Finally, the organizations that implement quantum-inspired techniques will have a headstart on quantum computing as the ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

The tech tool has been subject to criticism and controversy since being launched by the department five years ago.

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

The deal keeps the app available for more than 200 million U.S. users under new data, algorithm, and content safeguards.

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...

The idea of these so-called perception-driven systems is to interpret raw sensor data and convert it into actionable understanding. So, they capture the images as traditional machine vision would, but ...

Sai Vamsi Gummadi's AI fraud detection platform processes millions of transactions with Spark/Kafka/XGBoost—75% fewer false ...