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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Physically interpretable" (30 stories)

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From data chaos to physically interpretable deterministic mapping
Lead StoryNaturegeneral
Jul 13

From data chaos to physically interpretable deterministic mapping

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBWamx5Mk9acDdXV1BVOVFBbWozQTFST3MyLTZiUC1oMmtyb3FqVWt5NV9vMnp6QkRzSGUyRklsUzFHUnBUU0sza2ZkTldaOVl6ZFUxSFpWZU1BME1udWRB?oc=5" target="_blank">From data chaos to physically interpretable deterministic mapping</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Physically interpretable"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

29 stories displayed
AI extracts interpretable constitutive laws directly from solid-mechanics data
Phys.orgtech

AI extracts interpretable constitutive laws directly from solid-mechanics data

<a href="https://news.google.com/rss/articles/CBMie0FVX3lxTE5Rb2w2Y2kwSDJ3NC1lcjZYZGNTUnVuYzlFdThGTHVLcjlTYWRucmhxcWM5Q1ZTLTNtVmNQaFBUZWNYMERkb3BDQTlfRFBPWVRWa0N4cFA1YjdwSFlESWFnb1VNaGw1WS1aNHQ3ZDR1S2xkeU1MTGlra3JiQQ?oc=5" target="_blank">AI extracts interpretable constitutive laws directly from solid-mechanics data</a>  <font color="#6f6f6f">Phys.org</font>

A physically interpretable precursor framework for sub-seasonal prediction of Northern Hemisphere flash flourishing
Naturegeneral

A physically interpretable precursor framework for sub-seasonal prediction of Northern Hemisphere flash flourishing

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5GakR4dHFxdVhoeXNmVzJIbFlXMV8zTVVJQkpaWF9qUnNKOGkxWnVreFlwYnFmSnpZM2FGQlFFdXd0ME9VeFdFeVE2RS05RUlTUTdkN1NCbm1xSHdGOW5J?oc=5" target="_blank">A physically interpretable precursor framework for sub-seasonal prediction of Northern Hemisphere flash flourishing</a>  <font color="#6f6f6f">Nature</font>

MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting
The Association for the Advancement of Artificial Intelligenceworld

MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFAxNDl5ZDE3cEN6MlJ4LWtmZDNYUnREXzVnSEFBQmg1c1UxNTFWeE5zOWt0U3Q5bDA2REVGWkVEMTFVOFdWSlhzWmJtd1V1TndTM0xlOHNKdHJLcGVfYUhtU295R3Y?oc=5" target="_blank">MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Advancing Physical Understanding with Interpretable Machine Learning
American Physical Societyworld

Advancing Physical Understanding with Interpretable Machine Learning

<a href="https://news.google.com/rss/articles/CBMiUkFVX3lxTFBvaUE4Qlg4QWF4M3lpdVdWczNCdzJack9kVVY4NG9RQlBlNWFNWVV2VjhVRFVKWGpLSWZJVGNNVWVUaDFsSmpINzhJc0tiaHZPV3c?oc=5" target="_blank">Advancing Physical Understanding with Interpretable Machine Learning</a>  <font color="#6f6f6f">American Physical Society</font>

Chinese Researchers Develop AI-physical Ensemble Forecast System to Improve Typhoon Track Forecasts
Chinese Academy of Sciences (CAS)tech

Chinese Researchers Develop AI-physical Ensemble Forecast System to Improve Typhoon Track Forecasts

<a href="https://news.google.com/rss/articles/CBMigAFBVV95cUxQNlF0TjlEZ0xiX2dGRHB3bnFoOFQ0RHNSZW1mSV9mSTliRnUyMzRYMWZVUVQxYTJVNHZkcXJuNmFBUFdRSHZTcjhRTDA0b0RHS1AzVmJiWnI5eTNCU181WHNLeXpMYWc1UGNXbi05UU53S1ZOYlA1aDRiSmhEVkhyNQ?oc=5" target="_blank">Chinese Researchers Develop AI-physical Ensemble Forecast System to Improve Typhoon Track Forecasts</a>  <font color="#6f6f6f">Chinese Academy of Sciences (CAS)</font>

Interpretable machine intelligence for materials design of metal hydrides
EurekAlert! Science News Releasesgeneral

Interpretable machine intelligence for materials design of metal hydrides

<a href="https://news.google.com/rss/articles/CBMiXEFVX3lxTE1rX1EtZy1QdHB3UjBqbHEyYWVHNVd3SnJpQmpTWElrR3FrckFlQWxpM2gzbWRJU1pjZ2c3djJRLTFveFZkem13bER3bDNDcnhzM1FqYWpqN3JmUEkz?oc=5" target="_blank">Interpretable machine intelligence for materials design of metal hydrides</a>  <font color="#6f6f6f">EurekAlert! Science News Releases</font>

physically interpretable residual strength prediction of corroded pipelines via symbolic Bayesian networks
Naturegeneral

physically interpretable residual strength prediction of corroded pipelines via symbolic Bayesian networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5CcjV2dk0tRzdwOExDWjJDUTAxWldiUlhVWlZHb2g0c1FGMm5fSmN3bmdrY205M0RRWGYxNjJMSmZ5TEdPaEp4OUNnMk5vblY5b3NsdE5IZE5NQkstcWZZ?oc=5" target="_blank">physically interpretable residual strength prediction of corroded pipelines via symbolic Bayesian networks</a>  <font color="#6f6f6f">Nature</font>

Interpretable AI reveals key atomic traits for efficient hydrogen storage in metal hydrides
Phys.orgtech

Interpretable AI reveals key atomic traits for efficient hydrogen storage in metal hydrides

<a href="https://news.google.com/rss/articles/CBMicEFVX3lxTE8tdkFCMlNObDh0dElZRk9iTTJTS2xXUHF0eC1BalBsQmNSY19ZbHZfVnBwNENhbXc4Rk16Q1dVVzcwc2tPM1dSd3JMVXFHMUdBMl84SzZnQnd1Z0IxX2NiWEc4OU9jYTVzcmotano1bzY?oc=5" target="_blank">Interpretable AI reveals key atomic traits for efficient hydrogen storage in metal hydrides</a>  <font color="#6f6f6f">Phys.org</font>

Physically interpretable interatomic potentials via symbolic regression and reinforcement learning
Naturegeneral

Physically interpretable interatomic potentials via symbolic regression and reinforcement learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE15QlNGd00tb1NjN1N3VVhmcGh0UXdDNWFvc1h2ZElJV2R6UW42akxDczliaG54cWtXVTdWTzdYUVRtVThXNnhCaVkzNWNfUnNxSXhqQWFOYWRLRFhOZjBz?oc=5" target="_blank">Physically interpretable interatomic potentials via symbolic regression and reinforcement learning</a>  <font color="#6f6f6f">Nature</font>

Interpretable AI unlocks new thermal material frontiers
EurekAlert! Science News Releasestech

Interpretable AI unlocks new thermal material frontiers

<a href="https://news.google.com/rss/articles/CBMiXEFVX3lxTE9tVlhOTmw3SnMtRFQ4TjhOVUNTZUd0cW1PRkVNMmttd3R0Y0d2V0psZ0l6LVJsMGZrVmQ2bHJFclkyX0liZjlUb2dkXzY1bDdJQkpaTlV0YUlQeEpX?oc=5" target="_blank">Interpretable AI unlocks new thermal material frontiers</a>  <font color="#6f6f6f">EurekAlert! Science News Releases</font>

Sequential estimation of disturbed aerodynamic flows from sparse measurements via a reduced latent space
APS Journalsscience

Sequential estimation of disturbed aerodynamic flows from sparse measurements via a reduced latent space

<a href="https://news.google.com/rss/articles/CBMibEFVX3lxTFBLNkYzN1M0cnN6N1cxMEJYM3RuVE9yeHptZzlaYlpjY054U3hGblRXaHhJT1JNckpUS1lzQ2dmSFJ3UG5JQ0thakRJd1Q2ZzR1Z25pWmtyOUJQRmlzSDBZX1BpMlNtZGcyZkhfMw?oc=5" target="_blank">Sequential estimation of disturbed aerodynamic flows from sparse measurements via a reduced latent space</a>  <font color="#6f6f6f">APS Journals</font>

Interpretable Solutions for Multi-Physics PDEs Using T-NNGP
The Association for the Advancement of Artificial Intelligencegeneral

Interpretable Solutions for Multi-Physics PDEs Using T-NNGP

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5VMUNka3YzSDJkT0tMaWFnMGROQW9qQTJHc2NQSEhrUjFocjJ5WG01ZW1NUzlXLXMxVTFXTU9zMklXX04zeU82T0J5M0N4U0d1dkFhS2hUakxiX2FnWHZwQXo1UXg?oc=5" target="_blank">Interpretable Solutions for Multi-Physics PDEs Using T-NNGP</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Octahedral-motif-guided design of optoelectronic semiconductors via interpretable machine learning
Naturegeneral

Octahedral-motif-guided design of optoelectronic semiconductors via interpretable machine learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1Fc0dBeGJUSVI4eXVVVUZxZ3RGQkhXajhsZTJ0Nk1zd2ZRaFNrYnEtaTRCbTZaeXE3LWhQOGRtczN3eUphY0tTc3lzOFpnTlg2SFlpVzBEckFXOTQ3Nllj?oc=5" target="_blank">Octahedral-motif-guided design of optoelectronic semiconductors via interpretable machine learning</a>  <font color="#6f6f6f">Nature</font>

Physics-informed hybrid GR4J–XGBoost model for streamflow prediction: integrating conceptual states, SHAP interpretability, and uncertainty analysis
Naturetech

Physics-informed hybrid GR4J–XGBoost model for streamflow prediction: integrating conceptual states, SHAP interpretability, and uncertainty analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE94Z0c0Q2NNNjlBQjVJNWpCUVlVNEZWMTFOSTE1VjRuVFVXRDJBd3ptNURJeThZR0xyXzAwdExXTkVESFNtazkyRFNpUk1XSlBqVUEzQi1YS2NmQVVjMlAw?oc=5" target="_blank">Physics-informed hybrid GR4J–XGBoost model for streamflow prediction: integrating conceptual states, SHAP interpretability, and uncertainty analysis</a>  <font color="#6f6f6f">Nature</font>

Interpretable machine learning for thermoelectric materials design with Kolmogorov–Arnold networks
Naturegeneral

Interpretable machine learning for thermoelectric materials design with Kolmogorov–Arnold networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8wN05rOGY2dmdOMEN4dGtBbnRhZThBc3lzbkhVeWc4UVN4WjZUMlhqekZZenR1Tmx0bTh3QVhZQTY2UGQwVGtRWFZEZlRHcXVUeVM0R2dkb2NQbVN2c09F?oc=5" target="_blank">Interpretable machine learning for thermoelectric materials design with Kolmogorov–Arnold networks</a>  <font color="#6f6f6f">Nature</font>

iMOE: prediction of second-life battery degradation trajectory using interpretable mixture of experts
Naturegeneral

iMOE: prediction of second-life battery degradation trajectory using interpretable mixture of experts

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ZNGE5LU8tSlBsemhNZUpONk94NmduUlUxWk02ckVFOXpobGZFSldCYUpNOUxiYVlnaUFUZ1VBTzFlSnVDdFA4UlAzNUJ3UlJEWEpxTHljQnVyTXhfWUVB?oc=5" target="_blank">iMOE: prediction of second-life battery degradation trajectory using interpretable mixture of experts</a>  <font color="#6f6f6f">Nature</font>

Distilling experience into a physically interpretable recommender system for computational model selection
Naturepolitics

Distilling experience into a physically interpretable recommender system for computational model selection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ERHZlQl94bGVGLTJ1blhmXzJUMlp5NXZ2cEoteTQ2WWlSSko4czdyYkx5NGRsT1hMSWpiel9ENVk0bi0xdVVvVDlWeXNMMGhQTlctNm16YXRQUldmeEl3?oc=5" target="_blank">Distilling experience into a physically interpretable recommender system for computational model selection</a>  <font color="#6f6f6f">Nature</font>

Distribution-informed machine learning for flash flood susceptibility: integrating weibull extreme value theory with interpretable models
Naturegeneral

Distribution-informed machine learning for flash flood susceptibility: integrating weibull extreme value theory with interpretable models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBkNkt1amx3RlJGR01NWHFtUEtzRVpJZWxST0VQbkZxYTUtY2s3LXg4aW5HdHJ6R3ZvNlptYzVycDR0VXEwM1pqYllheGtXTXE4d2V3ZlduTy1CcjN1THFF?oc=5" target="_blank">Distribution-informed machine learning for flash flood susceptibility: integrating weibull extreme value theory with interpretable models</a>  <font color="#6f6f6f">Nature</font>

Research News - Interpretable Machine Intelligence for Materials Design of Metal Hydrides
Tohoku Universitygeneral

Research News - Interpretable Machine Intelligence for Materials Design of Metal Hydrides

<a href="https://news.google.com/rss/articles/CBMisgFBVV95cUxPamdlUGNKNDNXd2d2eGlZWDlOTUZiZ3Q4TTQ2UWt1LXl2N2VKNEZSQU5kTElpRUtBcTU1cU5YY3VNZ3VZcDd3czRFTGpicS1uZGVCc0I2UG9JdUl6MmtTa2FPT2plaHhwYVJROTlsOFRvUWxnQ0JhaWVpc3Jqb21wLXhVdzcyaUVROGp3dzBkc19KUV9zYWhwS0dKR0RpUGo4ZjY2eVprTmd3NGZCcUpXOVFR?oc=5" target="_blank">Research News - Interpretable Machine Intelligence for Materials Design of Metal Hydrides</a>  <font color="#6f6f6f">Tohoku University</font>

Physics-informed deep learning for molecular solubility prediction: integrating thermodynamic constraints with neural network architectures
Naturetech

Physics-informed deep learning for molecular solubility prediction: integrating thermodynamic constraints with neural network architectures

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE84VVktNmtuUjFsX1NqbTh0Rkxfb2xPZUJRbHM3dUpVZFF3TWtYQkg2N2ZTVTBWZHJGWmtDTXVPTjVwRnozb19MeDJyM29oOEhaMmxSYmg2RFFmMFNSZWxz?oc=5" target="_blank">Physics-informed deep learning for molecular solubility prediction: integrating thermodynamic constraints with neural network architectures</a>  <font color="#6f6f6f">Nature</font>

Interpretable and extrapolation-stable model for predicting nanofluid thermal conductivity
Naturegeneral

Interpretable and extrapolation-stable model for predicting nanofluid thermal conductivity

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1WclYzNGRFdU1zdDl6MDRXaHJfUlluRHFiMTNmUEcxdEM1UHpKUzNuakJ2aUxPd2l3LWZETG5DRkVMbF9VT2JEVnhBY0djaGdCa2ptNmhQb203YWVzQTln?oc=5" target="_blank">Interpretable and extrapolation-stable model for predicting nanofluid thermal conductivity</a>  <font color="#6f6f6f">Nature</font>

An interpretable adaptive edge-weighted graph convolutional networks model for physical fitness assessment of primary school student in high-altitude regions
Naturegeneral

An interpretable adaptive edge-weighted graph convolutional networks model for physical fitness assessment of primary school student in high-altitude regions

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9xTnhYVndleTlGRFVDYUhqd3plU0FKd2daZWZnTHRGUWtLM3hIcjdTX1I0RmVZT0NSZDJvMTJUTHVoRVgtNnIzYWE0eHlaM2NPNjRQanVZLVI4RWk2MFdr?oc=5" target="_blank">An interpretable adaptive edge-weighted graph convolutional networks model for physical fitness assessment of primary school student in high-altitude regions</a>  <font color="#6f6f6f">Nature</font>

Interpretable machine learning for shoreline forecasting
Naturegeneral

Interpretable machine learning for shoreline forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAyYnZLWWJ6aUJNRHdXb1VNdjdwUkU2ajhqRGRDaFk1SGhIX0J2dGV4Rkg3YTNpMjhCM2thV3JoVk5lTzB6Smh5eEJnemN6WFhMUTh6Ry1idndJS3ctaF80?oc=5" target="_blank">Interpretable machine learning for shoreline forecasting</a>  <font color="#6f6f6f">Nature</font>

A flexible bounded stochastic framework for uncertainty and reliability in physical systems
Naturetech

A flexible bounded stochastic framework for uncertainty and reliability in physical systems

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9YdExRT0JydjBtd0FuVEFDWVFpZEpKU25HaXpYWFFVSHAyRnh6bTMzcERqZmxXZTFjLW11bHhXYkpwSk1KVE0wdy1raUxkcFdCUFAxWFlCbTBlTXpYVURj?oc=5" target="_blank">A flexible bounded stochastic framework for uncertainty and reliability in physical systems</a>  <font color="#6f6f6f">Nature</font>

PhysEmbedFormer: a physics-guided interpretable architecture for days-ahead forecasting of PV power
Naturegeneral

PhysEmbedFormer: a physics-guided interpretable architecture for days-ahead forecasting of PV power

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1HWC15WWYtczBZZkstZFhxSHZhTFJsaFZKbHZpZzhtblNWVEQ1Q0plMk5KRlg4QjdFbW9IREJyUDNxLWdRdzJ5QlF0MXl5eGNDcmt5TTZLZWFYOXU4Rk5B?oc=5" target="_blank">PhysEmbedFormer: a physics-guided interpretable architecture for days-ahead forecasting of PV power</a>  <font color="#6f6f6f">Nature</font>

Dimensionless framework improves transferability in prediction of porosity of aluminum and steel welds
AIP.ORGgeneral

Dimensionless framework improves transferability in prediction of porosity of aluminum and steel welds

<a href="https://news.google.com/rss/articles/CBMizAFBVV95cUxQODFoNHBnVm5wQTNTbDg0M082NnkwQkNqTG9LQnhfVFpNbEotS0RWV1ZqaUtmT0NWdlVzR1NyM2NhTUxUVUVmRGozQTl0eHJYQ3dzSTNKSXVLeU9zVWNrc2xJRnVNZTZueGRXRTN4bVcxVTR0Z2ZZMFpIOGVGUFFmNW1nRmpOR0ZZMVAwUlBYU1BVMmxhd3l2VGhBSWd1SEFaaGNKZ1czNzhNYW5yM19BdFZSSG05eHV1eXdnWXg1NG45c1pKRkdMQVBMZk0?oc=5" target="_blank">Dimensionless framework improves transferability in prediction of porosity of aluminum and steel welds</a>  <font color="#6f6f6f">AIP.ORG</font>

Climate-aware hybrid Kolmogorov–Arnold networks for interpretable solar radiation forecasting
Naturescience

Climate-aware hybrid Kolmogorov–Arnold networks for interpretable solar radiation forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9vRTR5Tl9ZLV9EWldLYW03OGFWR2hiUmRPWjlTWmRaRy1BRVZYVHJ5cEl1ZWgwZFJGWU96djNWb0xNZ2FYWDVNZE02LUhsdkl1LUVYWHQ3TDhlUnNkNmpv?oc=5" target="_blank">Climate-aware hybrid Kolmogorov–Arnold networks for interpretable solar radiation forecasting</a>  <font color="#6f6f6f">Nature</font>

Moving from table to graph in physics-informed spatio-temporal symbolic regression
Naturegeneral

Moving from table to graph in physics-informed spatio-temporal symbolic regression

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBMVkR0YVJ2cVVQcHJHSS1qSmJmWmEtVDVKUTJXdVhDeWQzdGE1YlZrZnRvdmNNSVBPSTY5VWxjX2pVdzQzVXZqRC1VYlhib0pzWXdqQWRsZTlCVUJTalVJ?oc=5" target="_blank">Moving from table to graph in physics-informed spatio-temporal symbolic regression</a>  <font color="#6f6f6f">Nature</font>

A dynamic-gated Mixture-of-Experts framework improves and interprets daily streamflow simulation
Naturetech

A dynamic-gated Mixture-of-Experts framework improves and interprets daily streamflow simulation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE15U0NhdGlCaGlBa05FWUtCUXQ1Z19zTUpucGdXUU5VRTFvbHBhWmowMlVEZTlteXhiekJITldESUV1eEp1UEN5OU9XbEp6VjA4LWo5bWd5bXhvdlpLQUFj?oc=5" target="_blank">A dynamic-gated Mixture-of-Experts framework improves and interprets daily streamflow simulation</a>  <font color="#6f6f6f">Nature</font>

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