Text Embedding is the process of mapping words, sentences, or documents into dense, fixed-dimensional vectors in a continuous vector space, such that semantic relationships are reflected by geometric proximity. Embeddings are produced by neural language models and serve as foundational representations in tasks including semantic search, retrieval-augmented generation, text classification, and clustering. Research directions include improving embedding quality for domain-specific text, multilingual settings, and long-document encoding.
Satellite imagery is vast, high-resolution, and rich with information, but finding specific objects within it using natural language has remained a stubborn challenge. Open-SAT, developed by researchers at NEC Laboratories America and North South University, tackles this problem without retraining any models.
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NEC Laboratories America, Inc. (NEC Labs) is the US-based center for NEC Corporation’s global network of corporate research laboratories. Our diverse research groups collaborate with industry, academia and governments to provide disruptive solutions to complex problems. A leader in the integration of IT and network technologies with more than 100 years of expertise, NEC provides a combination of products and solutions that cross-utilize the company’s experience and global resources to meet the complex and ever-changing needs of its customers.