Australian academics apologize for using false information generated by an AI chatbot, Bard, in their submission to an Australian parliamentary inquiry. The academics were lobbying for the breakup of the big four auditing firms and included inaccurate claims about misconduct by these firms. The auditing firms pointed out the inaccuracies, but cannot pursue defamation cases…

In this article, the author discusses their experience working as a data engineer in both a DevOps-focused role and an analytics engineering role. They highlight the differences between DevOps and DataOps, including the focus on software as a product in DevOps and data quality in DataOps. The key metrics of success for DevOps are downtime…

This article provides ideas and techniques for expressing simultaneous changes in geospatial data using Python. It covers various chart types, including choropleth maps, bubble charts, pie charts, bar charts, and line charts. The author explains how to obtain and plot geospatial data and includes examples and code snippets throughout the article. The goal is to…

The text discusses five boundaries that can help achieve a better work-life balance as a data scientist in 2024. These boundaries include setting up a documentation system, allowing for longer project timelines, refusing unrealistic deadlines, avoiding overtime for artificial deadlines, and prioritizing quality over speed in data analysis projects.

The rise in demand for data-centric local intelligence has highlighted the need for autonomous data analysis at the edge. Edge-AI devices, such as wearables and smartphones, represent the next phase of growth in the semiconductor industry. However, these devices face the challenge of the von Neumann bottleneck, which limits their ability to process data locally.…

Researchers from the University of Zurich evaluated the performance of Large Language Models (LLMs), specifically GPT-4, in autonomous fact-checking. While LLMs show promise in fact-checking with contextual information, their accuracy varies based on query language and claim veracity. Further research is needed to improve understanding of LLM capabilities and limitations in fact-checking tasks.

Researchers from Tsinghua University and ByteDance have developed SALMONN, a multimodal language model (LLM) that can recognize and comprehend various audio inputs, including voice, audio events, and music. They also propose a low-cost activation tuning technique to activate cross-modal emergent skills and reduce catastrophic forgetting. SALMONN performs well on a range of hearing tasks.

SELF-RAG is a framework that enhances large language models by dynamically retrieving relevant information and reflecting on its generations. It significantly improves quality, factuality, and performance on various tasks, outperforming other models. SELF-RAG is effective in open-domain question-answering, reasoning, fact verification, and long-form content generation. Further research and refinement can enhance output accuracy and address…

Artificial intelligence (AI) email assistants help users manage their inboxes more efficiently. They offer features like automatic task completion, message prioritization, and prompt responses. These AI assistants are beneficial for professionals with busy schedules, entrepreneurs, and students. Some popular AI email assistants include SaneBox, InboxPro, Lavender, Missive, Superflows, Superhuman, Scribbly, Tugan, AI Mailer, Nanonets, Flowrite,…

Researchers have introduced the Davidsonian Scene Graph (DSG), an automatic question generation and answering framework to evaluate text-to-image (T2I) models. DSG generates contextually relevant questions in dependency graphs for better semantic coverage and consistent answers. Experimental results demonstrate the effectiveness of DSG on various model configurations. The study emphasizes the need for further research into…