The Next AI Blog

Stay informed with the latest updates on synthetic data.

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As Computer Vision Explodes, Data Collection Needs To Change, Too.

Nowadays, there’s a lot of talk about Computer Vision and its potential impact on a wide range of fields and applications. And it’s not just talk; spending on Computer vision R&D is rapidly growing, with an estimated CAGR of 31.6%.  The ability of cameras and computers to not just see but understand the world around...
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Quality at Scale: How Advances in Computer Graphics Tools are Enabling Data Generation

In recent years, advances in synthetic data generation have promised a solution to the data bottleneck in machine learning network training. Rather than collecting and annotating data by hand, we’re getting better at creating it programmatically. But, while synthetic data has shown huge promise in fields like medical imaging, autonomous vehicles, and fraud detection, it...
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Robotics in the Age of Corona: More Interest, Less Data

We are only halfway through 2020 and, already, COVID-19 is has reshaped how societies around the world navigate their dependence on face-to-face, close-proximity human interactions for everything from providing medical care to operating restaurants to offering social interaction to isolated populations. In an effort to minimize the risks to front-line workers while providing these critical...
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Corona is Making Training Data-Gathering Harder: Key Industries and Challenges

Covid-19 has affected every corner of the globe – taking lives, destroying livelihoods, and shaping our world for the foreseeable future. Passenger traffic at airports has plummeted and, with 81% of the global workforce living in countries with mandatory or recommended workplace closures, we have all seen the striking images of cities around the world...
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Types of Training Data Bias You May Not Know About

“AI algorithms are only as good as the data used to train them.” This common cliche is bandied about in almost every conversation involving AI. But, like many cliches, its overuse doesn’t affect its fundamental truth. In today’s world, the vast majority of AI applications are based on the deep learning algorithms and how these...
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Research Roundup: Training with Synthetic Data

At Datagen, we’re actively investing in academic collaborations and benchmarking research that can further establish the effectiveness of training computer vision algorithms with simulated or synthetic data. Fortunately, a large body of work already exists, exploring the advantages and challenges of this approach. We’ve collected some of them here, for anyone interested in learning more...
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