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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Physics-guided cross-domain ad" (30 stories)

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Physics-guided cross-domain adaptation: a hierarchical hybrid transformer framework with contrastive learning for robust fault diagnosis under variable working conditions
Lead StoryNaturetech
Jun 16

Physics-guided cross-domain adaptation: a hierarchical hybrid transformer framework with contrastive learning for robust fault diagnosis under variable working conditions

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9pNklHcER2QVA1N2VCa3lIb0NwZy1OSzVxTXlRbjQ1RGFZS1hCNzh6bWlqbkFBWkZCMHNPOHRITUMwNWhfaVZNNTJuN2FhYWxRWVViQV9jMzFVaEQwS3lJ?oc=5" target="_blank">Physics-guided cross-domain adaptation: a hierarchical hybrid transformer framework with contrastive learning for robust fault diagnosis under variable working conditions</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Physics-guided cross-domain ad"

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29 stories displayed
Physics-guided multi-channel attention learning for GPR imaging of hidden anomalies in historic masonry
Frontiersgeneral

Physics-guided multi-channel attention learning for GPR imaging of hidden anomalies in historic masonry

<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxOenFGVHlySTNSS3hMbWhNR1h3bFNQamFwaUdRUFIzaG9FQjAwOWFSM3V4ZnZ4TGQtNERScHV5S3NrcmExVFdRZzVRYzc5LWZvblZFQnJIbGwwbmVNb0w2WV9scnFHNkdWcGhvZmswZVBkS2JJWW9pemVTTFJ2a1VqQU5yNTJBQkdQMC1ZVC1aYWNZTnZpUEE?oc=5" target="_blank">Physics-guided multi-channel attention learning for GPR imaging of hidden anomalies in historic masonry</a>  <font color="#6f6f6f">Frontiers</font>

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Physics-informed machine learning for robust calibration and physiological validation of wearable electrochemical sweat biosensors for metabolite monitoring
Naturegeneral

Physics-informed machine learning for robust calibration and physiological validation of wearable electrochemical sweat biosensors for metabolite monitoring

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1qcV9Ub0IwUldEZkNZLU04bnFHak5oTDRrV3lNanZjNzFINWZxRUtLMkNnUWNfUDdYYVh3MHFrN21VSTV4TDM3aFp6UVZqQWJFUlZBV2hSOU5RZXhmb2RZ?oc=5" target="_blank">Physics-informed machine learning for robust calibration and physiological validation of wearable electrochemical sweat biosensors for metabolite monitoring</a>  <font color="#6f6f6f">Nature</font>

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Fiber endoscopy: Physics-guided network erases honeycomb artifacts
EurekAlert! Science News Releasesgeneral

Fiber endoscopy: Physics-guided network erases honeycomb artifacts

<a href="https://news.google.com/rss/articles/CBMiXEFVX3lxTE9HdUtSUVdCb3FwZl82VGVCd3ZJSmxydm1iajd0RnY2bUxpdnd6MXpXTC1qY3c2U1E5Qi15TzBIRnlBc1JSRkh4clh3WG94R3pBOVhXLXM0RHVHNWRu?oc=5" target="_blank">Fiber endoscopy: Physics-guided network erases honeycomb artifacts</a>  <font color="#6f6f6f">EurekAlert! Science News Releases</font>

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Fourier neural operators enhanced with physics guided loss for modeling fuel cell degradation and lifetime forecasting
Naturegeneral

Fourier neural operators enhanced with physics guided loss for modeling fuel cell degradation and lifetime forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE02R1V4cU9fRnZ0NlBWQzlKTk5xSE5EMTVHQ1RqZ3d6WEhxMlA1eFloZWxfMktiZi0zdmQ0cXQzZG1jcHJUaFRydFdnUDdJT1E2eXNlZXhlcWo1T0V6ZXkw?oc=5" target="_blank">Fourier neural operators enhanced with physics guided loss for modeling fuel cell degradation and lifetime forecasting</a>  <font color="#6f6f6f">Nature</font>

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Physics guided semantic consistency learning for bearing fault diagnosis in agricultural machinery under operating condition shifts
Natureworld

Physics guided semantic consistency learning for bearing fault diagnosis in agricultural machinery under operating condition shifts

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5jUld2RzAwaEYzVWpIYzJBUWVCVVRjRTFUbVp1WFY3UW5UREkzVHhoMzdyNEF5R2dYNEtpWDJmemp4UmhaR3BvVk5pYThldXlUU1p0WGREQnoyblpIQURj?oc=5" target="_blank">Physics guided semantic consistency learning for bearing fault diagnosis in agricultural machinery under operating condition shifts</a>  <font color="#6f6f6f">Nature</font>

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GPRF-HPNet Physics-guided texture-aware fusion for real-world underwater image enhancement
Natureworld

GPRF-HPNet Physics-guided texture-aware fusion for real-world underwater image enhancement

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9QeWpXejhRWll4d0JYTkJrT3NuR2ZULUFEWFhrXzVDZGF3S1hHRzJPNXM1d0RsTHBIdE1XZUtvUGR6TmFmVlFZZ2F6YnZ0Z05hV0J4bldfY2ZjanhzMklB?oc=5" target="_blank">GPRF-HPNet Physics-guided texture-aware fusion for real-world underwater image enhancement</a>  <font color="#6f6f6f">Nature</font>

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A thermodynamics-integrated physics-guided neural network for soil temperature forecasting
Naturegeneral

A thermodynamics-integrated physics-guided neural network for soil temperature forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1jQ1UyRmtpTzdhNF9CUzVQSUszV0g5Njd1MEs1dkVxT0lKVXV6RGxBSjBlM3QzUFc4dVcyUjVhZENQLS1LdzlxNHQ3Mi1EUy1ZVVlMTW5uRFN3OHBmTEFr?oc=5" target="_blank">A thermodynamics-integrated physics-guided neural network for soil temperature forecasting</a>  <font color="#6f6f6f">Nature</font>

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Physics guided fused image learning with enhanced squeeze excitation for failure analysis of multistage centrifugal pumps
Naturetech

Physics guided fused image learning with enhanced squeeze excitation for failure analysis of multistage centrifugal pumps

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5KNDFGN3V1bjdqT2VHTnlUMzIyZ3VXSkdFUU1Dd09nVkNzaXAtYVpxcG4wNHJUcVZJSDA3NGJrYTZjWjZadzhkTGFqcWtFbE9GWUxmM3BRTGFJcG1tRDdF?oc=5" target="_blank">Physics guided fused image learning with enhanced squeeze excitation for failure analysis of multistage centrifugal pumps</a>  <font color="#6f6f6f">Nature</font>

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Vehicle-wise validated ensemble learning framework for robust electric vehicle energy consumption prediction using physics-guided features and statistical benchmarking
Naturegeneral

Vehicle-wise validated ensemble learning framework for robust electric vehicle energy consumption prediction using physics-guided features and statistical benchmarking

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4wSXRqNjJyNUN4cFhueEJjUjVnSUstWS0tRjBpbWNMOTllQWV2REZhYmNrZi1EUnhmX2RLM1dDYUJ5aGdxWHpZeXNFWnV1THJQZi15MXUzZ1c1cVR1dzhR?oc=5" target="_blank">Vehicle-wise validated ensemble learning framework for robust electric vehicle energy consumption prediction using physics-guided features and statistical benchmarking</a>  <font color="#6f6f6f">Nature</font>

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Physics-informed multi-task learning for permeability prediction and probabilistic HFU modeling: a case study from the Lower Bahariya Reservoir, Shahd SE field Egypt
Naturegeneral

Physics-informed multi-task learning for permeability prediction and probabilistic HFU modeling: a case study from the Lower Bahariya Reservoir, Shahd SE field Egypt

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE56eTJYRlZJWDZtVkZrOENPLU9jV242UVB5WDNLaVllNjh1Yi1HT1hUXzBocTNvV2MyeTBEVkVET1IzOGVmQXFmamw4bmFUMzRVQTNWaERzUjhMOXcxRGQ0?oc=5" target="_blank">Physics-informed multi-task learning for permeability prediction and probabilistic HFU modeling: a case study from the Lower Bahariya Reservoir, Shahd SE field Egypt</a>  <font color="#6f6f6f">Nature</font>

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Hybrid physics-informed machine learning framework for calibration-free degradation prediction of lithium-ion batteries
Naturegeneral

Hybrid physics-informed machine learning framework for calibration-free degradation prediction of lithium-ion batteries

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE14M2Q5UHRFTHZ2eDZ6RmktMkJBMFR2V2lkdXg4RUR2TzZnZ0o0cUh4RTdZLTBWWU5NblR6cnhYbFJzSGNfckkwVXpKbDNjWEVVaG4tbkR0MXVXcU5nQ0c4?oc=5" target="_blank">Hybrid physics-informed machine learning framework for calibration-free degradation prediction of lithium-ion batteries</a>  <font color="#6f6f6f">Nature</font>

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Physics-guided explainable machine learning for multi-response modeling of electrochemical micro-machining using polymer graphite electrodes
Naturetech

Physics-guided explainable machine learning for multi-response modeling of electrochemical micro-machining using polymer graphite electrodes

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5qOWFyeE5aUy1NWnNYVG9HNERPdkg4MlBJdU91bmtTeXA2dVNqcE13N05pWTRrZmgyRVVnRlhGS0JFYWpWcV9ZZUpWN1pBMDcxeF8tX0JRNkx1cFotUHM4?oc=5" target="_blank">Physics-guided explainable machine learning for multi-response modeling of electrochemical micro-machining using polymer graphite electrodes</a>  <font color="#6f6f6f">Nature</font>

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Physics-guided self-supervised learning for high-fidelity reconstruction in live-cell imaging
Naturegeneral

Physics-guided self-supervised learning for high-fidelity reconstruction in live-cell imaging

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9VQXlXamdEc2xkbEtKa3pNVHVpZ213Qk12NW9vRl9yd0F0OEx0TGFQTFBwUWpZTHZvYTV5VHZZcmUxYkVjWFlFOXVieG5iUUppb2UyZFdGYndKNDFpX3Fr?oc=5" target="_blank">Physics-guided self-supervised learning for high-fidelity reconstruction in live-cell imaging</a>  <font color="#6f6f6f">Nature</font>

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Robust cross-domain blast furnace tuyere leak detection via few-shot guided simulation-to-real adaptation
Naturetech

Robust cross-domain blast furnace tuyere leak detection via few-shot guided simulation-to-real adaptation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1qdVNnNmJ2VXV5QXEwMlJiNVVZNVM4WVJqZGJyVzVxZDFkQ0YzUEhteW1IejVUbWlzcUZpNWxjRGl6VmxYTzdZZ1FxbHlraV9KZVRhblBWWURQd2Nvc3FV?oc=5" target="_blank">Robust cross-domain blast furnace tuyere leak detection via few-shot guided simulation-to-real adaptation</a>  <font color="#6f6f6f">Nature</font>

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Physics-guided GNN-transformer model for multi-scale fatigue life prediction of concrete track slabs in high-speed railways
Naturetech

Physics-guided GNN-transformer model for multi-scale fatigue life prediction of concrete track slabs in high-speed railways

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBfTE51VmE0MGlkUHV5eE1mZ1QwcmsyVVAtT3A5QXhacElYbVpfc1RRZk8tUnFGQkdyWDdzY1MweHNra1V5eGpaTnU0TEpxeWpiV29aelBPQS1EMnctYkp3?oc=5" target="_blank">Physics-guided GNN-transformer model for multi-scale fatigue life prediction of concrete track slabs in high-speed railways</a>  <font color="#6f6f6f">Nature</font>

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Tri-domain prediction and optimization of nanocomposite polymers for high-performance 3D printing
Naturetech

Tri-domain prediction and optimization of nanocomposite polymers for high-performance 3D printing

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9TTy1aQWFCUDVWQllNbURfUGZKZGtVVDhnNU5oRjIyX0xpdWhsUGxaTHYwQXFvT1owQkpoWHVZa19MbEdVZW5Va2xRUTY5SENwN3BPTE9BMEl3ZXNCM0kw?oc=5" target="_blank">Tri-domain prediction and optimization of nanocomposite polymers for high-performance 3D printing</a>  <font color="#6f6f6f">Nature</font>

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Visual recognition algorithm for weakly labeled multi-source data fusion of remote sensing images
Naturegeneral

Visual recognition algorithm for weakly labeled multi-source data fusion of remote sensing images

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBKa2RQeEpGOW05Q180bUdWNzZGZ21LWDl3X0tWcW1yN1VMaWF2R1pLTlJBcl8teERpbUltNmNXSnhlMnJ6ZXFZLUc3RHFsYnlEeHVpa0xpNE4xM2FfbEZJ?oc=5" target="_blank">Visual recognition algorithm for weakly labeled multi-source data fusion of remote sensing images</a>  <font color="#6f6f6f">Nature</font>

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PIFC-SABiLSTM: physics-inspired feature constraint with self-attention bidirectional LSTM for interpretable fault diagnosis of rolling bearings
Naturetech

PIFC-SABiLSTM: physics-inspired feature constraint with self-attention bidirectional LSTM for interpretable fault diagnosis of rolling bearings

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4ycTJKa19UVDdNVmtwQk5mTGVjMnFuZXoxcGxEb1lxNVJPVFJWNXZqeW4xVGZvSUdYbXhDNUNYQ2tiVl9PV3EtTTBKV0dTQ0ttYzhjY19FSFhQUXNFYzZr?oc=5" target="_blank">PIFC-SABiLSTM: physics-inspired feature constraint with self-attention bidirectional LSTM for interpretable fault diagnosis of rolling bearings</a>  <font color="#6f6f6f">Nature</font>

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Gaussian process regression with physics-guided pseudo-sample augmentation for wear prediction under sparse measurements in milling
Natureworld

Gaussian process regression with physics-guided pseudo-sample augmentation for wear prediction under sparse measurements in milling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE52TEh1VmNIQ20xaExZRmRlQlNOcFpXUm5UMG1kNGY2cmdrQzZCNTE1WHZoUlY1VElpUV9TbzlDWjNoS3FEbmxFYk5icWhLcC02Uk01aWpXMDlldVN6bHV3?oc=5" target="_blank">Gaussian process regression with physics-guided pseudo-sample augmentation for wear prediction under sparse measurements in milling</a>  <font color="#6f6f6f">Nature</font>

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Keysight Addresses Cross-Domain Physics Issues That Leave Electronic Designs Vulnerable to Late-Stage Failure
Business Wiretech

Keysight Addresses Cross-Domain Physics Issues That Leave Electronic Designs Vulnerable to Late-Stage Failure

<a href="https://news.google.com/rss/articles/CBMi-gFBVV95cUxPTjNrTEhhemRHSG8zZGI5dGFTcFBmbkdFMEZCVUlUWDQ4NG9GcUdLb19LM0JiQXpnUVV1dTlGRlNxa2w2a3VkZVZZdFN2LUlpZTBIa0V5a29XWkd3X2thMDV2ZVFPaWZwZFNKZmM4bGZRUlNORERCRzdzUEtFb0s1LUFnSWpad3EzZ0hjV1dFSmdrc2U0Zmphd0RIRXNuRTU3TjdoRGc1MjhNNjRVN01JOEtRb2UzVk44d2VBRVFoejlXZ1BnTHVWQUxodU1wWWhtWDRTbFNfYW9qeUlOWEVYTnNjbTVaWVlpem5LRzRiSTh2WnlFTUVtUGVR?oc=5" target="_blank">Keysight Addresses Cross-Domain Physics Issues That Leave Electronic Designs Vulnerable to Late-Stage Failure</a>  <font color="#6f6f6f">Business Wire</font>

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Frequency-constrained robust unit commitment via physics-guided piecewise-linear nadir surrogates and adaptive virtual inertia
Naturetech

Frequency-constrained robust unit commitment via physics-guided piecewise-linear nadir surrogates and adaptive virtual inertia

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE11SDdaOHBkdmFPRXlPdmxBS3dhYmUtalFzYVo1eEFONkxNLVh4X3o0V3B1N0djcGF5ZVJaek9MaFdfZWdXSmVxX1YxRDVLbXpxWlV2VWFUSkVscVZCVWow?oc=5" target="_blank">Frequency-constrained robust unit commitment via physics-guided piecewise-linear nadir surrogates and adaptive virtual inertia</a>  <font color="#6f6f6f">Nature</font>

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Physics-guided machine learning framework for RCA concrete by experimental database, modelling, and statistical validation
Naturegeneral

Physics-guided machine learning framework for RCA concrete by experimental database, modelling, and statistical validation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE54R0dHazduRk9Rc1FSYVNBWFpETTZfUGhnemxuTkdOSFdveVRNUk9xRG1jWG1iNnB4VEk0WWR6Vl9XSVJCV1RmeGFDQzN1NEJsRnE5WlJBcXhISVN1M3k4?oc=5" target="_blank">Physics-guided machine learning framework for RCA concrete by experimental database, modelling, and statistical validation</a>  <font color="#6f6f6f">Nature</font>

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An accurate realtime underwater object segmentation using improved dual-domain YOLOv11-UOS with physics guided adaptive enhancement and attention-boosting
Naturetech

An accurate realtime underwater object segmentation using improved dual-domain YOLOv11-UOS with physics guided adaptive enhancement and attention-boosting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE90b0NPRW9lV2R2czBmUXhVT1JiN0RYVTJaaXlDWXJSckVqWFU3RWRTODNBTGh0T1pNZTVfMnIxT3JsR0NrbmJSd0RMQjBtYkNiRGwtRDBSam1iY2NvSzF3?oc=5" target="_blank">An accurate realtime underwater object segmentation using improved dual-domain YOLOv11-UOS with physics guided adaptive enhancement and attention-boosting</a>  <font color="#6f6f6f">Nature</font>

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Vol. 40 No. 16: AAAI-26 Technical Tracks 16
The Association for the Advancement of Artificial Intelligencetech

Vol. 40 No. 16: AAAI-26 Technical Tracks 16

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBIUFI3MUd0cWJtRU0xTXhDNUpKNjdOc2s1LWpZSXdOaHFiRHVzOWU3dXQzcWtFaVUtVnZpNHZydjZVY0diaHE2TjBFcjE3aGhjSDhJMDViNFZ4b3ZORWNZ?oc=5" target="_blank">Vol. 40 No. 16: AAAI-26 Technical Tracks 16</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Mechanistic neural operator framework for multi-objective optimization of Ti-6Al-4 V metal matrix composites
Naturegeneral

Mechanistic neural operator framework for multi-objective optimization of Ti-6Al-4 V metal matrix composites

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBheTFJelJBbHdobFpIMTVMeUhESUNEMWl4ci1SbGRuNi1ad2Z4eWpacEJFQzk3Vldvay1NVXQ4dEVsbjhHbzktZ1dRV0tkRnZZSGM5aTUxclQtSEUtUFNJ?oc=5" target="_blank">Mechanistic neural operator framework for multi-objective optimization of Ti-6Al-4 V metal matrix composites</a>  <font color="#6f6f6f">Nature</font>

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Vol. 40 No. 28: AAAI-26 Technical Tracks 28
The Association for the Advancement of Artificial Intelligencetech

Vol. 40 No. 28: AAAI-26 Technical Tracks 28

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9OUk9JZURLdDR0M1k1NktpU1U5WWtBRFJ1R3l4VVJBbU9xWnlHQ3h0M2o4dUZVR0xqdUVfdk1JOWFRZERXcVBXWWxrV1hFSnJ0cjBabEthQXRpdG1rTlM4?oc=5" target="_blank">Vol. 40 No. 28: AAAI-26 Technical Tracks 28</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Think like a Scientist: Physics-guided LLM Agent for Equation Discovery
alphaXivgeneral

Think like a Scientist: Physics-guided LLM Agent for Equation Discovery

<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTE5UaERfbWpmTXlsS1FjMHNuZllvLTZDNkU5b3ZiVXl0ckg4bGpyWUxFUi1yMHZZVWMxVXFJOWNOajJBQ2FmV21xX0Z5c2l0MWtx?oc=5" target="_blank">Think like a Scientist: Physics-guided LLM Agent for Equation Discovery</a>  <font color="#6f6f6f">alphaXiv</font>

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Knowledge-guided adaptation of pathology foundation models effectively improves cross-domain generalization and demographic fairness
Naturetech

Knowledge-guided adaptation of pathology foundation models effectively improves cross-domain generalization and demographic fairness

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBGQi1MMUV4Um9QLWdCNENiVHBtNDdsa1hPd3ZscDVpX3JVSC1lcDNIMTlFclF1SmZJRUNDb3FLSW9Ta0FYeUZvbjNNbmFac1hxYl9oamFvdnoxNEhaaUlN?oc=5" target="_blank">Knowledge-guided adaptation of pathology foundation models effectively improves cross-domain generalization and demographic fairness</a>  <font color="#6f6f6f">Nature</font>

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A thermal resistance prediction model for heterogeneous integrated chips incorporating an AI-based BP neural network
Naturetech

A thermal resistance prediction model for heterogeneous integrated chips incorporating an AI-based BP neural network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1YSmdVcDJfQ0dpdHM4V1ZZT1dMUllWTmJYQ1NUNFdnMWpERkI4aWFUZ2xIeUZCSy1hUkpxN2xpVmdoR1RmNTFPTDBsWjY3c1dOSDMwSGlNTnMtclNFN1g0?oc=5" target="_blank">A thermal resistance prediction model for heterogeneous integrated chips incorporating an AI-based BP neural network</a>  <font color="#6f6f6f">Nature</font>

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