This blog post was originally published at Hasty’s website. It is reprinted here with the permission of Hasty. The previous post featuring our results on the PASCAL VOC 2012 cleansing project was successful. We attracted your attention and got you talking about the Data-centric AI development approach on Reddit and the Slack communities. There was […]
Further Pascal VOC 2012 Exploration and Plans for the Future Read More +
This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Artificial intelligence (AI) and machine learning (ML) significantly impact the retail world, particularly for companies that rely on online sales, where using some kind of AI technology is very common nowadays. Big players like eBay, Amazon or
The Guide to AI and Machine Learning in Retail: Applications and Use Cases Read More +
This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. Today, ST is officially becoming a member of MLCommons™, the consortium responsible for benchmarks quantifying machine learning performance in mobile platforms, data centers, and embedded systems, among others. The initiative enables engineers and decision-makers to grasp where
ST Joins MLCommons: Why One Benchmark Can Help Teams Adopt Machine Learning At the Edge Read More +
This blog post was originally published at CEVA’s website. It is reprinted here with the permission of CEVA. Mobile computing has driven an explosion in product opportunities – smartphones, wearables, hearables, sports cameras, and more. Sensing will further extend opportunities in applications which must be environment-aware. Now it’s commonplace to think about object recognition and
Sensors, Sensors Everywhere. Now What Do I Do? Read More +
This blog post was originally published by Outsight. It is reprinted here with the permission of Outsight. If LiDAR is such an attractive technology, why aren’t we seeing it used more often? From smart cities to autonomous machines, companies in both the public and private sectors are increasingly looking to leverage the benefits of 3D
What’s a 3D LiDAR Preprocessor? Read More +
Automatic forest fire detection system with AI enables early and efficient fire fighting Heat waves caused by climate change are currently also increasing strongly across Europe and the associated risk of forest fires is rising immensely. Fires in natural areas are increasingly getting out of control due to drought or wind, and the risk of
Fire Detected, Fire Banned Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. In Exploring AIMET’s Post-Training Quantization Methods, we discussed Cross-layer Equalization (CLE), Bias Correction, and AdaRound in AIMET. Using these methods, the weights and activations of neural network models can be reduced to lower bit-width representations, thus reducing
Exploring AIMET’s Quantization-aware Training Functionality Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Low latency streaming ensures there are only negligible lags while capturing high-quality, real-time images. Discover four important factors that affect low latency streaming and the use cases where it can make a huge difference. In
What is Low Latency Camera Streaming? Read More +
This blog post was originally published by SOYNET. It is reprinted here with the permission of SOYNET. To deliver the best end-user experience for your consumers, lower the cost of AI installations, and increase ROI for your AI initiatives, AI inference performance at scale is crucial. Currently, businesses face many problems in implementing AI in
SoyNet, a Fast and Affordable Solution for Inference Optimization Read More +
This blog post was originally published at Hailo’s website. It is reprinted here with the permission of Hailo. When choosing an object detection network for edge devices, there are many factors you should consider: compute power, memory resources, and many more. Which ones? This blog post outlines everything you need to know when choosing an
Object Detection on the Edge: Making the Right Choice Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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