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Introducing YOLOv8—the latest object detection, segmentation, and classification architecture to hit the computer vision scene! Developed by Ultralytics, the authors behind the wildly popular YOLOv3 and YOLOv5 models, YOLOv8 takes object detection to the next level with its anchor-free design. But it's not just about cutting-edge accuracy. YOLOv8 is designed for real-world deployment, with a… Read More YOLOv8 Detection 10x Faster With DeepSparse—Over 500 FPS on a CPU
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The field of biology is constantly advancing as researchers around the world work to uncover new insights into the mechanisms of life. With the vast amount of information being published on a daily basis, it can be a daunting task for biologists to stay up-to-date and extract relevant data for their research. This is where… Read More Revolutionizing Biology Research With Lightning-Fast NLP: Introducing Sparse BioBERT
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We’ve partnered with Ultralytics to optimize and simplify your YOLOv5 deployment. Want to accelerate the deployment of your YOLOv5 models? We’ve got you covered! Introducing our newest partner, Ultralytics, who makes artificial intelligence easy. While Ultralytics YOLOv5 object detection architectures and pre-trained models offer popular vision AI, Neural Magic provides software tools that emphasize peak… Read More Deploy YOLOv5 With Neural Magic’s DeepSparse for GPU-Class Performance on CPUs
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Accurately detecting and segmenting objects during sorting and packaging helps improve the process quality and significantly lower inspection costs of outbound packages. Fruit detection is an example of such a task. The objective is to identify the presence of fruit, classify it, and accurately locate it. Detailed information about the object's location can be obtained… Read More Real-time Instance Segmentation With Sparse YOLACT on a Laptop
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A well known burden with today’s cloud providers is the ever-growing necessity for technical experts to handle their infrastructure. The unfortunate consequence of this challenge can ultimately lead to long deployment times impacting the iteration rate on your model’s journey to production. Hugging Face ? Inference Endpoints is a new service for automating the deployment… Read More Accelerate Hugging Face Inference Endpoints with DeepSparse
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Companies have numerous documents such as wikis and internal documentation. These documents could be in the hundreds or thousands. Searching for information from these documents is a painful, long, and tedious process. For instance, you have to manually go through numerous documents to get an answer to a specific question. What if there was a… Read More Search Documents Quickly With Extractive Question Answering and Sparse Transformers
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AWS Lambda is a serverless, event-driven environment for making quick auto-scalable deployments for various applications including machine learning. The most convenient feature of serverless environments is that server management is delegated to the AWS infrastructure, allowing the developer to focus on the deployment with minimum management. In addition, Lambda only incurs a cost in the… Read More Deploy Serverless Machine Learning Inference on AWS Lambda with DeepSparse
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Classify Even Longer Customer Reviews Using Sparsity with DeepSparse Customer review classification is crucial for customer-facing enterprises across industries such as retail, entertainment, food, and beverage. Knowing what your customers say about your product or solution can help you quickly address negative customer reviews and in turn reduce churn, providing a better customer experience. Implementing… Read More Accelerate Customer Review Classification with Sparse Transformers
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The world of finance and stock trading has changed in recent years. As more and more retail investors enter the market, the more important stories and social sentiment become. Think Tesla - one can argue that a lot of the company's value comes from successful social storytelling by its CEO Elon Musk. Social media has… Read More Classifying Finance Tweets in Real-Time with Sparse Transformers
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This YOLOv5 blog post was edited in September 2022 to reflect more-recent sparsification research, software updates, better performance numbers, and easier benchmarking and transfer learning flows. Prune and Quantize YOLOv5 for a 12x Increase in Performance and a 12x Decrease in Model Files Neural Magic improves YOLOv5 model performance on CPUs by using state-of-the-art pruning… Read More YOLOv5 on CPUs: Sparsifying to Achieve GPU-Level Performance and a Smaller Footprint