Abstract: How to identify potential disruptive technologies as early as possible is of great significance for enterprise's R&D strategic decision-making and government's innovation policy formulation.

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Objective: This study aimed to map and classify expert discourse on digital health, One Health, and their convergence in the Global South using latent semantic analysis, with particular attention to ...

PULSE enables any AI system to communicate with any other AI system - regardless of vendor, framework, or architecture. The Problem: Enterprises deploy 15-30 different AI systems that cannot ...

Researchers have coined a new way to trick artificial intelligence (AI) chatbots into generating malicious outputs. AI security startup NeuralTrust calls it "semantic chaining," and it requires just a ...

Meta is giving Instagram users a rare glimpse into why certain posts are showing up on their Reels, the platform’s feed of algorithmically curated videos. Starting today, users will now see a list of ...

You chose selected. Each dot here represents a single video about selected. While you’re on the app, TikTok tracks how you interact with videos. It monitors your watch time, the videos you like, the ...

Now that anyone can use AI to generate keywords and spin up a paid search campaign in minutes, it’s easy to assume the hard work is done. But creating structured, scalable performance still requires a ...

Sharingan is a lightweight Python library for semantic video understanding with temporal reasoning. It combines vision-language models (CLIP, SmolVLM) with temporal analysis to understand video ...

More than 800 U.S. TikTok users shared their data with The Washington Post. We used it to find out why some people become power users, spending hours per day scrolling. Each circle in the chart ...