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Landing.AI hires vision expert Dechow to correct the Big Data fallacy

ZDNet

The field of deep learning has been suffering from what you might call a Big Data fallacy, the belief that more and more data is always a good thing. It may be time to focus on quality rather than just quantity. "There's a very fundamental problem that a lot of AI faces," said Andrew Ng, founder and CEO of Landing.AI, a startup working to perfect the technology for industrial uses, in an interview with ZDNet this week. "A lot of AI is focused on maximizing the number of calories, which works up to a certain point," he said. "And sometimes you do have a lot of data, but when you have a small data set, it's more the quality of the data rather than the sheer volume."


Why AI software companies are betting on small data to spot manufacturing defects

#artificialintelligence

To the uninitiated, a tiny stain on several yards of car seat upholstery or a minuscule gas bubble on the surface of an industrial oil pipe might seem like an insignificant imperfection. But factory inspectors are always on the lookout for these sorts of defects, because they can create serious slowdowns in time-sensitive manufacturing production schedules. Cameras and computer vision software have been used to spot product flaws in manufacturing facilities for decades, but today companies including Landing AI and Mariner are helping take defect detection to the next level with AI software. Rather than offering off-the-shelf AI, these companies are betting that manufacturers want highly customized algorithmic models to monitor for product defects. And they have another selling point that flies in the face of what we know about most big data-hungry AI systems: Their models work using very small datasets.


Landing AI: Unlocking The Power Of Data-Centric Artificial Intelligence

#artificialintelligence

Artificial intelligence (AI) has been hugely transformative in industries with access to huge datasets and trained algorithms to analyze and interpret them. Probably the most obvious examples of this success can be found in consumer-facing internet businesses like Google, Amazon, Netflix, or Facebook. Over the last two decades, companies such as these have grown into some of the world's largest and most powerful corporations. In many ways, their growth can be put down to their exposure to the ever-growing volumes of data being churned out by our increasingly digitized society. But if AI is going to unlock the truly world-changing value that many believe it will – rather than simply making some very smart people in Silicon Valley very rich – then businesses in other industries have to consider different approaches.


Landing AI: Unlocking The Power Of Data-Centric Artificial Intelligence

#artificialintelligence

Artificial intelligence (AI) has been hugely transformative in industries with access to huge datasets and trained algorithms to analyze and interpret them. Probably the most obvious examples of this success can be found in consumer-facing internet businesses like Google, Amazon, Netflix, or Facebook. Over the last two decades, companies such as these have grown into some of the world's largest and most powerful corporations. In many ways, their growth can be put down to their exposure to the ever-growing volumes of data being churned out by our increasingly digitized society. But if AI is going to unlock the truly world-changing value that many believe it will – rather than simply making some very smart people in Silicon Valley very rich – then businesses in other industries have to consider different approaches.


AI Pioneer Andrew Ng's Startup Raises $57 Million In Series A

#artificialintelligence

The founder of Google Brain research lab, Andrew Ng, has raised $57 million in Series A funding for his startup -- Landing AI, led by McRock Capital, the first investment firm focused exclusively on the Industrial IoT. AI pioneer Andrew Ng's startup provides tools that make building and deploying AI systems in manufacturing faster and easier. "I'm thrilled LANDING AI has closed a $57M Series A for our Data-centric MLOps platform for computer vision. Industrial AI needs a different recipe than Internet companies. It's time to make cutting-edge AI fast and easy for anyone to use," said Andrew Ng, Founder & CEO of Landing AI in a post.