Sunday, December 9, 2018

Adafruit Weekly Editorial Round-Up: December 3rd – December 10th

from Adafruit Weekly Editorial Round-Up: December 3rd – December 10th
by Kelly

ADAFRUIT WEEKLY EDITORIAL ROUND-UP


We’ve got so much happening here at Adafruit that it’s not always easy to keep up! Don’t fret, we’ve got you covered. Each week we’ll be posting a handy round-up of what we’ve been up to, ranging from learn guides to blog articles, videos, and more.


BLOG

This project from Josie is nothing short of a gingerbread masterpiece – Jo HighVoltage Gingerbread Merry-go-round Circuit Playground Express and Crickit

More BLOG:


LEARN

Crickit Powered Dancing’ Snowman!

More LEARN

Browse all that’s new in the Adafruit Learning System here!

Novameat develops 3D-printed vegan steak from plant-based proteins

from Novameat develops 3D-printed vegan steak from plant-based proteins
by Ben

3d printed steak design technology dezeen 2364 col 1 1704x1278

Via DeZeen:

Italian bioengineer Giuseppe Scionti from Spanish startup Novameat has invented the “world’s first” 3D-printed meat-free steak made from vegetable proteins, which mimics the texture of beef.

By combining tissue engineering and bio-printing with modern cooking methods, he created a vegan product that boasts the same consistency, appearance and nutritional properties as animal meat products.

3D printing allowed the scientist to generate complex, micro-structured tridimensional forms that he says are impossible to achieve using other techniques.

Read more!

Gingerbread Merry-Go-Round with #CircuitPlaygroundExpress and #Cricket

from Gingerbread Merry-Go-Round with #CircuitPlaygroundExpress and #Cricket
by Stephanie

Thanks to Josephine and Elizabeth for sending us this tip and incredible project – fantastic work! Elizabeth writes:

My ten year old daughter just made a gingerbread merry-go-round using CPX and Crickit, This was her first project using circuit python. She has done many projects with CPX and makecode.

The project also involves 3D printing and using the band saw.

Check out the video on YouTube


Saturday, December 8, 2018

New Products 12/5/18 Featuring #TinyFPGA BX! @adafruit #adafruit

from New Products 12/5/18 Featuring #TinyFPGA BX! @adafruit #adafruit
by Kelly

NewImage 83

Browse through all that’s new here!


NEW PRODUCTS THIS WEEK


4038 02

TinyFPGA BX – ICE40 FPGA Development Board with USB: Wanna dip your toes into the world of digital logic design – but a little intimidated of the complexity? You may find a friend in the TinyFPGA BX, a FPGA development board that is designed from the ground up to be easy to use. Designed for makers and hobbyists, TinyFPGA BX puts you in control and takes the headache out of power delivery, clocking, configuration flash, and more. Its small form factor fits easily on a breadboard for learning or prototyping.

Read more.


1783 02

Cupcade: the Raspberry Pi-Powered Micro Arcade Cabinet Kit – Rev 3: Never be bored again with an adorable little arcade cabinet you can fit in your bag! This Raspberry Pi-powered kit combines our sharp PiTFT 2.8″ display, mini thumbstick, mini arcade push buttons, and a whole bunch of components to create the most adorable arcade cabinet in the known universe.

Comes as a big kit with lots of parts including all electronic components, the laser cut enclosure, and a blank SD card (you’ll need to write the RetroPie image). You provide a Raspberry Pi, soldering iron, solder wire, basic electronic hand tools, tape, etc.

Read more.


3984 02

Platinum RTD Sensor – PT1000 – 3 Wire 1 meter long: For precision temperature sensing, nothing beats a Platinum RTD. Resistance temperature detectors (RTDs) are temperature sensors that contain a resistor that changes resistance value as its temperature changes, basically a kind of thermistor. In this sensor, the resistor is actually a small strip of Platinum with a resistance of 1000 ohms at 0°C, thus the name PT1000. Compared to most NTC/PTC thermistors, the PT type of RTD is much most stable and precise (but also more expensive) PT1000’s have been used to measure temperature in laboratory and industrial processes, and have developed a reputation for accuracy (better than thermocouples), repeatability, and stability.

Read more.


3953 03

Raspberry Pi PoE Hat: Power over Ethernet (PoE) can make your project wiring a breeze – instead of needing a wire for power and data, you can use one Ethernet cable for both!

Simply attach the standoffs in the four corners of the HAT, then connect to the 40-pin header. Once the HAT is connected, you can power your Pi through the RJ-45 network connector.

Read more.


4008 06

USB micro B Cable with LEDs – Blue and Red – 1 meter: At first glance this appears to be an ordinary A to micro B USB cable. Plug it in to your device and power supply, and you get a colorful glitter of dozens of little LEDs embedded in the length of the cable.

Read more.


4009 06

USB micro B Cable with LEDs – Blue and Green – 1 meter: At first glance this appears to be an ordinary A to micro B USB cable. Plug it in to your device and power supply, and you get a colorful glitter of dozens of little LEDs embedded in the length of the cable.

Read more.


4019 00

US-100 Ultrasonic Distance Sensor – 3V or 5V Logic: If you’re like me, you’ve dreamed of being a dolphin – smoothly gliding through the water. Using your echo-location abilities to detect tasty fish treats. Until genetic modifications catches up with our desires, we’ll just have to make do with this handy US-100 Ultrasonic Sonar Distance Sensor and a pair of flippers. The US-100 is very similar to the popular HC-SR04 ultrasonic sensors, and even looks the same, but has a few extra tricks

Read more.


New Products 12/5/18 Featuring #TinyFPGA BX! @adafruit #adafruit


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Friday, December 7, 2018

Learn about New AWS re:Invent Launches – December AWS Online Tech Talks

AWS Tech Talks

Join us in the next couple weeks to learn about some of the new service and feature launches from re:Invent 2018. Learn about features and benefits, watch live demos and ask questions! We’ll have AWS experts online to answer any questions you may have. Register today!

Note – All sessions are free and in Pacific Time.

Tech talks this month:

Compute

December 19, 2018 | 01:00 PM – 02:00 PM PTDeveloping Deep Learning Models for Computer Vision with Amazon EC2 P3 Instances – Learn about the different steps required to build, train, and deploy a machine learning model for computer vision.

Containers

December 11, 2018 | 01:00 PM – 02:00 PM PTIntroduction to AWS App Mesh – Learn about using AWS App Mesh to monitor and control microservices on AWS.

Data Lakes & Analytics

December 10, 2018 | 11:00 AM – 12:00 PM PTIntroduction to AWS Lake Formation – Build a Secure Data Lake in Days – AWS Lake Formation (coming soon) will make it easy to set up a secure data lake in days. With AWS Lake Formation, you will be able to ingest, catalog, clean, transform, and secure your data, and make it available for analysis and machine learning.

December 12, 2018 | 11:00 AM – 12:00 PM PTIntroduction to Amazon Managed Streaming for Kafka (MSK) – Learn about features and benefits, use cases and how to get started with Amazon MSK.

Databases

December 10, 2018 | 01:00 PM – 02:00 PM PTIntroduction to Amazon RDS on VMware – Learn how Amazon RDS on VMware can be used to automate on-premises database administration, enable hybrid cloud backups and read scaling for on-premises databases, and simplify database migration to AWS.

December 13, 2018 | 09:00 AM – 10:00 AM PTServerless Databases with Amazon Aurora and Amazon DynamoDB – Learn about the new serverless features and benefits in Amazon Aurora and DynamoDB, use cases and how to get started.

Enterprise & Hybrid

December 19, 2018 | 11:00 AM – 12:00 PM PTHow to Use “Minimum Viable Refactoring” to Achieve Post-Migration Operational Excellence – Learn how to improve the security and compliance of your applications in two weeks with “minimum viable refactoring”.

IoT

December 17, 2018 | 11:00 AM – 12:00 PM PTIntroduction to New AWS IoT Services – Dive deep into the AWS IoT service announcements from re:Invent 2018, including AWS IoT Things Graph, AWS IoT Events, and AWS IoT SiteWise.

Machine Learning

December 10, 2018 | 09:00 AM – 10:00 AM PTIntroducing Amazon SageMaker Ground Truth – Learn how to build highly accurate training datasets with machine learning and reduce data labeling costs by up to 70%.

December 11, 2018 | 09:00 AM – 10:00 AM PTIntroduction to AWS DeepRacer – AWS DeepRacer is the fastest way to get rolling with machine learning, literally. Get hands-on with a fully autonomous 1/18th scale race car driven by reinforcement learning, 3D racing simulator, and a global racing league.

December 12, 2018 | 01:00 PM – 02:00 PM PTIntroduction to Amazon Forecast and Amazon Personalize – Learn about Amazon Forecast and Amazon Personalize – what are the key features and benefits of these managed ML services, common use cases and how you can get started.

December 13, 2018 | 01:00 PM – 02:00 PM PTIntroduction to Amazon Textract: Now in Preview – Learn how Amazon Textract, now in preview, enables companies to easily extract text and data from virtually any document.

Networking

December 17, 2018 | 01:00 PM – 02:00 PM PTIntroduction to AWS Transit Gateway – Learn how AWS Transit Gateway significantly simplifies management and reduces operational costs with a hub and spoke architecture.

Robotics

December 18, 2018 | 11:00 AM – 12:00 PM PTIntroduction to AWS RoboMaker, a New Cloud Robotics Service – Learn about AWS RoboMaker, a service that makes it easy to develop, test, and deploy intelligent robotics applications at scale.

Security, Identity & Compliance

December 17, 2018 | 09:00 AM – 10:00 AM PTIntroduction to AWS Security Hub – Learn about AWS Security Hub, and how it gives you a comprehensive view of high-priority security alerts and your compliance status across AWS accounts.

Serverless

December 11, 2018 | 11:00 AM – 12:00 PM PTWhat’s New with Serverless at AWS – In this tech talk, we’ll catch you up on our ever-growing collection of natively supported languages, console updates, and re:Invent launches.

December 13, 2018 | 11:00 AM – 12:00 PM PTBuilding Real Time Applications using WebSocket APIs Supported by Amazon API Gateway – Learn how to build, deploy and manage APIs with API Gateway.

Storage

December 12, 2018 | 09:00 AM – 10:00 AM PTIntroduction to Amazon FSx for Windows File Server – Learn about Amazon FSx for Windows File Server, a new fully managed native Windows file system that makes it easy to move Windows-based applications that require file storage to AWS.

December 14, 2018 | 01:00 PM – 02:00 PM PTWhat’s New with AWS Storage – A Recap of re:Invent 2018 Announcements – Learn about the key AWS storage announcements that occurred prior to and at re:Invent 2018. With 15+ new service, feature, and device launches in object, file, block, and data transfer storage services, you will be able to start designing the foundation of your cloud IT environment for any application and easily migrate data to AWS.

December 18, 2018 | 09:00 AM – 10:00 AM PTIntroduction to Amazon FSx for Lustre – Learn about Amazon FSx for Lustre, a fully managed file system for compute-intensive workloads. Process files from S3 or data stores, with throughput up to hundreds of GBps and sub-millisecond latencies.

December 18, 2018 | 01:00 PM – 02:00 PM PTIntroduction to New AWS Services for Data Transfer – Learn about new AWS data transfer services, and which might best fit your requirements for data migration or ongoing hybrid workloads.



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New – EC2 P3dn GPU Instances with 100 Gbps Networking & Local NVMe Storage for Faster Machine Learning + P3 Price Reduction

Late last year I told you about Amazon EC2 P3 instances and also spent some time discussing the concept of the Tensor Core, a specialized compute unit that is designed to accelerate machine learning training and inferencing for large, deep neural networks. Our customers love P3 instances and are using them to run a wide variety of machine learning and HPC workloads. For example, fast.ai set a speed record for deep learning, training the ResNet-50 deep learning model on 1 million images for just $40.

Raise the Roof
Today we are expanding the P3 offering at the top end with the addition of p3dn.24xlarge instances, with 2x the GPU memory and 1.5x as many vCPUs as p3.16xlarge instances. The instances feature 100 Gbps network bandwidth (up to 4x the bandwidth of previous P3 instances), local NVMe storage, the latest NVIDIA V100 Tensor Core GPUs with 32 GB of GPU memory, NVIDIA NVLink for faster GPU-to-GPU communication, AWS-custom Intel® Xeon® Scalable (Skylake) processors running at 3.1 GHz sustained all-core Turbo, all built atop the AWS Nitro System. Here are the specs:4

Model NVIDIA V100 Tensor Core GPUs GPU Memory NVIDIA NVLink vCPUs Main Memory Local Storage Network Bandwidth EBS-Optimized Bandwidth
p3dn.24xlarge 8 256 GB 300 GB/s 96 768 GiB 2 x 900 GB NVMe SSD 100 Gbps 14 Gbps

If you are doing large-scale training runs using MXNet, TensorFlow, PyTorch, or Keras, be sure to check out the Horovod distributed training framework that is included in the Amazon Deep Learning AMIs. You should also take a look at the new NVIDIA AI Software containers in the AWS Marketplace; these containers are optimized for use on P3 instances with V100 GPUs.

With a total of 256 GB of GPU memory (twice as much as the largest of the current P3 instances), the p3dn.24xlarge allows you to explore bigger and more complex deep learning algorithms. You can rotate and scale your training images faster than ever before, while also taking advantage of the Intel AVX-512 instructions and other leading-edge Skylake features. Your GPU code can scale out across multiple GPUs and/or instances using NVLink and the NVLink Collective Communications Library (NCCL). Using NCCL will also allow you to fully exploit the 100 Gbps of network bandwidth that is available between instances when used within a Placement Group.

In addition to being a great fit for distributed machine learning training and image classification, these instances provide plenty of power for your HPC jobs. You can render 3D images, transcode video in real time, model financial risks, and much more.

You can use existing AMIs as long as they include the ENA, NVMe, and NVIDIA drivers. You will need to upgrade to the latest ENA driver to get 100 Gbps networking; if you are using the Deep Learning AMIs, be sure to use a recent version that is optimized for AVX-512.

Available Today
The p3dn.24xlarge instances are available now in the US East (N. Virginia) and US West (Oregon) Regions and you can start using them today in On-Demand, Spot, and Reserved Instance form.

Bonus – P3 Price Reduction
As part of today’s launch we are also reducing prices for the existing P3 instances. The following prices went in to effect on December 6, 2018:

  • 20% reduction for all prices (On-Demand and RI) and all instance sizes in the Asia Pacific (Tokyo) Region.
  • 15% reduction for all prices (On-Demand and RI) and all instance sizes in the Asia Pacific (Sydney), Asia Pacific (Singapore), and Asia Pacific (Seoul) Regions.
  • 15% reduction for Standard RIs with a three-year term for all instance sizes in all regions except Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Singapore), and Asia Pacific (Seoul).

The percentages apply to instances running Linux; slightly smaller percentages apply to instances that run Microsoft Windows and other operating systems.

These reductions will help to make your machine learning training and inferencing even more affordable, and are being brought to you as we pursue our goal of putting machine learning in the hands of every developer.

Jeff;

 

 



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from Subscribe to the Adafruit Youtube channel! #Youtube #AdafruitLearnSystem
by Jessie Mae

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New Products – Updated Fridays

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Join Ladyada streaming live for circuit board layout design, code writing, surface mount soldering and more fresh engineering and even some gaming! If Ladyada’s working on it, you’ll find it here first.

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