ACM Showcase – Kudos: Growing the influence of research

Welcome to the ACM Showcase, featuring original research and firsthand perspectives from the world’s leading thinkers in computing and information technology. Explore a selection of our authors' publications explained on Kudos in plain language.

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Co-designing algorithms and hardware for brain-inspired computing
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LakeFM: An AI Foundation Model for Forecasting Lake Ecosystems
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CAAD: Causality-Aware Multivariate Time Series Anomaly Detection via Multi-Scale Alignment and Structural Causal Consistency
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An AI That Learns to Charge Your Electric Car Smarter, and Shows Its Work
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Reframing HCI Research from the Global South: Seven Grand Challenges for Brazil
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First Workshop on Responsible Software Engineering
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Designing antibodies that better fit their targets in 3D
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Should Researchers Feel Guilty for Using AI?
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Learning Multimodal Embeddings for Traffic Accident Prediction and Causal Estimation
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How Does Gamification Affect Virtual Reality Nature Experience?
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Using Particle Swarms to Solve Multi-Objective Reinforcement Learning Problems
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Improved analysis of energy consumption through additional data
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OneEHR: Fair and reproducible AI studies using electronic health records
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Quantifying Social Biases in Language Model Classifiers is Domain-Dependent
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Drawing Algorithms As Modular Objects – A Framework for Procedurally Generated Visual Arts and Music
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Helping people access PrEP drug coverage in Ontario
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Using AI to Turn Scientific Papers into Structured, Verifiable Data
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Not enough seats: the real limit of subsidies for school decongestion in the Philippines
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Using Single-Cell Genetic Data and AI to Find New Uses for Existing Drugs
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Testing Financial Forecasting Models in Controlled Market Scenarios
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Efficient Input Minimization for Kernel Fuzzing via Relation- and Type-Guided Optimization
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Benchmarking multi-objective algorithms against true optimal answers
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Can LLMs be tricked into bias? Testing and fixing fairness in AI
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Evolution can search for working plasticity rule in spiking neural networks
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PYTHIA: Democratizing access to knowledge graphs through AI
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Reproductive Health information on TikTok and how LLMs perform in fact-checking them
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How do adult game developers deal with changing rules, and what is ok to publish?
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Pretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Person Search
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Selecting Smaller Benchmarks Without Full Model Evaluation
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When the Most Accurate Forecast Is Not the Most Realistic
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What developers themselves report when mobile accessibility breaks
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Uncovering Security Risks in AI-Generated Code
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Fast and accurate optimization of internet service provider networks.
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CoupleEvo: Evolving Heuristics for Coupled Optimization Problems Using Large Language Models
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Better causal estimates come from adjusting for the right variables, not more variables
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Making Multipath RDMA Faster and More Reliable When Network Packets Are Lost