fromHackernoon1 year agoCan AI Explain a Joke? Not Quite - But It's Learning Fast | HackerNoonWe empirically study how several baseline models perform on the task of explainable visual entailment, investigating both off-the-shelf and finetuned model performances.Artificial intelligence
fromHackernoon1 month agoData scienceThe Future of Remote Sensing: Few-Shot Learning and Explainable AI | HackerNoon
fromHackernoon1 month agoArtificial intelligenceExplainable AI (XAI) for Safer, Smarter Remote Sensing | HackerNoon
fromHackernoon1 month agoData science6 Breakthrough Few-Shot Learning Techniques for Remote Sensing | HackerNoon
fromHackernoon1 month agoData scienceThe Future of Remote Sensing: Few-Shot Learning and Explainable AI | HackerNoon
fromHackernoon1 month agoArtificial intelligenceExplainable AI (XAI) for Safer, Smarter Remote Sensing | HackerNoon
fromHackernoon1 month agoData science6 Breakthrough Few-Shot Learning Techniques for Remote Sensing | HackerNoon
fromHackernoon1 month agoHow Few-Shot Learning Enhances UAV-Based Image Analysis | HackerNoonFew-shot learning enhances deep learning applicability in remote sensing by enabling effective learning with limited labeled data.
Artificial intelligencefromHackernoon2 months agoAs AI Advances, Researchers Push for Models That Reason Like Humans | HackerNoonExplainable AI (XAI) is evolving to better interpret increasingly complex AI systems, emphasizing the need for clarity and accountability.
Artificial intelligencefromHackernoon2 months agoExplainable AI Gains Ground as Demand for Algorithm Transparency Grows | HackerNoonExplainable AI is crucial for trustworthiness in AI decision-making across high-stakes areas.
Artificial intelligencefromScienceDaily3 months agoExplainable AI for ship navigation raises trust, decreases human errorAutonomous AI systems can enhance maritime safety by explaining navigation decisions to human operators.
Artificial intelligencefromForbes4 months agoHow To: Explainable AI For Ideal Customer Acquisition In Wealth ManagementAI can enhance lead scoring in wealth management, but black box models lack transparency, undermining trust and effectiveness.
