Endava - gostujuće predavanje
Presentation name: Peek into machine learning solutions
Time: 11.06.2021. at 16:30.
About presentation
In this presentation you will be able to see a high variety of ML pipelines used for solving problems from different domains. Focus will be on showing different areas where ML can be used to solve complex problems.
This will include but it is not limited to:
- YOLO (Object-detection architecture used to detect objects on images)
- TransUnet (3D semantic segmentation for medical images)
- GPT-3 model (One of the biggest model for Natural language processing)
- Stylegan2 (Generative adversarial network used to generate and augment images)
Come and see how far we got, and how far are we from a scenario where AI is taking over the world.
The future is already here – it's just not evenly distributed. -William Gibson
About the company
Endava is reimagining the relationship between people and technology. By ideating and delivering dynamic platforms and intelligent digital experiences, we help our clients fuel the rapid, ongoing transformation of their business. Leveraging next-generation technologies, our agile, multi-disciplinary teams provide a combination of Product & Technology Strategies, Intelligent Experiences, and World Class Engineering to help our clients become more engaging, responsive, and efficient. Endava has around 8000 employees, located in close to client locations Along with investing in long-term customer relationships, Endava recognized the importance of providing rewarding and challenging careers for our people and, by doing so, has established itself as the employer of choice in certain regions.
Presentation name: Peek into machine learning solutions
Time: 11.06.2021. at 16:30.
About presentation
In this presentation you will be able to see a high variety of ML pipelines used for solving problems from different domains. Focus will be on showing different areas where ML can be used to solve complex problems.
This will include but it is not limited to:
- YOLO (Object-detection architecture used to detect objects on images)
- TransUnet (3D semantic segmentation for medical images)
- GPT-3 model (One of the biggest model for Natural language processing)
- Stylegan2 (Generative adversarial network used to generate and augment images)
Come and see how far we got, and how far are we from a scenario where AI is taking over the world.
The future is already here – it's just not evenly distributed. -William Gibson
About the company
Endava is reimagining the relationship between people and technology. By ideating and delivering dynamic platforms and intelligent digital experiences, we help our clients fuel the rapid, ongoing transformation of their business. Leveraging next-generation technologies, our agile, multi-disciplinary teams provide a combination of Product & Technology Strategies, Intelligent Experiences, and World Class Engineering to help our clients become more engaging, responsive, and efficient. Endava has around 8000 employees, located in close to client locations Along with investing in long-term customer relationships, Endava recognized the importance of providing rewarding and challenging careers for our people and, by doing so, has established itself as the employer of choice in certain regions.
