A research team led by the A*STAR Genome Institute of Singapore (A*STAR GIS) have developed a method to accurately and ...

The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we ...

Bucknell University collaborators on LEAF-Writer Commons — a standalone semantic code editor and writing component of the Linked Editorial Academic Framework (LEAF) — were part of the team awarded the ...

What if the future of AI wasn’t just smarter but also more private, efficient, and accessible? Enter EmbeddingGemma, a new open model designed to transform how text embeddings are generated and used.

Computational optics represents a shift in approach where optical hardware and computational algorithms are designed to work together, enabling imaging capabilities that surpass those of traditional ...

What specific problem does this solve? This change solves a compatibility issue for all users who rely on OpenAI-compatible embedding providers that return embeddings as raw float arrays instead of ...

Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...

When embedding with the openai client with default settings, the embedding vector is truncated. nomic-embed-text-v1.5 outputs 768 length embeddings. However, when called using openai's ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now With demand for enterprise retrieval ...

Every signal. Every scoring mechanism. Every semantic pattern it uses to decide what content makes the cut. That’s what our search engineers did. They reverse-engineered how Google’s AI Overviews work ...