Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance
Abstract With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative arti...
Algorithmic bias, data ethics, and governance: Ensuring fairness, transparency and compliance in AI-powered business analytics applications
The widespread adoption of AI-powered business analytics applications has revolutionized decision-making, yet it has also introduced significant challenges related to algorithmic bias, data ethics, and governance. As organizations increasingly rel...
Virtual Reality, Augmented Reality, and Mixed Reality in Experiential Learning: Transforming Educational Paradigms
Virtual reality (VR), augmented reality (AR), and mixed reality (MR) have impacts on experiential learning, redefining educational paradigms through immersive and interactive environments. By integrating extended reality (XR) technologies, learner...
Plant Growth-Promoting Microbes for Resilient Farming Systems: Mitigating Environmental Stressors and Boosting Crops Productivity—A Review
This review delves into the role of plant growth-promoting microbes (PGPMs) in sustainable agriculture by enhancing soil health, improving plant stress tolerance, and controlling diseases. PGPMs, which include bacteria, fungi, and other microorgan...
Metal–organic framework-based smart stimuli-responsive drug delivery systems for cancer therapy: advances, challenges, and future perspectives
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation
There has been a recent explosion of research on Large Language Models (LLMs) for software engineering tasks, in particular code generation. However, results from LLMs can be highly unstable; non-deterministically returning very different code for...
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey
Employers are adopting algorithmic hiring technology throughout the recruitment pipeline. Algorithmic fairness is especially applicable in this domain due to its high stakes and structural inequalities. Unfortunately, most work in this space provi...
Time-Sensitive Networking (TSN) for Industrial Automation: Current Advances and Future Directions
With the introduction of Cyber-Physical Systems (CPS) and Internet of Things (IoT) technologies, the automation industry is undergoing significant changes, particularly in improving production efficiency and reducing maintenance costs. Industrial ...
Structured Chain-of-Thought Prompting for Code Generation
Large Language Models (LLMs) have shown impressive abilities in code generation. Chain-of-Thought (CoT) prompting is the state-of-the-art approach to utilizing LLMs. CoT prompting asks LLMs first to generate CoTs (i.e., intermediate natural langua...
Scaling and networking a modular photonic quantum computer
Engagement, user satisfaction, and the amplification of divisive content on social media
Abstract Social media ranking algorithms typically optimize for users’ revealed preferences, i.e. user engagement such as clicks, shares, and likes. Many have hypothesized that by focusing on users’ revealed preferences, these algor...
Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI
Background/Objectives: Artificial intelligence (AI) is transforming healthcare, enabling advances in diagnostics, treatment optimization, and patient care. Yet, its integration raises ethical, regulatory, and societal challenges. Key concerns incl...
Mass-spectrometry-based proteomics: from single cells to clinical applications
Quantum error correction below the surface code threshold
RETRACTED: Artificial Intelligence in Natural Product Drug Discovery: Current Applications and Future Perspectives
Design of catalysts for selective CO2 hydrogenation
Nanomaterials in Agriculture: A Pathway to Enhanced Plant Growth and Abiotic Stress Resistance
Nanotechnology has emerged as a transformative field in agriculture, offering innovative solutions to enhance plant growth and resilience against abiotic stresses. This review explores the diverse applications of nanomaterials in agriculture, focu...
Characterizing Electrode Materials and Interfaces in Solid-State Batteries
Sensing Techniques for Structural Health Monitoring: A State-of-the-Art Review on Performance Criteria and New-Generation Technologies
This systematic review examines the capabilities, challenges, and practical implementations of the most widely utilized and emerging sensing technologies in structural health monitoring (SHM) for infrastructures, addressing a critical research gap...
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