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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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As the year comes to a close and we look forward to celebrating the holidays together with our friends and families, all of us at Neural Magic would like to thank you for your continued community support. Here are highlights of the 1.3 product release of our DeepSparse, SparseML, and SparseZoo libraries. The full technical… Read More Neural Magic 1.3 Product Release
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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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As machine learning models grow larger and larger, the demands for hardware to run those models also continue to grow. At Neural Magic we are helping to alleviate these hardware pressures with a truly software-delivered AI solution that allows organizations to get extreme machine learning performance with commodity hardware only. Today, we are excited to… Read More Neural Magic Leverages Breakthrough Performance of 4th Gen AMD EPYC™ Processors For Machine Learning Workloads
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Neural Magic is excited to announce and share highlights of the 1.2 release of our DeepSparse and SparseML libraries. The full technical release notes are always available within our GitHub release indexes linked from the specific Neural Magic repository. If you have any questions, need assistance, or simply want to say hello to our vibrant… Read More Neural Magic 1.2 Product Release
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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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We are excited to share a recent conversation between Neural Magic and Weaviate. We've been collaborating with Weaviate in an effort to help companies scale machine learning efforts to enterprise-grade production, as many business use cases require robust ML pipelines through information retrieval, semantic search, image similarity search, recommendations, classification, and more. Weaviate is a… Read More Build Efficient Vector Search on CPUs with Neural Magic and Weaviate