” investment pot announced in the Spring budget and intended to leverage private sector investment in full-fibre broadband. The remaining £190m is due to be spent by 2020/21.

Exchequer Secretary to the Treasury Andrew Jones MP said: “Full-fibre connections are the gold standard and we are proud to announce today the next step to get Britain better connected.”

Minister of State for Digital Matt Hancock MP said: “We want to see more commercial investment in the gold-standard connectivity that full fibre provides, and these innovative pilots will help create the right environment for this to happen.

“To keep Britain as the digital world leader that it is, we need to have the right infrastructure in place to allow us to keep up with the rapid advances in technology now and in the future.” ®

Sponsored:
The Joy and Pain of Buying IT – Have Your Say

The content below is taken from the original (Samsung’s ‘AI-powered’ washer is just trying to save you time), to continue reading please visit the site. Remember to respect the Author & Copyright.

IFA 2017 isn’t all about smartphones, smartwatches and cute droids. The event is also a chance for companies to showcase their latest innovations for home appliances. Samsung did its part this year with the WW8800M washer, which sports technology called QuickDrive that promises to complete a full load of laundry in just 39 minutes –typically it’s about 70. The company says it’s able to do this without compromising washing performance, energy efficiency and fabric care, something that will matter deeply to people who are extra conscious of how they do their laundry. Oh and it says AI is involved.

Samsung is betting heavily on the "artificial intelligence" powers of its WW8800M to make laundry day less of a chore. The washing machine pairs with an app dubbed Q-rator, which offers modes including Laundry Planner, Laundry Recipe and HomeCard Wizard. The first two features let you do things like pick your desired cycle through the application and adjust the temperature and amount of spins. You can tell the virtual assistant what type of garments you plan to wash too, like if it’s a shirt or a sweater, and then it will suggest the best cycle for it based on the info you type in. HomeCare Wizard, meanwhile, monitors the WW8800M remotely and alerts you if it’s having any issues.

While Samsung’s main goal is to save you time washing your loads, these options could help you take better care of your clothes — all with just a couple of taps on an app. We don’t know if we’d agree with Samsung that the WW8800M is "AI-powered," as the press release suggests, but that doesn’t mean it isn’t smarter than its previous WiFI models.

Unfortunately, Samsung didn’t reveal any pricing or availability details here in Berlin, so we’ll have to wait to judge it by its price.

Follow all the latest news from IFA 2017 here!

The content below is taken from the original (Cummins unveils an electric big rig weeks before Tesla), to continue reading please visit the site. Remember to respect the Author & Copyright.

Sorry, Tesla, but someone just stole the thunder from the electric big rig you were planning to unveil this fall. The engine giant Cummins has unveiled a concept semi truck, the AEOS, that runs entirely on the power of an electric motor and a 140kWh battery pack. It’s roughly as powerful as a 12-liter fossil fuel engine and could haul 44,000 pounds of cargo, just without the emissions or rampant fuel costs of a conventional truck. There’s speedy 1-hour charging, and Cummins is even looking at solar panels on the trailer to extend range. It’s a promising offering, although Elon Musk and crew might not lose too much sleep knowing the limitations.

For one thing, range is a sore point. You’re looking at a modest 100-mile range with that 140kWh pack. That’s fine for inter-city deliveries, but it won’t cut the mustard for longer trips. And while there’s talk of extending that distance to 300 miles with extra packs, that would only make it competitive with Tesla’s anticipated 200- to 300-mile range.

And more importantly, this is a concept, not a production vehicle ready to roll off the manufacturing line. There should be a production model in a couple of years, according to CNET, but that gives Tesla plenty of time to get its own EV semi on the road. Not that we’re going to complain about both companies having a fighting chance — more electric big rigs means more competition and fewer polluting trucks.

Via: IndyStar, CNET

Source: Cummins (1), (2)

The content below is taken from the original (New – Amazon EC2 Elastic GPUs for Windows), to continue reading please visit the site. Remember to respect the Author & Copyright.

Today we’re excited to announce the general availability of Amazon EC2 Elastic GPUs for Windows. An Elastic GPU is a GPU resource that you can attach to your Amazon Elastic Compute Cloud (EC2) instance to accelerate the graphics performance of your applications. Elastic GPUs come in medium (1GB), large (2GB), xlarge (4GB), and 2xlarge (8GB) sizes and are lower cost alternatives to using GPU instance types like G3 or G2 (for OpenGL 3.3 applications). You can use Elastic GPUs with many instance types allowing you the flexibility to choose the right compute, memory, and storage balance for your application. Today you can provision elastic GPUs in us-east-1 and us-east-2.

Elastic GPUs start at just $0.05 per hour for an eg1.medium. A nickel an hour. If we attach that Elastic GPU to a t2.medium ($0.065/hour) we pay a total of less than 12 cents per hour for an instance with a GPU. Previously, the cheapest graphical workstation (G2/3 class) cost 76 cents per hour. That’s over an 80% reduction in the price for running certain graphical workloads.

When should I use Elastic GPUs?

Elastic GPUs are best suited for applications that require a small or intermittent amount of additional GPU power for graphics acceleration and support OpenGL. Elastic GPUs support up to and including the OpenGL 3.3 API standards with expanded API support coming soon.

Elastic GPUs are not part of the hardware of your instance. Instead they’re attached through an elastic GPU network interface in your subnet which is created when you launch an instance with an Elastic GPU. The image below shows how Elastic GPUs are attached.

Since Elastic GPUs are network attached it’s important to provision an instance with adequate network bandwidth to support your application. It’s also important to make sure your instance security group allows traffic on port 2007.

Any application that can use the OpenGL APIs can take advantage of Elastic GPUs so Blender, Google Earth, SIEMENS SolidEdge, and more could all run with Elastic GPUs. Even Kerbal Space Program!

Ok, now that we know when to use Elastic GPUs and how they work, let’s launch an instance and use one.

Using Elastic GPUs

First, we’ll navigate to the EC2 console and click Launch Instance. Next we’ll select a Windows AMI like: “Microsoft Windows Server 2016 Base”. Then we’ll select an instance type. Then we’ll make sure we select the “Elastic GPU” section and allocate an eg1.medium (1GB) Elastic GPU.

We’ll also include some userdata in the advanced details section. We’ll write a quick PowerShell script to download and install our Elastic GPU software.

<powershell>
Start-Transcript -Path "C:\egpu_install.log" -Append
(new-object net.webclient).DownloadFile('http://bit.ly/2wRAjuj', 'C:\egpu.msi')
Start-Process "msiexec.exe" -Wait -ArgumentList "/i C:\egpu.msi /qn /L*v C:\egpu_msi_install.log"
[Environment]::SetEnvironmentVariable("Path", $env:Path + ";C:\Program Files\Amazon\EC2ElasticGPUs\manager\", [EnvironmentVariableTarget]::Machine)
Restart-Computer -Force
</powershell>

This software sends all OpenGL API calls to the attached Elastic GPU.

Next, we’ll double check to make sure my security group has TCP port 2007 exposed to my VPC so my Elastic GPU can connect to my instance. Finally, we’ll click launch and wait for my instance and Elastic GPU to provision. The best way to do this is to create a separate SG that you can attach to the instance.

You can see an animation of the launch procedure below.

Alternatively we could have launched on the AWS CLI with a quick call like this:

$aws ec2 run-instances --elastic-gpu-specification Type=eg1.2xlarge \
--image-id ami-1a2b3c4d \
--subnet subnet-11223344 \
--instance-type r4.large \
--security-groups "default" "elasticgpu-sg"

then we could have followed the Elastic GPU software installation instructions here.

We can now see our Elastic GPU is humming along and attached by checking out the Elastic GPU status in the taskbar.

We welcome any feedback on the service and you can click on the Feedback link in the bottom left corner of the GPU Status Box to let us know about your experience with Elastic GPUs.

Elastic GPU Demonstration

Ok, so we have our instance provisioned and our Elastic GPU attached. My teammates here at AWS wanted me to talk about the amazingly wonderful 3D applications you can run, but when I learned about Elastic GPUs the first thing that came to mind was Kerbal Space Program (KSP), so I’m going to run a quick test with that. After all, if you can’t launch Jebediah Kerman into space then what was the point of all of that software? I’ve downloaded KSP and added the launch parameter of -force-opengl to make sure we’re using OpenGL to do our rendering. Below you can see my poor attempt at building a spaceship – I used to build better ones. It looks pretty smooth considering we’re going over a network with a lossy remote desktop protocol.

I’d show a picture of the rocket launch but I didn’t even make it off the ground before I experienced a rapid unscheduled disassembly of the rocket. Back to the drawing board for me.

In the mean time I can check my Amazon CloudWatch metrics and see how much GPU memory I used during my brief game.

Partners, Pricing, and Documentation

To continue to build out great experiences for our customers, our 3D software partners like ANSYS and Siemens are looking to take advantage of the OpenGL APIs on Elastic GPUs, and are currently certifying Elastic GPUs for their software. You can learn more about our partnerships here.

You can find information on Elastic GPU pricing here. You can find additional documentation here.

Now, if you’ll excuse me I have some virtual rockets to build.

– Randall

The content below is taken from the original (Automate.io is a free automation tool and IFTTT alternative), to continue reading please visit the site. Remember to respect the Author & Copyright.

The content below is taken from the original (Lost Alan Turing letters found in university filing cabinet), to continue reading please visit the site. Remember to respect the Author & Copyright.

A huge batch of letters penned by British cryptographer Alan Turing has been found at the University of Manchester. Professor Jim Miles was tidying a storeroom when he discovered the correspondence in an old filing cabinet. At first he assumed the orange folder, which had Turing’s name on the front, had been emptied and re-used by another member of staff. But a closer look revealed 148 documents, including a letter sent by GCHQ, a draft version of a BBC radio programme about artificial intelligence, and invitations to lecture at some top universities in America.

Turing worked at the University of Manchester from 1948, first as a Reader in the mathematics department and later as the Deputy Director of the Computing Laboratory. These jobs followed his pivotal work with the Government Code and Cypher School during the Second World War. At Bletchley park, he spearheaded a team of cryptographers that helped the Allies to unravel various Nazi messages, including those protected by the Enigma code. The newly discovered documents date from early 1949 until his death in June 1954. At this time, Turing’s work on Enigma was still a secret, which is why it’s rarely mentioned in the correspondence.

None of the letters contain previously unknown information about Turing. They do provide new detail, however, about his life at Manchester and how he worked at the University. They also shed light on his personality — responding to a conference invitation in the US, he said boldly: "I would not like the journey, and I detest America." The documents also reference his work on morphogenesis, the study of biological life and why it takes a particular form, AI, computing and mathematics. "I was astonished such a thing had remained hidden out of sight for so long," Miles said.

All of the letters have now been sorted, catalogued and stored by James Peters at the University’s library. "This is a truly unique find," Miles said. "Archive material relating to Turing is extremely scarce, so having some of his academic correspondence is a welcome and important addition to our collection." You can now search for and view all 148 documents online.

None of the correspondence references his personal life. Turing was arrested in 1952 for homosexual acts and chose chemical castration over time in prison. In 1954, he died through cyanide poisoning, which an inquest later determined as suicide. The British government officially apologised for his treatment in 2009, before a posthumous pardon was granted in 2013. Last October, the UK government introduced the "Alan Turing Law," awarding posthumous pardons to thousands of gay and bisexual men previously convicted for consensual same-sex relationships.

Via: International Business Times

Source: The University of Manchester

The content below is taken from the original (Drones will watch Australian beaches for sharks with AI help), to continue reading please visit the site. Remember to respect the Author & Copyright.

Humans aren’t particularly good at spotting sharks using aerial data. At best, they’ll accurately pinpoint sharks 30 percent of the time — not very helpful for swimmers worried about stepping into the water. Australia, however, is about to get a more reliable way of spotting these undersea predators. As of September, Little Ripper drones will monitor some Australian beaches for signs of sharks, and pass along their imagery to an AI system that can identify sharks in real-time with 90 percent accuracy. Humans will still run the software (someone has to verify the results), but this highly automated system could be quick and reliable enough to save lives.

The detection AI is a quintessential machine learning system. The team trains the system to both look for sharks based on aerial videos as well as distinguish them from other life on the water. That approach doesn’t just help it identify sharks, though. It can also flag dolphins, whales and other sea creatures of interest, which could give researchers an additional way to track populations.

Also, the use of drones doesn’t just save helicopters valuable flight time. The drones hold beacons and life rafts, so they can offer immediate help to anyone who’s in distress. Little Ripper is also developing an electronic ‘repellent’ that the drones could use to keep sharks at bay until rescuers arrive.

Australia isn’t relying solely on drones. The country has been deploying nets along its northeastern shores to prevent sharks from entering areas in the first place. However, drones could at least augment those methods, and would arguably be friendlier to the local ecosystem. Instead of fencing off areas and potentially blocking access to other species, authorities could use robotic fliers to deal with sharks only when they pose a genuine threat.

Source: Reuters