Encord in the news

Ulrik, Co-Founder & President at Encord, shares his thoughts on synthetic data, and Deepmind’s SynthID, with Forbes.

Technology such as Hawk-Eye and VAR is already a key part of some sports.

Ulrik, Co-Founder & President at Encord, shares his thoughts on Apple's new LLM with Fortune.

Frederik, Lead ML Engineer at Encord, shares his thoughts on the ethical implications open-source AI development with Fortune.

The field of machine learning is constantly evolving and the emergence of foundation models is transforming the way we approach the development and deployment of machine learning models.

Dr Andreas Heindl, ML Product Manager at Encord, shares his thoughts on the future of data labeling with The Telegraph.

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.

Ulrik Stig Hansen, Encord President & Co-Founder, shares his thoughts on predictive vs generative AI with VentureBeat.

Ulrik Stig Hansen, Encord Co-Founder & President, shares his thoughts on GPT-4 with Computerworld.

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.

Mundane tasks & inefficient data sourcing are sucking time from healthcare professionals. Encord’s AI is here to change that with democratised healthcare.

Eric Landau shares his thoughts on the difficulty on closing the AI prototype to production gap, and how it can be closed with active learning.

Lead ML Engineer at Encord Frederik Hvhilshoej shares his thoughts on deploying ML on the edge with VentureBeat.

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.

Encord Active is a free open source industry-agnostic toolkit that enables machine learning (ML) engineers and data scientists to understand and improve their training data quality.

Esben Thorius, Co-Founder at Teton.ai, and Eric Landau, CEO of Encord, discuss how AI technology can help to solve the nursing shortage in hospitals

BetaNews spoke to Eric Landau, founder and CEO of Encord, to find out more about the benefits and challenges of using AI in the healthcare sector.

Ulrik Stig Hansen provides his take on the key areas in which AI will thrive in 2023, despite the economic headwinds.

Ulrik Stig Hansen and Eric Landau co-founders of Encord talks to Health Tech World how there’s an “urgent need” to answer questions around AI bias in healtcare.

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.

Thanks to a growing number of high-growth artificial intelligence startups locating in the area, the West End may soon be considered the UK’s latest AI cluster and a global hub for the industry.

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.

Bias in AI is arguably the biggest challenge for innovators: Ulrik Stig Hansen and Eric Landau co-founders of Encord, share their insights with Health Tech World.

Frost & Sullivan took a closer look at how artificial intelligence will impact radiology, and how companies like Encord are playing a vital role in this growth.

We have been included in a group of 23 startups in areas such as AI and quantum computing are attracting more capital as VCs eye up founders that can drive next-generation innovation.

How Encord strings a powerful cord between technology and healthcare professionals by using futuristic data-centric computer vision.

Game-changing innovation enabled by Encord data labeling was on show as the Royal Navy continues its commitment to deliver the latest technology to the frontline of operations.

Encord has developed the first-ever tool to help address the growing problem of detecting human errors in data labeling.

Computer vision projects often fail. In this post, Eric Landau discuss 4 important questions to ask before investing heavily in building machine learning to solve business problems.

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.

What do people get wrong about AI and what are the biggest mistakes people make when it comes to big data?

Most startup founders will agree that having a first-mover's advantage by reducing time to market is an essential part of their long-term success strategy.

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.

Encord continues record growth with its new micro-model approach, automating an archaic annotation process with $12.5M in new funding.

Encord, a startup automating annotation processes for computer vision, today announced that it raised $4.5 million in a seed round led by CRV.

Iværksættere stiftede startup over en øl på den lokale pub – et år senere får de millioner fra Silicon Valley-venturefond

Developing an AI model took an average of 1 year, the new annotation system compressed that time to 2 to 3 months.

Dansker bliver del af verdensberømt iværksætter-program: Startup skal revolutionere kunstig intelligens