18 articles tagged with #survey. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
A Nomura and Laser Digital survey reveals that 65% of institutional investors now view cryptocurrency as a vital portfolio diversifier, reflecting growing confidence driven by regulatory clarity and new institutional products. This shift signals meaningful progress in mainstream adoption of digital assets among sophisticated investors.
Researchers have conducted a comprehensive survey on hallucinations in Video Large Language Models (Vid-LLMs), identifying two core types—dynamic distortion and content fabrication—and their root causes in temporal representation limitations and insufficient visual grounding. The study reviews evaluation benchmarks, mitigation strategies, and proposes future directions including motion-aware encoders and counterfactual learning to improve reliability.
A comprehensive survey examines the integration of TinyML (for resource-constrained IoT devices) and LargeML (for large-scale services) in 6G wireless networks. The research identifies key challenges and opportunities for unified machine learning frameworks to enable intelligent, scalable, and energy-efficient next-generation networks.
A comprehensive survey introduces graph neural networks (GNNs) through an encoder-decoder framework, demonstrating their effectiveness across various graph analytics tasks. The paper emphasizes critical challenges like oversmoothing and oversquashing in GNN training, providing experimental insights on how network performance scales with training data and graph complexity.
A comprehensive survey examines how Mixture-of-Experts (MoE) architectures address multimodal learning challenges by enabling scalable modeling, enriching representation learning across modalities, and adapting to imperfect data scenarios. The research identifies critical gaps in interpretable routing, expert communication, and lifelong multimodal learning, positioning MoE as a foundational framework for building more efficient and flexible AI systems.
A new survey examines how Large Language Models are transforming time series analysis by shifting from traditional task-specific forecasting toward a unified question-answering framework. The research proposes three alignment paradigms to bridge the gap between LLM capabilities and temporal data analysis, offering practical guidance for selecting appropriate methodologies across domains.
A CoinDesk survey of 1,000 registered U.S. voters reveals cryptocurrency ranks at the bottom of voters' priorities heading into elections, with Americans holding generally unfavorable views of digital assets. This sentiment suggests crypto regulation and policy may not be decisive factors in upcoming electoral outcomes.
A CoinDesk survey reveals that American voters continue to prefer traditional banks over cryptocurrency for financial services and view crypto negatively as an economic force. The polling data indicates that public adoption and sentiment toward digital assets remain significantly constrained, with voters expressing similar skepticism toward AI technology.
A comprehensive survey examines AI methodologies for simulating mixed autonomous and human-driven traffic, addressing critical gaps in current simulation tools. The research proposes a unified taxonomy of AI methods spanning agent-level behavior models, environment-level simulations, and physics-informed approaches to improve autonomous vehicle testing and validation.
ADP's chief economist warns that AI is already impacting the workforce, not something that will happen in the future. A new global survey reveals widespread worker anxiety about AI's effects on employment and job security.
An ABA survey reveals consumers support cautious stablecoin yield regulations by a 6-to-1 margin, favoring restrictions that don't undermine the existing financial system. The survey indicates public preference for conservative regulatory approaches to stablecoin yields tied to banking risk management.
J.P. Morgan's 2026 survey of 333 family offices reveals that 89% currently hold no cryptocurrency exposure. Only 17% of these ultra-wealthy investment vehicles plan to invest in crypto going forward, highlighting limited institutional adoption among family offices.
OpenAI conducted a survey of over 1,000 people globally to gather public input on AI behavior standards and compared these responses to their Model Spec guidelines. The initiative represents OpenAI's effort toward collective alignment, aiming to incorporate diverse human values and perspectives into AI system defaults.
A new Pew survey reveals that only 6% of Americans who have heard of cryptocurrency express very or extremely high confidence in it. This finding highlights the significant trust deficit cryptocurrency faces among the general U.S. population despite widespread awareness.
A new poll reveals that Americans are increasingly adopting AI tools in their daily lives, despite a majority believing the technology's risks outweigh its benefits. This paradox highlights the growing ubiquity of AI while showing persistent public skepticism about its overall impact.
Researchers published a comprehensive survey on Neural Routing Solvers (NRSs) that use deep learning to solve vehicle routing problems. The study introduces a new hierarchical taxonomy based on heuristic principles and proposes an improved evaluation pipeline that reveals gaps in current research methodologies.
A new survey reveals that Labour voters in the UK show more positive attitudes toward cryptocurrencies compared to the average young person. This finding challenges assumptions about political affiliation and crypto adoption patterns among British youth.
The article title references ECB Consumer Expectations Survey results from February 2026, but no article body content was provided for analysis.
