Using artificial intelligence (AI) and computer vision and partnering with Encord, Pollenize is developing a prototype device that will be able to detect Asian Hornets and save the UK's honey bee population.
Eric Landau, Encord Co-Founder & CEO, shares his lessons at AI at Scale 2023. Specifically, the hard lesson that many companies learn between getting their models from a proof-of-concept state to the real world is that there's this additional set of requirements that come after you've already developed the first model.
As the AI revolution accelerates and the number of use cases for machine learning continues to grow, more and more machine learning teams are pursuing edge ML. Encord's ML Lead, Frederik, shares his thoughts.
AI-assisted platform provider Encord has released a free open source industry agnostic toolkit designed to enable machine learning (ML) engineers and data scientists to understand and improve their training data quality and help boost model performance.
In this TheSequence guest post, Eric Landau, CEO of Encord, discusses the three major model failure modes that prevent models from reaching the production state and shows how to solve all three problems with a single methodology.
As artificial intelligence becomes ubiquitous in business, non-tech companies need to learn how to use their data to gain a competitive edge. Companies that are trying to decide where and how to use AI should take four steps.
We were admitted to the prestigious list of companies CB Insights has recognized as the most promising private artificial intelligence companies. The companies on last years list have raised $6 billion, including 20 mega-rounds worth more than $100 million.
The first truly native DICOM tool for machine learning annotation with full pixel intensity rendering capabilities - 20,000+ pixels compared to just 256 in a regular browser canvas, windows defined by Hounsfield units, coronal, axial, and sagittal views - and much more.