Bringing Big Data and AI to life with our end-to-end solutions - AI, data analytics, data science, and data engineering - choose what is right for your business. Fuel your growth, add value, and stand at the forefront of your industries with Sertis - Leading AI solution provider in Thailand

Sertis | Revolutionize Your Business with Custom AI Solutions | ...

Sertis | 5,104 followers on LinkedIn. &quot;We enable our clients to achieve their goals by helping them structure, analyse and unleash the power of big data.&quot;​ | We are a leading Big Data and AI-powered solution company working with some of the largest companies in the world and partnering with ...

Sertis | LinkedIn

Sertis is a leading data and AI company in Asia (established in 2014). We develop custom data science, AI/Machine Learning, blockchain solutions to solve challenging business problems. Our customers include multinational enterprises in Retail, Airline, Oil &amp; Gas, Telecom, Manufacturing, FMCG, ...

Sertis Co.,Ltd. - Crunchbase Company Profile & Funding

View Sertis (www.sertiscorp.com) location in Bangkok, Thailand , revenue, industry and description. Find related and similar companies as well as employees by title and much more.

Sertis - Overview, News & Competitors | ZoomInfo.com

We are a leading data and AI innovation company with a world-class professional team. We bring data science innovation to uncover valuable insights and solve complex business problems. Visit us at www.Sertiscorp.com to learn more of our services and also check out our career ... Read more

Working at Sertis | Glassdoor

Explore comprehensive insurance solutions at Sertis. We redefine protection for individuals and businesses. Your peace of mind, our priority.

Multifamily insurance - Sertis

Sertis is a leading Big data and AI-powered solution company. We provide both off the shelf solutions as well as customised AI for our clients. Our expert team of data and AI consultants will work closely with clients to understand their business needs and to deliver bespoke solutions that ...

Sertis | About us

Explore Sertis Insurance – Innovators in insurance, committed to personalized solutions and a secure future. Join our journey today!

About - Sertis

Sertis products are now available in Arizona, Colorado, Connecticut, Delaware, District of Columbia, Georgia, Idaho, Illinois, Indiana, Kentucky, Maine, Maryland, Michigan, Minnesota, Montana, Nevada, New Jersey, New Mexico, North Carolina, North Dakota, Ohio, Oregon, Pennsylvania, Rhode Island, ...

Sertis announces massive expansion | Insurance Business America

Discover how Sertis Insurance serves you with tailored solutions. From individuals to businesses, our commitment ensures comprehensive coverage for everyone.

Who we serve - Sertis

Sertis Vision Lab consists of a distinguished team of AI researchers with a rich blend of academic and industrial expertise. United by a shared mission, our team is dedicated to propelling Sertis towards its ambition of being recognized as one of the leading AI innovators in Southeast Asia

Sertis | Sertis AI Research

Sertis is an insurance company that provides property and casualty insurance to multifamily operators.

Sertis - Crunchbase Company Profile & Funding

Read writing from Sertis on Medium. Leading big data and AI-powered solution company https://www.sertiscorp.com/. Every day, Sertis and thousands of other voices read, write, and share important stories on Medium.

Sertis – Medium

In fact, that’s our Great Aunt Wick right there, doesn’t she look sweet? She and Grandpa Charles founded The Jel Sert Company way back in the day in 1926. That means we’ve been doing this for nearly 100 years across multiple generations. Now we&#x27;re in the 4th generation, and we&#x27;re carrying ...

The Jel Sert Company

The Jel Sert Company was named for its original product, a gelatin dessert mix named by combining the words jelly and dessert. In 1929, Jel Sert created a powdered drink mix called Flavor Aid. These remained Jel Sert&#x27;s flagship products until the 1960s when the company acquired the Pop-Ice ...

Jel Sert - Wikipedia

For nearly a century, The Jel Sert Company has focused on creating high quality, high value foods and beverages that help bring people together. As a proud family owned business, they understand that sharing a meal; a treat or even just a quick beverage can be an opportunity to create meaningful ...

The Jel Sert Company | LinkedIn

For nearly a century, The Jel Sert Company has focused on creating high quality, high value foods and beverages that help bring people together. As a proud family owned business, they understand that sharing a meal; a treat or even just a quick beverage can be an opportunity to ... Read more

Working at The Jel Sert Company | Glassdoor

Skip to main content · Delivering to Lebanon 66952 Update location · Hello, sign in · Account &amp; Lists Returns &amp; Orders · Black Friday Deals Disability Customer Support Medical Care Groceries Best Sellers Amazon Basics New Releases Registry Prime Customer Service Music Books Amazon Home ...

Amazon.com: The Jel Sert Company

Company Description: Jel Sert makes a variety of frozen treats, including Flavor-Aid and Wyler&#x27;s powdered drink mixes; Fla-Vor-Ice, Otter Pops and Wyler&#x27;s Italian Ice freezer pops; and MONDO Fruit Squeezers fruit drinks. Jel Sert also makes My*T*Fine and Royal pudding mixes.

The Jel Sert Co Company Profile | West Chicago, IL | Competitors, ...

We are a leading Big Data and AI-powered solution company working with some of the largest companies in the world and partnering with Microsoft and Google to create insights and build custom AI solutions to help drive business growth. Our team of data scientists, data engineers and AI researchers work closely with clients to provide cutting edge solutions custom tailored for their business.

Sertis

Have you ever felt tired of writing every ML/AI application from scratch and wished there would be a tool to save you time? Try oneML! All software developers have, at least once, experienced the challenge of effectively leveraging and deploying Machine Learning due to complex infrastructure and a high variety of models and frameworks to select. It also requires high computational power, heterogeneous production environments, and various programming languages. oneML was developed specifically to tackle that particular problem. As a fully-fledged C++ SDK with an API for a variety of applications, It can be deployed on any hardware and operating system. As It is made of several task-specific macro modules, oneML achieves the most efficient SDK performance and is easy to extend by simply adding a new module. Unfold the power of high performance and usability with oneML, another promising product that will make developers’ life easier. No need to waste time and resources by reinventing the wheel, instead, create something awesome on top of it! Let's try it yourself with this introduction and sample applications to showcase oneML functionalities and possible use cases: face detection, face identification, face embedding, and vehicle detection. Simply download oneML and follow the instructions from one of the following links: Explore and download a demo version: https://github.com/sertiscorp/on... Read more: https://sertiscorp.medium.com/on... What is oneML"? is a fully-fledged C++ software development kit (SDK) providing APIs for several different AI/ML applications aiming to achieve the most efficient performance and making the SDK easy to extend by simply adding a new module. Potentially, it can be deployed on any target including CPU, GPU, and CUDA, and also any platform such as Android, iOS, embedded Linux, Linux, and Windows. Moreover, the library provides API bindings in other programming languages such as Java, Python, C#, and Golang. Also, is automatically built and tested every time something changes in the codebase. oneML oneML oneML oneML supported components On the customer side, there is no prerequisite apart from having a compatible deployment environment with at least one combination of supported programming languages, operating systems, and target hardware and architectures. If the environment has high computational power, the SDK will run faster but it won’t affect the accuracy. Getting started This section describes steps for quickly testing library. We will download library and models. Then, we build and run sample C++ applications on architecture. There are 2 separate guidelines for Linux and Windows users. oneML oneML x86_64 For other languages and architectures, please refer to the section. NOTE: Setup and Build For Linux users Step 1: Build a docker image We recommend setting up an environment for with a docker container. A docker image can be built from in the folder. Here, we are going to build a base image and another image for CPU runtime. Run the below command to build the image. oneML Dockerfile docker $ docker build -t oneml-bootcamp:cpu-base -f docker/Dockerfile — build-arg base_image=ubuntu:20.04 .
$ docker build -t oneml-bootcamp:cpu -f docker/Dockerfile.cpu — build-arg base_image=oneml-bootcamp:cpu-base . Step 2: build sample applications We will run a docker container with the image that we built in the previous step, and mount this repository folder to the container at path. We execute inside the container to run the next following steps. oneml-Bootcamp: CPU /workspace bash $ docker run -it — name oneml-bootcamp -v $PWD:/workspace oneml-bootcamp:cpu /bin/bash -c “cd /workspace && /bin/bash” Then, inside the container, we download a library and models and build sample C++ applications with the script. oneML build.sh $ ./build.sh -t x86_64 -cc — clean The library and models are downloaded to . oneML assets/binaries/x86_64 $ tree assets/binaries/x86_64

├── bindings
├── config.yaml
├── include
├── lib
├── oneml-bootcamp-x86_64.tar.gz
├── README.md
└── share The compiled C++ applications are in the folder. bin $ tree bin

├── face_detector
├── face_embedder
├── face_id
├── face_verification
└── vehicle_detector Step 3: run sample applications We will run face detection and vehicle detection applications. Our sample applications run models with images in the folder. Change the directory to the folder. oneML assets/images bin $ cd bin To run the face detector application, simply run this command. $ ./face_detector

Faces: 1
Face 0
Score: 0.997635
Pose: Front
BBox: [(43.740112, 85.169624), (170.153168, 173.094971)]
Landmark 0: (109.936066, 95.690453)
Landmark 1: (149.844360, 94.360649)
Landmark 2: (130.055618, 117.397400)
Landmark 3: (112.128708, 137.498520)
Landmark 4: (146.398651, 136.513870) To run the vehicle detection application, simply run this command. $ ./vehicle_detector

Vehicles: 8
Vehicle 0
Score: 0.907127
BBox[top=302.584076,left=404.385437,bottom=486.317841,right=599.864502]
Vehicle 1
Score: 0.899688
BBox[top=301.987000,left=651.770996,bottom=432.352997,right=920.845947]
Vehicle 2
Score: 0.875428
BBox[top=314.573608,left=143.590546,bottom=445.937286,right=367.556488]
Vehicle 3
Score: 0.873904
BBox[top=237.489685,left=100.689484,bottom=303.421906,right=279.191864]
Vehicle 4
Score: 0.842179
BBox[top=243.125473,left=328.062103,bottom=307.927338,right=473.017853]
Vehicle 5
Score: 0.822146
BBox[top=238.680069,left=563.760925,bottom=308.430756,right=705.746033]
Vehicle 6
Score: 0.653955
BBox[top=215.012100,left=477.994904,bottom=252.589249,right=547.705505]
Vehicle 7
Score: 0.620528
BBox[top=213.333237,left=641.528503,bottom=249.301697,right=742.615601] For Windows users Step 0: Install the required tools To build C++ applications on Windows, we need to install these tools as follows: oneML Microsoft Visual Studio 16 2019 or newer CMake 3.17 or newer Step 1: build sample applications We will download library and models, and build sample C++ applications with the script. oneML build.bat > build.bat -t msvc-x64 -cc — clean The library and models are downloaded to . oneML assets\binaries\msvc-x64 > dir assets\binaries\msvc-x64

├── bindings
├── config.yaml
├── include
├── lib
├── oneml-bootcamp-msvc-x64.tar.gz
├── README.md
└── share The compiled C++ applications are in the folder. bin\Release > dir bin\Release

├── face_detector.exe
├── face_embedder.exe
├── face_id.exe
├── face_verification.exe
└── vehicle_detector.exe Step 2: run sample applications We will run face detection and vehicle detection applications. Our sample applications run models with images in the folder. Change the directory to folder. oneML assets\images bin\Release > cd bin\Release To run the face detection application, simply run this command. > face_detector.exe

Faces: 1
Face 0
Score: 0.997635
Pose: Front
BBox: [(43.740120, 85.169617), (170.153168, 173.094971)]
Landmark 0: (109.936081, 95.690453)
Landmark 1: (149.844376, 94.360649)
Landmark 2: (130.055634, 117.397392)
Landmark 3: (112.128716, 137.498520)
Landmark 4: (146.398636, 136.513870) To run the vehicle detection application, simply run this command. > vehicle_detector.exe

Vehicles: 8
Vehicle 0
Score: 0.907128
BBox[top=302.583893,left=404.385590,bottom=486.317871,right=599.864380]
Vehicle 1
Score: 0.899688
BBox[top=301.986755,left=651.771118,bottom=432.352966,right=920.846069]
Vehicle 2
Score: 0.875427
BBox[top=314.573425,left=143.590775,bottom=445.937408,right=367.556946]
Vehicle 3
Score: 0.873901
BBox[top=237.489792,left=100.689354,bottom=303.421936,right=279.191772]
Vehicle 4
Score: 0.842178
BBox[top=243.125641,left=328.062012,bottom=307.927002,right=473.017883]
Vehicle 5
Score: 0.822146
BBox[top=238.680267,left=563.760864,bottom=308.430756,right=705.746338]
Vehicle 6
Score: 0.653957
BBox[top=215.012009,left=477.994873,bottom=252.589355,right=547.705811]
Vehicle 7
Score: 0.620529
BBox[top=213.333160,left=641.528442,bottom=249.301712,right=742.615662] Setup and build Depending on your OS and which programming language you would like to use, the setup and build process are going to be slightly different. Please refer to the relevant section below. Linux On Linux machines, it is always advised to use to create a reproducible workspace and not have to worry about dependencies. If you don’t want to use , feel free to set up your local environment to match the one provided in our . docker docker Dockerfiles Docker build There are multiple Dockerfiles available based on the HW to be targeted for the deployment as well as if the device requires specific build tools or dependencies. There are two different types of docker images: docker images are supposed to provide all the common tools and libraries shared by all the others, more specific, images built on top of them base device/OS-specific, e.g. CPU, GPU, android For a normal CPU environment: $ docker build -t oneml-bootcamp:cpu-base -f docker/Dockerfile — build-arg base_image=ubuntu:20.04 .
$ docker build -t oneml-bootcamp:cpu -f docker/Dockerfile.cpu — build-arg base_image=oneml-bootcamp:cpu-base . For a GPU environment: $ docker build -t oneml-bootcamp:gpu-base -f docker/Dockerfile — build-arg base_image=nvidia/cuda:11.5.1-cudnn8-runtime-ubuntu20.04 .
$ docker build -t oneml-bootcamp:gpu -f docker/Dockerfile.gpu — build-arg base_image=oneml-bootcamp:gpu-base . For an Android environment: $ docker build -t oneml-bootcamp:cpu-base -f docker/Dockerfile — build-arg base_image=ubuntu:20.04 .
$ docker build -t oneml-bootcamp:android -f docker/Dockerfile.android — build-arg base_image=oneml-bootcamp:cpu-base . Apps build We provide a script that will set up the project, prepare the environment and build all the artifacts necessary to run the sample applications. bash $ ./build.sh — help will describe the build script. Here are some examples: To build apps for target: C++ x86_64 $ ./build.sh -t x86_64 -cc — clean To build apps for target: Python aarch64-Linux-gnu $ ./build.sh -t aarch64-linux-gnu -py — clean To build apps for target: C# x86_64 $ ./build.sh -t x86_64 -cs — clean To build apps for target: Java x86_64 $ ./build.sh -t x86_64 -jni — clean To build apps for target: Android aarch64-Linux-android $ ./build.sh -t aarch64-linux-android -jni — clean On , Cuda-enabled GPU is also supported. To build apps for target: x86_64 C++ x86–64-Cuda $ ./build.sh -t x86_64-cuda -cc — clean If is not specified, the existing artifacts will be used and the old build files will not be deleted. --clean oneML Windows We provide support for our library and sample applications for Windows OS as well. Unfortunately, there is no easy way to use our Dockerfiles in this environment, thus the user has to rely on their local environment and make sure all the dependencies are installed before proceeding with the build process and running the applications. Requirements Only Windows 10/11 64-bit is currently supported. Dependencies The following dependencies must be installed for the project to build and run successfully: Microsoft Visual Studio 16 2019 or newer to pull some data from the internet curl to unpack some archives tar CMake 3.17 or newer (for build only) C++ Python 3.6 or newer and (for build only) pip Python (for build only) .NET6 C# JDK 1.8 (for build only) Java Android Studio (for build only) Android Golang 1.15 (for build only) Golang Powershell, a recent version (for any build, but ) C++ Apps build We provide a script that will set up the project, prepare the environment and build all the artifacts necessary to run the sample applications. batch > build.bat — help will describe the build script. Here are some examples: To build apps for target: C++ music-x64 > build.bat -t msvc-x64 -cc — clean To build apps for target: Python msvc-x64 > build.bat -t msvc-x64 -py — clean To build apps for target: C# msvc-x64 > build.bat -t msvc-x64 -cs — clean To build apps for target: Java msvc-x64 > build.bat -t msvc-x64 -jni — clean If is not specified, the existing artifacts will be used and the old build files will not be deleted. --clean oneML CUDA support Currently, the target supports only Cuda 11.x runtime on Linux only. We also plan to support Cuda 10.2 in the future. Moreover, it is built with backward compatibility in mind. supports the following Cuda compute capabilities x86–64-cuda x86–64-cuda 7.5 7.0 6.1 6.0 5.2 5.0 For compute capabilities later than , it might not work. 7.5 API reference C++/Java/Python/C# APIs Golang APIs Usage It is possible to find more details about the usage in each programming language-specific folder in the folder. You can click on the following links: apps C++ apps Python apps C# apps Java apps Golang apps For all the applications, it is possible to set the LOG level of by settings the environment variable to one of the following values: oneML ONEML_CPP_MIN_LOG_LEVEL , to log all the information INFO , to log only warnings and more critical information WARNING , to log only errors and fatal crashes ERROR , to only log fatal crashes FATAL Use cases A wide variety of face-related and ALPR-related applications are available: : detecting numbers of faces in an image by identifying the confidence score, bounding box, landmarks, and poses of each face Face or face masks detection : transforming an image into an embedding which is a list of numbers Face embedding : registering a new identity into a database, validating images or embeddings, and predicting an identity based on identities in the database by calculating the nearest identity distance, combined identity distance, and true/false identifiability of the image Face ID : classifying a spoof probability of the image PAD (Person Attack Detection) : performing liveness detection on images or video by detecting blinks Challenge response : validating a person's identity based on an identification document and a camera picture EKYC (Electronic Know Your Customer) : detecting vehicles and numbers of vehicles using confidence score and bounding box, classifying vehicles, detecting make or model, as well as detecting license plates Vehicle analysis application : Provide an additional set of utilities such as reading an image from a file and cropping and aligning a face in an image Utils Notes A licensing system is integrated into oneML providing features and usage control such as license keys, online or offline activation, expiration date, and trial. For those who are interested to try it out for free for a limited time, let’s explore the public repository via this link below. https://github.com/sertiscorp/oneML-bootcamp

Write Machine Learning Apps Faster With the OneML SDK

Edison's Conquest of Mars by Garrett Putman Serviss, is part of the HackerNoon Books Series. Read this book online for free on HackerNoon! : Edison's Conquest of Mars Title : Garrett Putman Serviss Author : August 29, 2006 [EBook #19141] Most recently updated: September 23, 2015 Release date : English Language Table of Links CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 CHAPTER 5 CHAPTER 6 CHAPTER 7 CHAPTER 8 CHAPTER 9 CHAPTER 10 CHAPTER 11 CHAPTER 12 CHAPTER 13 CHAPTER 14 CHAPTER 15 CHAPTER 16 CHAPTER 17 CHAPTER 18 About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Garrett Putman Serviss (2006). Edison's Conquest of Mars. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/cache/epub/19141/pg19141-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

Edison's Conquest of Mars by Garrett Putman Serviss - Table of Links

Round the year with the stars by Garrett Putman Serviss, is part of the HackerNoon Books Series. Read this book online for free on HackerNoon! : Round the year with the stars Title : Garrett Putman Serviss Author : June 24, 2022 [EBook #68391] Release date : English Language Table of Links Preface Introduction I. The Evening Sky at the Vernal Equinox II. The Evening Sky at the Summer Solstice III. The Evening Sky at the Autumnal Equinox IV. The Evening Sky at the Winter Solstice V. The Planets About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Garrett Putman Serviss (2022). Round the year with the stars. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/cache/epub/68391/pg68391-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html.

Round the year with the stars by Garrett Putman Serviss - Table of Links

The Second Deluge by Garrett Putman Serviss, is part of the HackerNoon Books Series. Read this book online for free on HackerNoon! : The Second Deluge Title : Garrett Putman Serviss Author : October 1, 2005 [EBook #9194] Most recently updated: August 24, 2012 Release date : English Language Table of Links CHAPTERS I. COSMO VERSÁL II. MOCKING AT FATE III. THE FIRST DROPS OF THE DELUGE IV. THE WORLD SWEPT WITH TERROR V. THE THIRD SIGN VI. SELECTING THE FLOWER OF MANKIND VII. THE WATERS BEGIN TO RISE VIII. STORMING THE ARK IX. THE COMPANY OF THE REPRIEVED X. THE LAST DAY OF NEW YORK XI. "A BILLION FOR A SHARE" XII. THE SUBMERGENCE OF THE OLD WORLD XIII. STRANGE FREAKS OF THE NEBULA XIV. THE ESCAPE OF THE PRESIDENT XV. PROFESSOR PLUDDER'S DEVICE XVI. MUTINY IN THE ARK XVII. THE JULES VERNE XVIII. NAVIGATING OVER DROWNED EUROPE XIX. TO PARIS UNDER THE SEA XX. THE ADVENTURES IN COLORADO XXI. "THE FATHER OF HORROR" XXII. THE TERRIBLE NUCLEUS ARRIVES XXIII. ROBBING THE CROWN OF THE WORLD XXIV. THE FRENCHMAN'S NEW SCHEME XXV. NEW YORK IN HER OCEAN TOMB XXVI. NEW AMERICA About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Garrett Putman Serviss (2005). The Second Deluge. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/cache/epub/9194/pg9194.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

The Second Deluge by Garrett Putman Serviss - Table of Links

The Moon: A Popular Treatise by Garrett Putman Serviss, is part of the HackerNoon Books Series. Read this book online for free on HackerNoon! : The Moon: A Popular Treatise Title : Garrett Putman Serviss Author : October 10, 2021 [EBook #66510] Release date : English Language Table of Links Preface Introduction I. —New Moon to First Quarter II. —First Quarter to Full Moon III. —Full Moon to Old Moon IV. —Great Scenes on the Moon About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Garrett Putman Serviss (2021). The Moon: A Popular Treatise. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/cache/epub/66510/pg66510-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

The Moon: A Popular Treatise by Garrett Putman Serviss - Table of Links

The Moon Metal by Garrett Putman Serviss, is part of the HackerNoon Books Series. Read this book online for free on HackerNoon! : The Moon Metal Title : Garrett Putman Serviss Author : May 1, 2005 [EBook #8199] Most recently updated: March 21, 2013 Release date : English Language Table of Links I. SOUTH POLAR GOLD II. THE MAGICIAN OF SCIENCE III. THE GRAND TETON MINE IV. THE WEALTH OF THE WORLD V. WONDERS OF THE NEW METAL VI. A STRANGE DISCOVERY VII. A MYSTERY INDEED! VIII. MORE OF DR. SYX’S MAGIC IX. THE DETECTIVE OF SCIENCE X. THE TOP OF THE GRAND TETON XI. STRANGE FATE OF A KITE XII. BETTER THAN ALCHEMY XIII. THE LOOTING OF THE MOON XIV. THE LAST OF DR. SYX About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Garrett Putman Serviss (2005). The Moon Metal. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/cache/epub/8199/pg8199-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

The Moon Metal by Garrett Putman Serviss - Table of Links

A Columbus of Space by Garrett Putman Serviss, is part of the HackerNoon Books Series. Read this book online for free on HackerNoon! : A Columbus of Space Title : Garrett Putman Serviss Author : August 1, 2005 [EBook #8673] Most recently updated: August 25, 2012 Release date : English Language Table of Links CHAPTER I. A MARVELOUS INVENTION II. A TRIP OF TERROR III. THE PLANETARY LIMITED IV. THE CAVERNS OF VENUS V. OFF FOR THE SUN LANDS VI. LOST IN THE CRYSTAL MOUNTAINS VII. THE CHILDREN OF THE SUN VIII. LANGUAGE WITHOUT SPEECH IX. AN AMAZING METROPOLIS X. IMPRISONMENT AND A WONDERFUL ESCAPE XI. BEFORE THE THRONE OF VENUS XII. MORE MARVELS XIII. WE FALL INTO TROUBLE AGAIN XIV. THE SUN GOD XV. AT THE MERCY OF FEARFUL ENEMIES XVI. DREADFUL CREATURES OF THE GLOOM XVII. EARTH MAGIC ON VENUS XVIII. WILD EDEN XIX. THE SECRET OF THE CAR XX. THE CORYBANTIA OF THE SUN XXI. THE EARTH About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Garrett Putman Serviss (2005). A Columbus of Space. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/cache/epub/8673/pg8673.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

A Columbus of Space by Garrett Putman Serviss - Table of Links

Astronomy with an Opera-glass by Garrett Putman Serviss, is part of the HackerNoon Books Series. Read this book online for free on HackerNoon! : Astronomy with an Opera-glass Title : Garrett Putman Serviss Author : July 15, 2011 [eBook #36741] Release date : English Language Table of Links Introduction The Stars of Spring The Stars of Summer The Stars of Autumn The Stars of Winter The Moon, the Planets, and the Sun About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Garrett Putman Serviss (2011). Astronomy with an Opera-glass. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/cache/epub/36741/pg36741-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

SERTIS

sertiscorp.com

51-200 employees

Since 2014

COMPANY RANKING

SERTIS

EVERGREEN INDEX #10008

Representing this company? Click here to claim and customize this page!

Sertis WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

SERTIS

sertiscorp.com

51-200 employees

Since 2014

COMPANY RANKING

SERTIS

EVERGREEN INDEX #10008

RELATED COMPANIESRANK

STORIES ABOUT SERTIS

Representing this company? Click here to claim and customize this page!

Sertis WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!