Histórias de sucesso

Confira estas conquistas de desenvolvimento de software e sucessos nos negócios.

Filtrar por:

CERTIFACE E INTEL, juntos no combate às Fraudes Certiface é um aplicativo para a certificação de pessoas via web. Utiliza tecnologia de ponta em biometria facial para evitar a duplicidade das faces e combater as práticas de fraude. Seu sistema opera em nuvem, a identidade do cliente é preservada e não existe contato físico.
Developer Success Stories Library
Intel® Parallel Studio XE | Intel® System Studio  | Intel® Media Server Studio Intel® Advisor | Intel® Distribution of OpenVINO™ Toolkit | Intel® Data Analytics Acceleration Library 
Page icon
How AI is Helping Us Better Understand the Environment
Success Story: Researchers use AI techniques to help understand ecosystems better to analyze the complex interactions and patterns in our environment.
Intelligent and Real-Time Video Background Removal on Intel® Graphics Technology Using XSplit VCam XSplit VCam was developed by SplitmediaLabs to bring advanced-quality video background removal solution to the game streaming market.
Inside the Gamerpunk World of QC Games’ Breach*
Once people get their hands on the game, QC Games will track their feedback to see what kind of content they want
How Holospark* Is Making Earthfall’s Alien Invasion* Worth Repeating
Going down the co-operative route allowed Holospark to give players all sorts of toys and empowering moments.
New Zealand-based Digital Confectioners*Leave Contract Work High and Dry
New Zealand-based Digital Confectioners* want to develop their own games, free from publishers and investors.
Certain Affinity* Is Ready for the Limelight with Games as a Service Model
Certain Affinity has made a name for itself as a co-developer, but the studio is undergoing significant changes
Phantom Doctrine Is a Tactics Game Built of Cold War Paranoia
With Phantom Doctrine, the idea is to blend classic genres and classic ideas with a fresh and liberating setting
Improve Biomedical Image AI Training and Analysis
New techniques increase the accuracy of deep neural network training of class-imbalanced biomedical image data.