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The Promise and Peril of On-Device AI for Conservation Work
Research examines whether on-device AI can support conservation field staff, revealing infrastructure mismatches between model requirements and resource-constrained organizational realities.
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Naval mine warfare in the Black Sea poses environmental and legal risks
Analysis of how naval mines in the Russia-Ukraine conflict exceed international legal protections for marine ecosystems and transboundary environmental risks in the Black Sea.
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CXL-SpecKV: A Disaggregated FPGA Speculative KV-Cache for Datacenter LLM Serving
System offloads key-value caches to remote FPGA memory using CXL interconnects, achieving 3.2× throughput gains and 2.8× memory cost reduction for datacenter LLM serving.
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Local air pollution reduces expatriate deployment
Study reveals that local air pollution significantly reduces expatriate deployment in multinational subsidiaries, with effects contingent on organizational experience and labor supply.
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Hybrid deep learning improved edge-cloud task scheduling in simulation
Deep reinforcement learning framework for adaptive task scheduling in edge-cloud computing with improved SLA compliance, reduced operational costs, and lower task rejection rates.
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Chemically inflated airbag reduced UAV impact force
Chemical reaction airbag system for drones reduces impact forces by 66% during free-fall collisions, enabling safer autonomous UAV operations without excessive payload burden.
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P2P: From Prompt to Prototype - Functional UI Design with LLMs and MCP
Tutorial addressing the implementation gap in HCI research through LLM and MCP-enabled functional UI design, bridging conceptual design and deployable interfaces while maintaining accessibility.
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Smarter Together: Enhancing Human-AI Collaborative Grading With Teacher-Cognition Multi-Agent LLM Framework
TC-MAG framework uses multi-agent AI to improve automated grading of open-ended student responses with explainable partial credit assessment and teacher oversight capabilities.
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AI changes enterprise risk management while adding new governance risks
Explore how AI transforms enterprise risk management while examining governance challenges, algorithmic bias, and the need for robust oversight frameworks in modern organizations.
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Mixed fossil mitigation and CDR best matched climate and economic goals
Study evaluates COP28 negative emission technologies through five global scenarios, finding that combined fossil fuel reduction with moderate carbon removal optimally meets 1.5°C targets while.
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Nexa reports improved support efficiency and scalability
AI-powered multi-tenant SaaS platform integrating chatbots and voice assistants for scalable automated customer support with real-time dashboards and dynamic knowledge bases.
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Cloud-native ERM improved flexibility and responsiveness
Cloud-native ERM framework for multi-sector operations using microservices, cloud data management, and real-time analytics to enhance scalability, responsiveness, and cross-sector coordination.
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Non-permanent carbon removal can lower mitigation costs
Welfare analysis of permanent versus non-permanent carbon dioxide removal: non-permanent CDR lowers near-term mitigation costs but does not reduce long-run temperatures; policy requires.