Magisto CamCrew – Video Script

To showcase a developer engagement featuring its facial processing and facial recognition technologies, the Qualcomm Developer Network asked venTAJA to write a case study on Magisto’s CamCrew app. They also commissioned a demonstration guide for the app, from which a related video script evolved.

Magisto CamCrew Video Script

Qualcomm Developer Network – eBooks

In addition to keeping its developer community abreast of new and updated products, Qualcomm Developer Network provides content on broader trends and topics like entrepreneurship and technology adoption. It engaged venTAJA to write an eBook on innovation based on a panel it sponsored at Android Developer Conference (AnDevCon).

Fast Track to Innovation

Various Technology Companies – Blog Posts

For the corporate blogs of several technology clients, venTAJA contributes ideas for and helps draft posts on a variety of topics.

Qualcomm Developer NetworkQuest SoftwareAT&T Networking ExchangenComputingRightScaleServiceNowQualcomm OnQ

Qualcomm Developer Network – Case Studies

The Qualcomm Developer Network attracts game vendors through software developer kits (SDKs) that expose hardware resources on Qualcomm’s mobile processors. venTAJA has written numerous case studies to describe the technical details and business advantages of developing on Qualcomm processors, particularly Snapdragon.

Qualcomm Developer Network Showcase

Qualcomm Developer Network – Pricing Study

As part of its ongoing effort to build strong relationships with mobile application developers, Qualcomm and Brew Managed Services conducted a pricing study. With a major developer and publisher of mobile games, they analyzed the effect of pricing changes on volume and revenue, then engaged venTAJA to turn the results into a well-documented business overview that demonstrated the company’s dedication to developers’ financial as well as technical success.

“How Can I Price My Games to Get More Revenue?”

Qualcomm Developer Network – Blog Post

To kick off the Comic-Con International convention, Nerdist and Lucasfilm created Course of the Force, an Olympic-style Lightsaber relay run between San Francisco and San Diego, California. The official mobile app for the event featured geolocation, beacon and augmented reality technologies from Qualcomm, which engaged venTAJA to help draft a blog post on the project.

Course of the Force – The Developer Strikes Back

Qualcomm Developer Network – Case Study

Qualcomm’s Snapdragon processor includes the Hexagon DSP. To encourage more DSP customization, the Qualcomm Developer Network engaged venTAJA to create a case study around Audyssey, who implemented high-performance audio algorithms on the Hexagon SDK.

Audyssey: Studio-Reference Sound on the DSP

myDragonBoard.org – Blog Posts and Web Content

IC designers have built single-board computers (SBCs), systems-on-module (SOMs) and development kits around the Snapdragon family of application processors. They started myDragonBoard.org and engaged venTAJA to help draft blog posts and Web content for their community of hardware engineers, component vendors, makers, hobbyists and academics.

“And the Maker Month DragonBoard Contest Winner Is…”

Qualcomm Developer Network – Blog Post

To stimulate the imagination of its developer community and showcase the DragonBoard development platform, Qualcomm’s Thinkabit Lab pulled together talent in engineering, design, fashion, robotics and software to create a robot dress. The Qualcomm Developer Network engaged venTAJA to write a series of blog posts about the development path from inception to world premiere of the robot dress.

Wearable Robotic Fashion: Tentacles, Fabric & DragonBoard 410c

Qualcomm Developer Network – Application Note

Qualcomm engineers heard from developers keen to accelerate matrix multiply (MM) operations for convolutional neural networks in their deep learning (DL) apps. The Qualcomm Developer Network engaged venTAJA to work on an application note as a series of blog posts about accelerating deep learning on Qualcomm’s Adreno GPU.

Matrix Multiply for Deep Learning on Adreno GPUs –

Part 1: OpenCL OptimizationPart 2: Host Code and Kernel