Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Abstract: In biomedical vision research, a significant challenge is the limited availability of pixel-wise labeled data. Data augmentation has been identified as a solution to this issue through ...

Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Enterprises are shifting from static dashboards to AI-native analytics that deliver faster, conversational, context-aware ...

We introduce a geometric semantic model designed to capture fine-grained semantic representations in a multidimensional space. Building on this model, we develop a novel annotation framework that ...

A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...

Snowflake, Salesforce, dbt Labs and more than a dozen other technology companies announced Tuesday they will create a universal standard for how business data is defined and shared across platforms — ...

The social model of disability frames disability as something that is created by society, rather than only by medical conditions or physical differences. The model acknowledges that people have ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...