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DuckDB: An Analytical In-Process SQL DBMS (Database Management System)

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 19, 202434Views0Likes0Comments
DuckDB is a high-performance in-process SQL database management system (DBMS). It is designed for complex and resource-intensive data analysis tasks, with a focus on speed, reliability, and user-friendliness. Its SQL dialect goes beyond basic SQL functionality, supporting complex queries such as nested and correlated subqueries, window functions, and unique data types like arrays and structures. One…

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Investigating Offline Reinforcement Learning (RL): Providing Constructive Guidance for Particular Domain Professionals and Future Algorithm Construction.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 19, 202437Views0Likes0Comments
Data-driven techniques, such as imitation and offline reinforcement learning (RL), that convert offline datasets into policies are seen as solutions to control problems across many fields. However, recent research has suggested that merely increasing expert data and finetuning imitation learning can often surpass offline RL, even if RL has access to abundant data. This finding…

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Researchers at New York University suggest the use of Inter- & Intra-Modality Modeling (I2M2) for multiple mode learning, emphasizing on both cross-modality and within-modality dependencies.

AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 19, 202437Views0Likes0Comments
Researchers from New York University, Genentech, and CIFAR are pioneering a new approach to multi-modal learning in an attempt to improve its efficacy. Multi-modal learning involves using data from various sources to inform a target label, placing boundaries between the sources to allow for differentiation. This type of learning is commonly used in fields like…

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Researchers from NYU suggest the I2M2 approach for multi-modal learning which can capture both dependencies within and between different modalities.

AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 19, 202436Views0Likes0Comments
Researchers from New York University, Genentech, and CIFAR have proposed a new paradigm to address inconsistencies in supervised multi-modal learning referred to as Inter & Intra-Modality Modeling (I2M2). Multi-modal learning is a critical facet of machine learning, used in autonomous vehicles, healthcare, and robotics, among other fields, where data from different modalities is mapped to…

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Apologies gentlemen, but research indicates that women are superior in managing space travel.

Technology, UncategorizedJune 18, 202432Views0Likes0Comments
New research from a massive collaborative effort between over 40 experts from Weill Cornell Medicine and Cornell University suggests that the female body is better equipped for spaceflight than its male counterpart. The findings published in Nature Communications indicate that women may even recover from space voyages more swiftly. The study focused on the biological impact…

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Enhancing Clinical Confidence: Fine-Tuning DPO Reduces Imaginary Findings in Radiology Reports, Transitioning from Illusions to Facts

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 18, 202436Views0Likes0Comments
The field of radiology has seen a transformative impact with the advent of generative vision-language models (VLMs), automating medical image interpretation and report generation. This innovative tech has shown potential in reducing radiologists’ workload and improving diagnostic accuracy. However, a challenge to this technology is its propensity to produce hallucinated content — text that is…

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