Tag
This survey provides a systematic review of federated causal discovery and inference, organizing methods by methodological paradigm, federation topology, and structural scope, and highlighting open challenges.
A comprehensive survey of transformer-based language models covering architectures, applications across domain verticals (healthcare, finance, legal, etc.), and critical assessment of trade-offs including compute cost, alignment, and data provenance.
A tech user complains about the prevalence of surveys immediately after deciding to try a product, questioning why this UX design is so common.
A survey indicates that respondents in key U.S. allied countries increasingly view China as the global leader in AI, while American optimism about AI continues to decline.
BVP's latest survey shows that 90% of tech teams have integrated AI into core workflows, with code generation at 92%, code review augmentation at 79%, and Agentic development at 60%. The report emphasizes that maintaining quality and understanding after AI acceleration is the key differentiator.
A Match Group survey finds that 47% of U.S. singles have negative views of AI in romantic contexts, though many are open to AI-assisted features for profile help and conversation starters. The study highlights a preference for AI aiding logistics while leaving genuine human connection untouched.
A tweet highlighting Joël Niklaus's HuggingFace article on the Synthetic Data Playbook, which inspired the text-albumentations library.
A structured survey of AI-based models for soil moisture estimation and classification, covering statistical time-series, geostatistical, classical ML, deep learning, and probabilistic/Bayesian methods.
This survey provides a comprehensive overview of World Action Models (WAMs), predictive-action systems that generate future states for decision-making, and organizes existing works by their required outputs and design choices.
A national survey reveals that roughly half of Americans do not recognize AI leaders like Sam Altman and Dario Amodei, suggesting that public opinion about AI is instead driven by more familiar but negatively viewed figures like Elon Musk and Mark Zuckerberg.
A new Pew Research poll finds 63% of Americans believe AI is advancing too quickly, even as chatbot usage rises to 49%. Younger generations use AI more but hold more negative views about its societal impact.
A Pew Research study reveals that only 16% of Americans believe AI will have a positive societal impact over the next 20 years, with younger people the most skeptical and a majority feeling AI development is too fast. Despite this, ChatGPT usage has doubled since 2023, with 44% of U.S. adults now using it.
Deli Chen open sources his AutoResearch SKILL tool and releases a survey paper on Self-play, inspired by AlphaZero.
A survey by WordPress VIP finds that 60% of U.S. consumers are turned off by brands using 'AI' in messaging, and 86% don't fully trust AI, preferring original sources. The report highlights the tension between AI visibility and human trust.
A survey of 668 developers reveals that readers strongly distrust and punish AI-assisted or AI-authored tech blog posts, preferring authentic human writing even if imperfect.
This paper systematically surveys the core components of medical embodied AI, emphasizing the coordinated integration of perception, decision-making, and action in clinical environments, and reviews representative applications, datasets, and future research directions.
This survey categorizes LLM-based optimization into three paradigms—direct, tool-augmented, and tool-creating—and reviews their performance frontiers and limitations.
This survey reviews the role of knowledge graphs in medicine across five key domains—clinical decision support, disease prediction, health recommender systems, precision medicine, and medical question answering—discussing applications, challenges, and future directions.
The author reflects on how daily use of AI has led to cognitive offloading, reducing personal reasoning and critical thinking, and invites others to share their experiences via a survey to explore building a tool to mitigate this issue.
A new article aggregates multiple surveys and usage studies showing that, contrary to hype, most people use AI rarely or not at all, with Gen Z adoption stalling and about 70% of working-age Americans not using AI.