A new leak suggests Samsung may revive Bixby by handing complex queries to Perplexity, with different response modes and a ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

Engineers at the University of California have developed a new data structure and compression technique that enables the ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Abstract: Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order ...

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

Online search, as it exists now, is set for a dramatic overhaul as AI adoption accelerates, cloud-software firm Snowflake’s chief executive Sridhar Ramaswamy tells Samidha Sharma & Pranav Mukul.

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

OpenAI continues its push into healthcare with the launch of ChatGPT Health, a new feature that connects its artificial ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

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

This repository contains the experimental artifacts used in the evaluation of Large Language Models (LLMs) for Text-to-SQL translation, as described in the associated manuscript. The materials ...