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Good Space a ranking of the record

TheGood surrounding AI

101 gains match this view. 94% rest on at least one peer-reviewed study, and 17% clear the high-evidence bar. The latest was filed Oct 16, 2026.

Every gain in this view, one square each, shaded by the strength of its evidence. High 17 Moderate 84 Emerging 0
101 results
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Sector: science

Matching records · page 4 of 4

91
Evidence-backed gainPeer-reviewedScience

ApexGO generated optimized peptide derivatives that showed enhanced antimicrobial activity in vitro and potent anti-infective efficacy in mouse models of Acinetobacter baumannii infection.

Source article: A generative artificial intelligence approach for peptide antibiotic optimization

Nature Machine Intelligence
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92
Evidence-backed gainPeer-reviewedClimate

Hybrid framework using Binary iHow for feature selection and iHow for hyperparameter tuning of a Multi-Scale Attention Network reduced forecasting error for wind and solar generation and improved computational scalability for smart-grid management.

Source article: Optimizing solar and wind forecasting with iHow optimization algorithm and multi-scale attention networks

Scientific Reports
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93
Evidence-backed gainPeer-reviewedScience

Integrating Shuffled Frog Leaping Algorithm optimization with Boosted Trees and QSVM classifiers improved discrimination of argillic, phyllic, propylitic and iron oxide alteration zones from ASTER and Sentinel-2 data, raising AUC and achieving strong field validation.

Source article: Metaheuristic-optimized machine learning framework for remote sensing-based alteration mapping of porphyry copper systems

Scientific Reports
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94
Evidence-backed gainPeer-reviewedScience

The integrated ACME framework increased ship fuel consumption prediction accuracy and generalisation, outperforming mainstream models and providing data-driven tools for energy efficiency management and decarbonisation in maritime transport.

Source article: An integrated method of advanced optimisation and adaptive ensemble learning for ship fuel consumption prediction

Transportation Research Part C: Emerging Technologies
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95
Evidence-backed gainPeer-reviewedScience

SparksMatter autonomously executed the full in-silico discovery cycle from ideation to iterative refinement and proposed novel stable inorganic candidates meeting target objectives in thermoelectrics, semiconductors, and perovskite oxides, with blinded evaluation showing higher relevance and novelty than frontier basel

Source article: Autonomous in-silico inorganic materials discovery via multi-agent physics-aware scientific reasoning

npj Computational Materials
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101
Evidence-backed gainJournalismClimate

AI trained to recognize stoat shape and movement on heat-detecting cameras triggers alerts to trapping teams, supporting an eradication effort that by October 2025 was associated with a 1,267% increase in curlew hatching chance on Orkney mainland

Source article: ‘There were stoats in kitchen cupboards’: AI deployed to help save Orkney’s birds

The Guardian
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