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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Benchmarking machine lear" (30 stories)

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A systematically designed open-access dataset for cross-microscope machine learning benchmarking in complex steel microstructure classification | Scientific Reports
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Sep 25

A systematically designed open-access dataset for cross-microscope machine learning benchmarking in complex steel microstructure classification | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBvQ1ljNFRmOTRHUzZYQWt5LTZTNG5lNDFvU2d1RFJMalJPUWxvbFpZQ291bU5VNlRCV2xzOHFRVm1ZVER5a0tBcUV5dzFtZ1pjdFlsbWFrTHMzaGhUQTdz?oc=5" target="_blank">A systematically designed open-access dataset for cross-microscope machine learning benchmarking in complex steel microstructure classification | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Benchmarking machine lear"

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29 stories displayed
Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6
Amazon Web Services (AWS)tech

Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6

<a href="https://news.google.com/rss/articles/CBMisAFBVV95cUxQY05CMi1aODEzR09IRXVITlFPZXR3c3pldjlLMHJZdjM2WmM3ZUxNXzcwM3JFeUxDdGRnb0QzNXMxZTFudWp4NlRJU3QyUTE0blRCLUFtcEpaZDZqTkNyeGtzX21walJjWE1CcGk1YTZoUi01S1J0c09XWnJiV1RFLTBWa1VodXFUc25kWjF2VmdZUml4OWR4WkU5Zkd2RXM5b1hxamJZMXRDSEx4YUZOXw?oc=5" target="_blank">Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6</a>  <font color="#6f6f6f">Amazon Web Services (AWS)</font>

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Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU Benchmarking, Explainability, Clustering, and Model Inference
MarkTechPosttech

Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU Benchmarking, Explainability, Clustering, and Model Inference

<a href="https://news.google.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?oc=5" target="_blank">Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU Benchmarking, Explainability, Clustering, and Model Inference</a>  <font color="#6f6f6f">MarkTechPost</font>

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WISER and E.ON Benchmark Quantum Machine Learning for Smart Grid Energy Forecasting
Quantum Computing Reportgeneral

WISER and E.ON Benchmark Quantum Machine Learning for Smart Grid Energy Forecasting

<a href="https://news.google.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?oc=5" target="_blank">WISER and E.ON Benchmark Quantum Machine Learning for Smart Grid Energy Forecasting</a>  <font color="#6f6f6f">Quantum Computing Report</font>

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Benchmarking universal machine learning interatomic potentials on elemental systems
Natureworld

Benchmarking universal machine learning interatomic potentials on elemental systems

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB5YWlnMlE0R0k5Z1pIZ0NZbTJja1ZmVDU0S3pwakd6VUxWWG5RdTFDUk13MkFQYVoyVVA3cnFFNE9fR0JIQmxiY3EtNGpyTzFLalF1dUdlOUtLQjgtdTJR?oc=5" target="_blank">Benchmarking universal machine learning interatomic potentials on elemental systems</a>  <font color="#6f6f6f">Nature</font>

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Quantifying the impact of feature-driven shortcuts in machine learning benchmarks for circuit performance prediction
Naturegeneral

Quantifying the impact of feature-driven shortcuts in machine learning benchmarks for circuit performance prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA4VFQ0TGdLdDhPN1d6eEFhbXhxV2xlUVdJS1VTaTVmYTRWZm9QQndaT3EyeFhtQTZrTDFwbzFwdzkybnhPdzZZZXU1YzE4bkU1MTUwS1Y2VGlIU1hHb2Vn?oc=5" target="_blank">Quantifying the impact of feature-driven shortcuts in machine learning benchmarks for circuit performance prediction</a>  <font color="#6f6f6f">Nature</font>

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Myrtle.ai Halves Latency in Financial Machine Learning Inference Benchmark Record with VOLLO
PR Newswire Canadatech

Myrtle.ai Halves Latency in Financial Machine Learning Inference Benchmark Record with VOLLO

<a href="https://news.google.com/rss/articles/CBMi3gFBVV95cUxQRmw5NFlLeTM5RjRiLXBzZG9tLXVkRVhDb1VUZGllV2JIampZWkV1NUZLX2xqdkRpenpseFp4b2ZwbDhHbUc4YzJqdXRMU1pvb0dCZXAzNlJONXF1ZGd2dHFzMk9PQW1MWDF5SHBsbkZKT1J1OEttM2x5YmpKbUJLUi0tVkgzNmlacXNrVE9ZWm53Y1NFUnZ4bHhjNE1ld000aFQ0ZXBJcVhGdU54dXJUNFVlal9KVEo2WlJmMGNVanhSYTdHN1FzZDBkQjhkaHlPMjBpVkd4djFwTVhOVkE?oc=5" target="_blank">Myrtle.ai Halves Latency in Financial Machine Learning Inference Benchmark Record with VOLLO</a>  <font color="#6f6f6f">PR Newswire Canada</font>

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Benchmarking machine learning architectures for menstrual recovery prediction using physiologically informed synthetic wearable data
Naturegeneral

Benchmarking machine learning architectures for menstrual recovery prediction using physiologically informed synthetic wearable data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5yV2VEZ1NFQUU2QU9wZVpUUkF5TlltN25Qc3Q1bnJjM3lkVGprckhCSDdYWjFkajg2S3VGOWs0MC1kMlhKOVhMMW5jMTVuMlBuRzFlaFFSeTdrdUJYeTFr?oc=5" target="_blank">Benchmarking machine learning architectures for menstrual recovery prediction using physiologically informed synthetic wearable data</a>  <font color="#6f6f6f">Nature</font>

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Benchmarking machine learning classifiers for urban mapping in arid environments: a google earth engine analysis of Riyadh’s expansion (1990–2025)
Frontierstech

Benchmarking machine learning classifiers for urban mapping in arid environments: a google earth engine analysis of Riyadh’s expansion (1990–2025)

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxQQ3lUNWhSdHRhV256SWxub3hiWXpPX0NPWDBZNEVWVEJRZzFqRXM0UDB2dTh6RTlQdEhnWktUQ3luamhpRVZvQkF6Y1M0U0VUa3djZW5IVmFkVlRmbUx6RThibTdQS2F1VDVkRTgzcGZsWndkbFdRTkdPbkFBdUZ5M2xFMXF2QTRwa2J1SVlRNlYyZWZuRFpV?oc=5" target="_blank">Benchmarking machine learning classifiers for urban mapping in arid environments: a google earth engine analysis of Riyadh’s expansion (1990–2025)</a>  <font color="#6f6f6f">Frontiers</font>

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Benchmarking machine learning approaches for polarization mapping in ferroelectrics using 4D-STEM
Naturegeneral

Benchmarking machine learning approaches for polarization mapping in ferroelectrics using 4D-STEM

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB3OEZYeHBucWNRSVJmYjlfLTBIRExISDNTbGdJWXJXVEVaTGJfQjR3cm5oYnYydlhRa281VVNiZk50YTM4V0RnQm1Id0l5U1NpTXhWT1JBMWxJREpTbHhN?oc=5" target="_blank">Benchmarking machine learning approaches for polarization mapping in ferroelectrics using 4D-STEM</a>  <font color="#6f6f6f">Nature</font>

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Structural feature-based machine learning benchmarking for protein interface prediction | Scientific Reports
Naturegeneral

Structural feature-based machine learning benchmarking for protein interface prediction | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5zSFhrbERsdjlialZwUW9qRU9PWGExQTNhMXBYZEpCLVh2bjNzNFdvMG9hUFVzWVNuZTdlck9GSHNrQTUySzZ3NEd4MFpOQ3c0bU9jRVFyMWZWLVgzWHMw?oc=5" target="_blank">Structural feature-based machine learning benchmarking for protein interface prediction | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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PipeBench: a benchmarking framework for end-to-end machine learning pipelines
Naturegeneral

PipeBench: a benchmarking framework for end-to-end machine learning pipelines

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE03SU5NWUhBV1Q1OGhmTC1YS2tlWFpwRkJZLXJPRFFva3Z5dm5VY1ZZZXB4b0hQWlFLSEhGM1AyTzBSNWg2dU9Jd0ZFU0hLSU4zdU5lTl9ORm9VTmZudjVJ?oc=5" target="_blank">PipeBench: a benchmarking framework for end-to-end machine learning pipelines</a>  <font color="#6f6f6f">Nature</font>

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Comprehensive benchmarking and explainable machine learning analysis of EEG imagery activity recognition
Naturetech

Comprehensive benchmarking and explainable machine learning analysis of EEG imagery activity recognition

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5xdEtiblc1REVFRkg0cnRtUFZMeVFtOEdYNVJIN09wbTlYRFNwdDlJYXFhaDAwN2VmMXlCZi1FOURNQVVLY09jU0JLVDFFVXR6RnpPbE0xYmJiYXY3ODYw?oc=5" target="_blank">Comprehensive benchmarking and explainable machine learning analysis of EEG imagery activity recognition</a>  <font color="#6f6f6f">Nature</font>

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Vibrational power spectra as a tool to benchmark universal machine-learning interatomic potentials for molecular systems: the OMOL-1k-MD data set | npj Computational Materials
Natureworld

Vibrational power spectra as a tool to benchmark universal machine-learning interatomic potentials for molecular systems: the OMOL-1k-MD data set | npj Computational Materials

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5RaE1rM3NLTlYyV1hmT0tMbFpBTmVnSnZfOFZmN05NSkFHTDZ3ZnJHNm9LeGM0M1dnOHNUcEd3b0d0VzVVcWJsU25zSzVyZjRuRm1GWkh4X2FfQ0JPaE5R?oc=5" target="_blank">Vibrational power spectra as a tool to benchmark universal machine-learning interatomic potentials for molecular systems: the OMOL-1k-MD data set | npj Computational Materials</a>  <font color="#6f6f6f">Nature</font>

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A Benchmark Dataset for Machine Learning Surrogates of Pore-Scale CO2-Water Interaction | Scientific Data
Naturegeneral

A Benchmark Dataset for Machine Learning Surrogates of Pore-Scale CO2-Water Interaction | Scientific Data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9qa19nR3FBVGlxd19xTWh2VGVzemdxRkhOeWpIdEhYTF9Ma1M2dG9GYnpSV3d1WjNuWVJ6N0RnQlJuRUdmY2cxNVhId2VLa0xwbjVTYWhFTE96WDM4NzNV?oc=5" target="_blank">A Benchmark Dataset for Machine Learning Surrogates of Pore-Scale CO2-Water Interaction | Scientific Data</a>  <font color="#6f6f6f">Nature</font>

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SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction
Naturescience

SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5OT3ZoOGY3a01OVHZ1eXZNcW5NOGVjOFhKTmkxY0RhNzBEdnlsN0h4NDY3anlhSF9sRUxwaXhNNVdBUEFBcVlOWW8zVVJtcVBQdVJoQ0JPUTZQck9iZHlz?oc=5" target="_blank">SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction</a>  <font color="#6f6f6f">Nature</font>

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Benchmarking machine learning methods for synthetic lethality prediction in cancer
Naturegeneral

Benchmarking machine learning methods for synthetic lethality prediction in cancer

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBvcERXcm5icW90TFhtMU9OODFsQlo5TTNMMWk3enZuSE9OUGwxV3ptdFg4Y1l5SjdSWGx4Q2VSekpqNVhHRlRhZFY3cm9JQXpXdk0yY3QwU2x6WjRlb3Nz?oc=5" target="_blank">Benchmarking machine learning methods for synthetic lethality prediction in cancer</a>  <font color="#6f6f6f">Nature</font>

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Benchmarking the geographic generalization of deep learning models for precipitation downscaling
Naturegeneral

Benchmarking the geographic generalization of deep learning models for precipitation downscaling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5vRGs2U0E5RzlmZjBFLVVLZ2lpclF3ZktNQnlKa0lwV2lhT1B3akVIX3hpaXNveTRTZ2JycnN3NGtKSW1qaG1sUXFvTlhWdlUyNmtWd1JoWi1aeWo5TmFz?oc=5" target="_blank">Benchmarking the geographic generalization of deep learning models for precipitation downscaling</a>  <font color="#6f6f6f">Nature</font>

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Leveraging automated machine learning to benchmark, deconstruct, and compare frailty indices for predicting adverse spinal surgery outcomes
Naturetech

Leveraging automated machine learning to benchmark, deconstruct, and compare frailty indices for predicting adverse spinal surgery outcomes

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5uTzJveTBRQm5tSDVvRnE5N21TTzI1dWtLWFBnOFVyQTVxSEp4UGhEdVVNejc0RmxFc3J5bGFldWQ2MHBnS1BZSXp5dk15b1Q3RjZvWEVjMmw3T01hYUxF?oc=5" target="_blank">Leveraging automated machine learning to benchmark, deconstruct, and compare frailty indices for predicting adverse spinal surgery outcomes</a>  <font color="#6f6f6f">Nature</font>

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A benchmarking crisis in biomedical machine learning
Naturegeneral

A benchmarking crisis in biomedical machine learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBFU2Q5Z1lwbzVxNGE5cTRlWTJFbGVTaW12VGZackY4UHhMQzNkXzE1N252a1QwTmlkM0dMUzdEZVRwSGlDUi1yQy1iRFVGRUNCT01udWtqT2ZrRmhjeXZn?oc=5" target="_blank">A benchmarking crisis in biomedical machine learning</a>  <font color="#6f6f6f">Nature</font>

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An open benchmark dataset for machine learning and intelligent trajectory optimization in fixed-wing unmanned aerial systems
Natureworld

An open benchmark dataset for machine learning and intelligent trajectory optimization in fixed-wing unmanned aerial systems

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE81NE55X3F5M21xNkRfSmd3UDdBamRrZjQ5LWlyWGdsX0J0b3lhdnk4QlE5OUVPYmFFMm1OYUlzSU9hazM4RDYwQzh5dUpadnZlZzVCYzhLa0c1XzhPZElv?oc=5" target="_blank">An open benchmark dataset for machine learning and intelligent trajectory optimization in fixed-wing unmanned aerial systems</a>  <font color="#6f6f6f">Nature</font>

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Scientific machine learning benchmarks
Naturegeneral

Scientific machine learning benchmarks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5aWmxGc0RXdkNDSjR3NjVsbjdiQ212eW5sWGg0d1VBdjNqTloycFNJeUZKZ25McEZjd2xQXzN3dG14Q1c4Nks1WlhobkhYdmY5YkZRTmVIRmlrYlpZbnBZ?oc=5" target="_blank">Scientific machine learning benchmarks</a>  <font color="#6f6f6f">Nature</font>

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A dataset of oracle characters for benchmarking machine learning algorithms | Scientific Data
Naturegeneral

A dataset of oracle characters for benchmarking machine learning algorithms | Scientific Data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ubksyVU1yc0hYN0VSTVQ0UHRDZmpFbDQydFFCZmQ2NDlqdE9vQXdHS3ViaGRydDhWWjJ2N0c3dWg3VkdHdVlYYWF3Sm0tR2FLcmdJdUFRellrVUdxTE53?oc=5" target="_blank">A dataset of oracle characters for benchmarking machine learning algorithms | Scientific Data</a>  <font color="#6f6f6f">Nature</font>

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Benchmarking framework for machine learning classification from fNIRS data
Frontiersgeneral

Benchmarking framework for machine learning classification from fNIRS data

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxOWjJTTDc2MVlQd3I5aFZ0dDJHTEU4OUMyYlBhdmRScGxZeHp0MkNiQXFCVG9nQ0o1TmdNZUhXZjFYclhXUHFVWWE4Z3gxYW1ZaFdNeTlYeWpVcnYxbkJFdzA4WmNCUGRjY1RFOXl6VEo3NTdfQkxNQUZUQ2NSc0dObGdVS0lLQmRySjdYWndtUmQ1YTdLRmc0?oc=5" target="_blank">Benchmarking framework for machine learning classification from fNIRS data</a>  <font color="#6f6f6f">Frontiers</font>

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How to Benchmark Classical Machine Learning Workloads on Google Cloud
Towards Data Sciencetech

How to Benchmark Classical Machine Learning Workloads on Google Cloud

<a href="https://news.google.com/rss/articles/CBMingFBVV95cUxOeGZHRUdpc3NVeG1kNUpZc1lHdmlybmJiMEo2OURRaE1EbHlQQnYyNXo4dGlueDJtYllQTVRYRzFaVUszX19sU3Q2SnQ3eE55VDdxaXl5bG9jYlYtZjlibnlWck4xT193ZEVBLWNNZFZzaXBsLW5lSEdGYjhrZWNJTHhEa2ZuTVMxcVRLVG1vNEdGaFBpSmw1dVRMcWFwQQ?oc=5" target="_blank">How to Benchmark Classical Machine Learning Workloads on Google Cloud</a>  <font color="#6f6f6f">Towards Data Science</font>

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Enhancing structure-based virtual screening of MDM2–p53 inhibitors: a benchmark of machine learning vs. traditional docking scoring functions
Frontiersworld

Enhancing structure-based virtual screening of MDM2–p53 inhibitors: a benchmark of machine learning vs. traditional docking scoring functions

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxPUU41Zi1ORHNZZnJQQXFjTkZqQ2xQaUNOM25NX2I2WjVjUzJNbWdSbEJfSVdLc0cwdzZPdzRnTGtfOUg5OC05NE9oN2lMc29RVGM2ZjFzdThNNVh0NTdUekFLYk1zYzBaaWl2SHI3X0NaN1kwME13a1hZWklDNEhlWnBWcVNyVHhJR3BnbEUxRzMyVkxqOU1Z?oc=5" target="_blank">Enhancing structure-based virtual screening of MDM2–p53 inhibitors: a benchmark of machine learning vs. traditional docking scoring functions</a>  <font color="#6f6f6f">Frontiers</font>

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Benchmarking deep learning models for predicting anticancer drug potency (IC
Naturegeneral

Benchmarking deep learning models for predicting anticancer drug potency (IC

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1Ed3BzMVVBclZhc2tveTFFbXVoM0xPejVOa1IxdUhzODVfRFVWQ2Y0TDVJY1p3aUpMbGRPU1B6VEo5clg2aEp6LW1GOFB6aGM5VzUzcEZzRS1Fa3gyOFNN?oc=5" target="_blank">Benchmarking deep learning models for predicting anticancer drug potency (IC</a>  <font color="#6f6f6f">Nature</font>

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Using machine learning to go beyond potential energy surface benchmarking for chemical reactivity
Naturegeneral

Using machine learning to go beyond potential energy surface benchmarking for chemical reactivity

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9Da2dNOF9uNloxQTR3V3NlNXJPSG5EejdGLWt4dUVOSkUwWFJoSFBzVjY0bnI5ekdZaTZVRmx1RlpxUXB2TF9UWDJhVWx2MzNrT3Z0b1pFWnFSYXpJY0pR?oc=5" target="_blank">Using machine learning to go beyond potential energy surface benchmarking for chemical reactivity</a>  <font color="#6f6f6f">Nature</font>

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Benchmarking machine learning robustness in Covid-19 genome sequence classification
Naturegeneral

Benchmarking machine learning robustness in Covid-19 genome sequence classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAyNTE4SWRPQTRXM25WYjVCbE92N1k1XzFySFdPMnJ5al94b29lZFZUeWlWeHBJcmY1ZzFWbG11alFXRmRYYVQxSmFlY1JBbG85OGVLYmMyajd2N1dNTE40?oc=5" target="_blank">Benchmarking machine learning robustness in Covid-19 genome sequence classification</a>  <font color="#6f6f6f">Nature</font>

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Benchmarking emergency department prediction models with machine learning and public electronic health records
Naturescience

Benchmarking emergency department prediction models with machine learning and public electronic health records

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9mQUVXR3JKWWJ4Z0xYaEd1cE1pWFNMakVvS3B6RlRPRjd0OVZvS212alVJM2pGbDFxUEhtb2ZtbWc0YlA3TC1STGdkUThzcExZNWVWNDZndGVzUUFYOGZN?oc=5" target="_blank">Benchmarking emergency department prediction models with machine learning and public electronic health records</a>  <font color="#6f6f6f">Nature</font>

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