News

EurekAlert!1d
Are state-of-the-art deep learning traffic prediction models truly effective?
Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...
Electronics3602d
Simplifying Edge intelligence: Open-source AutoML for embedded devices now generally available
AutoML for Embedded is available now on Visual Studio Code Marketplace and GitHub.
InfoWorld6d
Orchestrating AI-driven data pipelines with Azure ADF and Databricks: An architectural evolution
Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...
Electronics Weekly5d
AI-based anomaly detection can enhance industrial efficiency
AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel ...
Essential Machine Learning Skills to Learn for Career Growth in 2025
Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...
CORNETO: Machine learning to decode complex omics data
EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...
Semiconductor Engineering2d
DL Compiler Framework For More Efficient Inter-Core Connected AI Chips (UIUC, Microsoft)
Exploring the Efficiency of Inter-Core Connected AI Chips with Deep Learning Compiler Techniques” was published by ...
MIT Technology Review5d
A major AI training data set contains millions of examples of personal data
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models.
Semiconductor Engineering1d
Largest High-Quality Verilog Dataset for LLM Fine-Tuning (Univ. of Florida)
The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation” was published by ...
Asharq Al-Awsat on MSN2d
KAUST Develops Deep Learning Tool for Pre-Pregnancy Human Embryo Evaluation
Asharq Al Awsat Researchers at King Abdullah University of Science and Technology (KAUST) have announced the development of a new deep learning tool, deepBlastoid, to study models of human embryo ...
Frontiers18h
Harnessing Machine Learning for Enhanced Biomedical Diagnosis and Early Disease Detection: Bridging Data Science and Healthcare
Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...