AI Peers Into the Black Box of Heatwaves and Reveals What Really Drives Them
An explainable AI framework has quantified how atmospheric circulation, soil moisture, and rising CO2 each contribute to summer heat extremes ...
An explainable AI framework has quantified how atmospheric circulation, soil moisture, and rising CO2 each contribute to summer heat extremes ...
A comprehensive review finds that while artificial intelligence shows striking performance in detecting, staging, and predicting gastric cancer outcomes, most ...
Researchers in China have built an explainable AI framework that predicts student readiness for Industry 4.0 careers with 98.92 percent ...
Researchers in India have built a lightweight, attention-guided deep learning model that classifies 33 bacterial species from Gram-stained microscope images ...
A new framework called VR-FraudNet forces large language models to propose structured fraud explanations that a fixed deterministic verifier must ...
Researchers have built a federated, explainable VAE-LSTM framework that detects previously unseen DDoS attacks in software-defined healthcare networks with over ...
Researchers in Vietnam have built a hybrid vision-language AI that diagnoses grapevine diseases with 98.7 percent accuracy while explaining its ...
A 43-year, 38-station machine-learning study of Nigerian rainfall identifies four shifting climate zones, rising monsoon extremes and last-month rainfall as ...
A new 3.5 million euro Horizon Europe project coordinated by Johannes Gutenberg University Mainz will test twenty existing European counter-disinformation ...
Researchers have developed an explainable ensemble learning framework that fuses deep CNN features with handcrafted HOG and LBP descriptors to ...
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© 2025 Scienmag - Science Magazine