Lin Qiao, CEO of Fireworks AI, discusses AI's rapid demand growth, with the platform processing 15 trillion tokens daily.

t-distributed Stochastic Neighbour Embedding (t-SNE) is a cornerstone for visualizing high-dimensional biological data, where each high-dimensional data point is represented as a point in a ...

Abstract: The Tsetlin Machine (TM) architecture has recently demonstrated effectiveness in Machine Learning (ML), particularly within Natural Language Processing (NLP). It has been utilized to ...

AI hallucinations about a brand come in many types: A generative AI system might show a person who isn’t the actual founder, display the wrong address for the headquarters, or describe an old product ...

Semantic caching in LLM (Large Language Model) applications optimizes performance by storing and reusing responses based on semantic similarity rather than exact text matches. When a new query arrives ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Abstract: This paper presents a novel technique for embedding information in printed images of real objects captured by a camera, aiming to verify the authenticity of these images. The key feature of ...

I was training a model using fuse_embedding_optimize to fuse the embedding bags with RowWiseAdagrad optimizer, but found inconsistencies between the distributed model with world_size=2 and non ...

This project implements Embedding U-Net, a novel approach to instance segmentation that solves the critical challenge of separating touching and overlapping objects in cluttered scenes. Unlike ...