This paper describes how Bondzai’s event-driven continuous learning permits to avoid catastrophic forgetting problems in deep neural networks.
CATEGORY: News
Bondzai at AI Virtual Tech Talks
Bondzai will participate to a ARM AI tech talk on the 22nd of november at 5pm french time.
Event-driven continuous and real-time embedded few-shot learning by Bondzai
This paper describes how we proceed with continuous machine learning (ML) at Bondzai and why we think this is a ‘must-have’ when targeting industrial applications…
UX Designer
Experience in the design process end-to-end from conceptualization to production of Web and Digital Application UX
Engineering: Embedded Software Engineer
Contribute to design, developpment, and maintainance of Davinsy embedded systems in products, including software development. Requires global knowledge of embedded systems. A 'nice to have' will be previous experiences with embedded AI models.
Engineering: AI Engineer
Experience in combining edge computing and AI, including the latest both supervised and unsupervised learning, including the latest deep learning algorithms and machine learning frameworks such as TensorFlow, TensorFlow Lite, Tensor RT, PyTorch.
Marketing: CPO
Our CPO should have fast-growing and venture-backed AI startup seeks. Understanding of theory, practice, and limitations of embedded deep learning. Top-notch communication skills are essential. will be responsible for all Davinsy product-related matters. That includes...
Marketing : CMO
In charge of sales channels, distributions and partnerships.
Deeplomath: Davinsy’s embedded deep learning kernel. Continuous event-driven few-shot learning to avoid ML models drift due to data bias.
Davinsy, our autonomous machine learning system, integrates at its core Deeplomath, a deep learning kernel continuously learning from real-time incoming data…
Deeplomath: Davinsy’s embedded deep learning kernel. Model drift, Computational efficiency and MLOps.
Davinsy, our autonomous machine learning system, integrates at its core Deeplomath, a deep learning kernel continuously learning from real-time incoming data…