Eskil Steenberg

Eskil Steenberg


Re-enginering the fundamental internet protocolls.

Modern Code, Networking

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Unravel is my project to reengineer the internet (DNS and up). It will replace messaging, chat, social networking, search, media and file shareing, and a whole lot more. It will be open source and alow anyone to build anything they want on top of it. It will be built to be secure, and provide privacy, veryfyability.

At its core Unravel will be a mesh distributed database with an API to access the data. It makes heavy use of checksums and ECC encryption for encryption and verification. It is written in C for maximum preformance, and is built to run on anything from an enbeded device, to a phone, a PC or a super computer.

I dont like what the internet has become. Especialy I don't like the cloud. Today most comunication online happens using walled guarden intermediaries who store and inspect and triage everything. There shouldnt need to be any intemidiares to do any of the things we want to do, but right now we have to. I think that who controls information matters. I think that privacy matters. I think the user should be in charge, of what they see, and who they comunicate with, the software they run, and what information they store and share.

Maybe the rest of the world dont care about any of this. Maybe everyone else is happy with the internet we have. I'm fine with that, I'm just not fine with there not being any other options. Thats what im doing, I'm building another option, because I can, and because someone should.



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Anthony C. created project gRPC framework to support application to utilize the Cache Allocation Technology of Intel's RDT

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gRPC framework to support application to utilize the Cache Allocation Technology of Intel's RDT

Network Functions Virtualization ( NFV ) and Service Function Chaining ( SFC ) have moved from idea to POC to implementation stage . The challenge still remains to get bare metal performance from virtual machines . Resource Director Technology (RDT) from Intel is designed to bring in QoS to the virtual machine resources. gRPC from Google is a framework which could be used to design priority based services . This project integrates these technologies and creates a framework for more reliable and efficient services via gRPC enhanced with RDT.

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Ravi K. updated status

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Ravi K

Hi, I am very eager to learn AI technologies, I am master student at Governors State University,Chicago.

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Timothy P. created project MR. Configurator Tool

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MR. Configurator Tool

This tool was designed to speed up calibration of your MR setup. This article explains how to use the tool and help you get the most out of your MR experiences. For VR users and streamers, making MR videos is a great way to show a different perspective to people who aren’t wearing a head-mounted display (HMD), while for VR developers, MR videos are a great way to create trailers and show a more comprehensive view of the VR experience.

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Basavaraj H. created project Apparent/Real Image Estimation using Deep Learning

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Apparent/Real Image Estimation using Deep Learning

IMDB-WIKI age dataset processing and data loading into PyTorch model Fine tune VGG16 pre-trained on ImageNet using IMDB-WIKI database to estimate real age Train the fine-tuned model using LAP database to estimate apparent age Real age estimation is evaluated using MAE Used Ensemble 8 VGG16 nets to estimate the apparent age

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Makiko K. created project Smarter Wireless Power Transfer Technology

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Smarter Wireless Power Transfer Technology

Wireless Power Transfer Technology enables people charging devices without a physical connection to the battery source. There are two main methods: Magnetic Inductance and Magnetic Resonance.

Magnetic Inductance charges devices within proximity. Magnetic Resonance, in turn, can charge further.

This project is an early proposal to evaluate how the different possible variables can impact the efficiency of the system, i.e., how fast can the device be charged subject to the distance, for example, material, object collision, room temperature, etc impact on the efficiency of the device.

Subject to these variables, the AI component of this project seeks to create a "smart wireless power charger", which reading through sensors the various conditions of the environment suggest the optimal distance for energy charging and placement without compromising the comfort of the user.

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Aashiq J. updated status

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Bob D. added a comment on project AI Skin Cancer Detection

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AI Skin Cancer Detection

Between 40 and 50 percent of Americans who live to age 65 will have either basal cell carcinoma or squamous cell carcinoma at least once.

The annual cost of treating skin cancers in the U.S. is estimated at $8.1 billion: about $4.8 billion for nonmelanoma skin cancers and $3.3 billion for melanoma.

An estimated 9,730 people will die of melanoma in 2017.

The estimated 5-year survival rate for patients whose melanoma is detected early is about 98 percent in the U.S. The survival rate falls to 62 percent when the disease reaches the lymph nodes, and 18 percent when the disease metastasizes to distant organs

Our project plans to train and classify skin cancer types so that user can try to detect cancer in the real time. When detected with high confidence score, user will be given suggestion to see dermatologist for effective treatments.

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Nitin Mane

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Chicago, IL, USA

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Tejpal Singh

407 E Fort St, Detroit, MI 48226, USA

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Zac Lu

13621 NE 126th Pl #400, Kirkland, WA 98034, USA

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