Artificial Intelligence Archives - Page 20 of 233

IBM scientists have unveiled AI-Hilbert, a novel machine learning structure designed for scientific exploration that combines algebraic geometry and mixed-integer optimization.

AI Paper Summary, AI Shorts, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJuly 27, 202436Views 0Likes 0Comments

A recent research study by teams at Imperial College Business School, Samsung AI, and IBM has proposed an innovative solution for scientific discovery, using a framework that they call AI-Hilbert. The system is designed to discover natural laws by modeling axioms and laws as polynomials. The research leverages binary variables and logical constraints to solve…

This AI Article Presents AssistantBench and SeePlanAct: Standard and Agent for Sophisticated Web-Related Tasks

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 27, 202433Views 0Likes 0Comments

Artificial intelligence (AI) developing systems often encounter several challenges like performing tasks that require human intellect, such as managing complex tasks and interacting with dynamic environments. This necessitates finding and synthesizing information from the web accurately and reliably. Current models face this difficulty, hence pointing out the need for more advanced AI systems. Existing solutions…

MINT-1T Dataset Unveiled: A Multimodal Dataset Comprising One Trillion Tokens to Construct Massive Multimodal Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJuly 27, 202432Views 0Likes 0Comments

Researchers from Harvard introduce ReXrank: A Publicly Available Ranking System for AI-Driven Radiology Report Creation using Chest X-Ray Pictures.

AI Shorts, Artificial Intelligence, Editors Pick, Leaderboard, Staff, Tech News, Technology, UncategorizedJuly 27, 202440Views 0Likes 0Comments

Harvard researchers have launched ReXrank, an open-source leaderboard that aims to improve artificial intelligence (AI)-powered radiology report generation. This development could revolutionize healthcare AI, especially concerning chest X-ray image interpretation. ReXrank aims to provide a comprehensive, objective evaluation framework for advanced AI models, encouraging competition and collaboration among researchers, clinicians, and AI enthusiasts and accelerating…

Harvard scholars introduce ReXrank: A publicly accessible ranking system for AI-based creation of radiology reports from chest X-ray pictures.

AI Shorts, Artificial Intelligence, Editors Pick, Leaderboard, Staff, Tech News, Technology, UncategorizedJuly 27, 202461Views 0Likes 0Comments

Harvard researchers have won the medical AI field's attention with their launch of ReXrank, an open-source leaderboard promoting the advancement of AI-driven radiology report generation, particularly in chest X-ray imaging. This unveiling implicates changes in healthcare AI and is designed to bring a transparent and full-picture evaluation framework. ReXrank makes use of a variety of datasets…

Self-Route: An Efficient AI Technique Utilizing Model Self-Evaluation to Direct Inquiries to RAG or Extended Context LC

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 27, 202434Views 0Likes 0Comments

Self-Route: An Easy and Efficient AI Technique that Directs Inquiries to RAG or Long Context LC, drawing on the Model’s Self-Evaluation Capability

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 27, 202439Views 0Likes 0Comments

Large Language Models (LLMs) like GPT-4 and Gemini-1.5 have revolutionized the field of natural language processing, significantly enhancing text processing applications such as summarization and question answering. However, the long context management required for these applications presents challenges due to computational limitations and cost implications. Recent research has been exploring ways to balance performance and…

To improve the creation of AI assistants, begin by imitating the unpredictable actions of humans.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedJuly 27, 202430Views 0Likes 0Comments

Researchers at MIT and the University of Washington have devised a model to predict the behaviour of AI systems and humans. The model factors in the indefinite computational constraints which may hinder an agent's problem-solving skills. By analysing only a few instances of previous actions, the model can predict an agent's future behaviour. The findings…

To enhance the development of more effective AI assistants, consider simulating the unpredictable actions of humans as a starting point.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedJuly 27, 202432Views 0Likes 0Comments

To build an Artificial Intelligence (AI) system that can work effectively with humans, it's critical to have an accurate model of human behavior. However, humans often act less optimally when making decisions, and these irrational behaviors are challenging to imitate. This is due to computational constraints - a person cannot dedicate decades to finding an…