Top Posts
Introducing Field Extraction: Automate Data Extraction at Scale
Eolas Medical Enhances Clinical Knowledge Access with Agentic Document Extraction
Agentic Document Extraction: Live Demo & the Steps You Need to Get Started
Auto-Fill Job Applications with Agentic Document Extraction
Introducing Field Extraction: Automate Data Extraction at Scale
Over the past four months, LandingAI’s Agentic Document Extraction tool has seen rapid adoption across industries. Motivated by this momentum, our team has been hard at work expanding the tool’s capabilities. We’re excited to introduce a major new feature: Field Extraction. What Is Field Extraction? Field Extraction enables you to extract structured data directly from […]
Eolas Medical Enhances Clinical Knowledge Access with Agentic Document Extraction
About the Customer Eolas Medical is a leading healthcare technology company dedicated to streamlining access to medical knowledge right at the point of care. Founded by Dr. Declan Kelly, an emergency medicine physician by background, Eolas translates to “knowledge” or “information” in Irish, reflecting the company’s mission to empower clinicians with rapid, reliable access to […]
Agentic Document Extraction: Live Demo & the Steps You Need to Get Started
In this webinar, learn about Agentic Document Extraction (ADE), an agentic vision technology that revolutionizes how you extract and process structured data from complex documents. Designed for developers, this webinar demonstrates how ADE leverages layout-aware parsing, visual grounding, and agentic workflows to deliver high-accuracy extraction—without the need for manual template configuration or model fine-tuning. What […]
Auto-Fill Job Applications with Agentic Document Extraction
I’m sure—like myself and millions of others—you’ve spent hours copying and pasting the same information into job applications 🥱🎯. In this tutorial, we’ll walk through how you can build a powerful automation tool that extracts key data from your resume and fills out LinkedIn job applications for you—automatically! Thanks to LLMs, “developer” is now a […]
Pioneering The Data-Centric AI Movement Tune into this DataCloudNow conversation between host Ryan C. Green and LANDING AI’s CEO Andrew Ng and COO Dan Maloney to learn how LandingAI is pioneering the data-centric AI movement, which enables companies with limited data sets to realize the business value of AI and move AI projects from proof […]
Introduction Several papers have come out recently showing how to run large language models with much less memory so they can be and infer on smaller devices such as LLM.int8() and QLoRA. I wanted to better understand how they work and also apply them to transformer vision models. In this blog post I’ll go through the different types of […]
LandingAI introduces LandingEdge, a new deployment application within the company’s flagship platform, LandingLens. With LandingEdge, manufacturers will more easily deploy deep learning visual inspection solutions to edge devices on the factory floor to better and more consistently detect product defects. Learn More
LandingLens Expands Footprint to Empower More Factories to Implement Better and More Consistent Automated Inspection DETROIT, Michigan, June 6, 2022 — LandingAI today announced the launch of LandingEdge, a new deployment application within the company’s flagship platform, LandingLens. With LandingEdge, manufacturers will more easily deploy deep learning visual inspection solutions to edge […]
Dayanne Fernandes Software Development Engineer Melisa Martínez Martínez Operations Specialist Nikki Angco Senior Executive Administrator Nathaly Dominguez Financial Controller Yan Liu UX Designer Allison Yu Machine Learning Engineer Hannah Griffin HR/EA/OPS Associate Grace Lee Senior Product Marketing Manager Jennifer Hyon Marketing Programs Manager Who is a historical female figure who inspires you? Dominguez: “Mary Jackson, Katherine […]
David Dechow: For an end user to approach selecting a systems integrator in the machine vision marketplace, as well as one experienced in deep learning technology, in addition to the broader field of machine vision, some of the important things kind of cross over. The idea that the integrator should have familiarity with an industrial […]
David Dechow: So as you know I’ve recently started with LandingAI, coming from a machine vision, a long machine vision background, and some of the things that really have excited me about LandingAI are number one the culture of the team, the culture of the company, to engage with the customer and provide a successful […]
David Dechow: After many years in the machine vision industry, it’s incredible to say but as mature as the industry is, but I still get excited by how much new is constantly available for us to work with and to consider and to be part of in the machine vision industry. The industry has continued […]
David Dechow: There really are many verticals that can benefit from the implementation of this kind of an enabling technology in the plant floor environment. And not to be flippant about it, but it really extends to virtually all manufacturing verticals. Some of the areas where I see a lot of potential and a lot […]
David Dechow: There have been a lot of trends and changes in machine vision in recent years and it’s kind of an ongoing thing in this industry. Over a good five decades now, machine vision has evolved, both technologically and commercially in the marketplace, and that hasn’t really slowed and we see that as evidenced […]
David Dechow: Let’s consider a couple of projects that I’ve had visibility on that involved deep learning from the start of the project through the end of the implementation. One is an application involving a bottling process, a capping process specifically, and the important thing to think about is the start of the process always […]
Andrew Ng: Deep learning is not only expanding the set of applications that machine vision can now address, it is also improving the reliability of these systems. And the key to that is the Data-Centric approach, in which getting the right images to show to the system is what allows it to derive those reliable […]
David Dechow: Deep learning and AI at a company level from the top down the CEO, the C-Suite, enablers of the technology, down to the plant floor, has a lot of attractive attributes that may or may not be obvious to the plant CEO or to the corporate CEO as they think about deep learning […]
David Dechow: The LandingAI product offering is, the flagship of this offering is the Landing Lens product, which allows and facilitates collaborative labeling and classification of images relative to specific defects within the image based on subjective decision-making by a human labeler or a human classifying the images. We always go back to the fact […]
Andrew Ng: Day one of LandingAI over four years ago, we made a commitment to machine vision and industrial automation. And as CEO of the company and someone with an AI/tech background on a personal note, I think has been really fun and enjoyable and I’m really grateful to all the people in the industrial […]
David Dechow: Truly one of the keys to successful implementation of machine vision at the plant floor level, whether it be traditional industrial machine vision or deep learning as part of a machine vision inspection solution, is to apply and execute a competent and well thought out workflow of implementation of that technology. To be […]
Andrew Ng: Today there are a lot of general purpose deep learning tools, some which are very good, which they use from everything to online advertising to finding pictures of cats and dogs. But there is often a gap between these tools and what’s needed in an industrial automation setting. That’s why LandingLens is designed […]
Andrew Ng: Deep learning is a disruptive technology that is enabling computers to do many things that just were not possible before. Over the last decade, we’ve already seen deep learning transform and disrupt the consumer software internet industry and we’re seeing that to even remain competitive, all of the large consumer software internet companies […]
David Dechow: If I were to work with a machine vision engineer or a plant manager familiar with machine vision as an enabling technology in automation, and try to explain to them how they could approach certain applications with deep learning, I would start by advising them to analyze the application and understand what […]
David Dechow: The thing about AI and we’ll more specifically target that as DL, deep learning, is that it handles imaging and handles the images a little bit differently than traditional machine vision, and allows us to do subjective analysis in a much better and an easier way than we have been able to in […]
David Dechow: What I find when I talk to people at the plant floor level, at the plant management level, and even whether they are machine vision experts, deep learning experts, or machine vision novices, I find that some of the things I end up talking about that really helps the customer, really helps the […]