Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Metric3D v2: A Versatile Monocular Geometric Foundation Model for Zero-Shot Metric Depth and Surface Normal Estimation
A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations
Frequency-Aware Feature Fusion for Dense Image Prediction
A Review of Safe Reinforcement Learning: Methods, Theories, and Applications
Diversity Washing
ABSTRACTWe provide large‐sample evidence on whether U.S. publicly traded corporations use voluntary disclosures about their commitments to employee diversity opportunistically. We document significant discrepancies between companies' external stan...
Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection
AbstractExplainable artificial intelligence (XAI) has gained much interest in recent years for its ability to explain the complex decision-making process of machine learning (ML) and deep learning (DL) models. The Local Interpretable Model-agnosti...
Multi-frequency smartphone positioning performance evaluation: insights into A-GNSS PPP-B2b services and beyond
AbstractIn August 2023, Xiaomi unveiled the Redmi K60 Ultra, the first multi-frequency smartphone integrated with BeiDou-3 Navigation Satellite System Precise Point Positioning (PPP-B2b) services and employing PPP technology as the primary positio...
Large Language Model in Creative Work: The Role of Collaboration Modality and User Expertise
Since the launch of ChatGPT in December 2022, large language models (LLMs) have been rapidly adopted by businesses to assist users in a wide range of open-ended tasks, including creative work. Although the versatility of LLM has unlocked new ways ...
Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors
This paper explores how artificial intelligence (AI) may impact the strategic decision-making (SDM) process in firms. We illustrate how AI could augment existing SDM tools and provide empirical evidence from a leading accelerator program and a sta...
Metal organic frameworks for wastewater treatment, renewable energy and circular economy contributions
Large Language Models for Software Engineering: A Systematic Literature Review
Large Language Models (LLMs) have significantly impacted numerous domains, including Software Engineering (SE). Many recent publications have explored LLMs applied to various SE tasks. Nevertheless, a comprehensive understanding of the application...
Revolutionizing Personalized Medicine: Synergy with Multi-Omics Data Generation, Main Hurdles, and Future Perspectives
The field of personalized medicine is undergoing a transformative shift through the integration of multi-omics data, which mainly encompasses genomics, transcriptomics, proteomics, and metabolomics. This synergy allows for a comprehensive understa...
Confusion Matrix-Based Performance Evaluation Metrics
Global burden of cancer and associated risk factors in 204 countries and territories, 1980–2021: a systematic analysis for the GBD 2021
Ab initio characterization of protein molecular dynamics with AI2BMD
Coherent growth of high-Miller-index facets enhances perovskite solar cells
Autonomous mobile robots for exploratory synthetic chemistry
AbstractAutonomous laboratories can accelerate discoveries in chemical synthesis, but this requires automated measurements coupled with reliable decision-making1,2. Most autonomous laboratories involve bespoke automated equipment3–6, and reaction ...
Efficient green InP-based QD-LED by controlling electron injection and leakage
How to Assess and Predict Electrical Double Layer Properties. Implications for Electrocatalysis
A Universal Interfacial Reconstruction Strategy Based on Converting Residual Alkali for Sodium Layered Oxide Cathodes: Marvelous Air Stability, Reversible Anion Redox, and Practical Full Cell
SaaS Metrics
Academic Publication