Browsing: AI & Robotics
Researchers from Bloomberg and UNC Chapel Hill Introduce M3DocRAG: A Novel Multi-Modal RAG Framework that Flexibly Accommodates Various Document Context
Document Visual Question Answering (DocVQA) represents a rapidly advancing field aimed at improving AI’s ability to interpret, analyze, and respond…
When Nikola Tesla predicted we’d have handheld phones that could display videos, photographs, and more, his musings seemed like a distant…
Researchers from Stanford and Cornell Introduce APRICOT: A Novel AI Approach that Merges LLM-based Bayesian Active Preference Learning with Constraint-Aware Task Planning
In the rapidly evolving field of household robotics, a significant challenge has emerged in executing personalized organizational tasks, such as…
By studying changes in gene expression, researchers learn how cells function at a molecular level, which could help them understand…
Anthropic Introduces Claude 3.5 Sonnet: The AI That Understands Text, Images, and More in PDFs
Information overload presents significant challenges in extracting insights from documents containing both text and visuals, such as charts, graphs, and…
Despite its impressive output, generative AI doesn’t have a coherent understanding of the world | MIT News
Large language models can do impressive things, like write poetry or generate viable computer programs, even though these models are…
Meet Hertz-Dev: An Open-Source 8.5B Audio Model for Real-Time Conversational AI with 80ms Theoretical and 120ms Real-World Latency on a Single RTX 4090
Conversational AI is now a cornerstone of technology, but achieving fast, efficient, and real-time interaction remains challenging. Latency—the delay between…
Satellite density in Earth’s orbit has increased exponentially in recent years, with lower costs of small satellites allowing governments, researchers,…
Despite their impressive capabilities, large language models are far from perfect. These artificial intelligence models sometimes “hallucinate” by generating incorrect…
DIFFUSEARCH: Revolutionizing Chess AI with Implicit Search and Discrete Diffusion Modeling
Large Language Models (LLMs) have gained significant attention in AI research due to their impressive capabilities. However, their limitation lies…