Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Many of the latest large language models (LLMs) are designed to remember details from past conversations or store user profiles, enabling these models to personalize responses. But researchers from ...

Researchers using the Frontier supercomputer at Oak Ridge National Laboratory have identified aerothermal flaws in jet engine turbine blades that conventional simulation methods could not detect. The ...

So much of our health is invisible even to ourselves, and one of the biggest barriers to better health is simply not knowing what's going on,' says Apple’s Steve Waydo, director for health sensing.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...

Advances in mechanistic modeling, machine learning, and biomedical data integration are making it possible to move beyond “one-size-fits-all” evidence and ...

Through its proprietary LTM, ‘NEXUS’, Fundamental reveals the hidden language of tables to unlock trillions of dollars in enterprise value, while a strategic partnership with AWS accelerates adoption ...

When millions click at once, auto-scaling won’t save you — smart systems survive with load shedding, isolation and lots of ...

GridGain donated the original Ignite code to The Apache Software Foundation (ASF) in 2014. GridGain is a Bronze Sponsor of the ASF, with several members of the GridGain team serving as active ...

src/ # Core system ├── monitoring/ # Resource collection ├── preprocessing/ # Data cleaning & feature engineering ├── anomaly_detection/ # ML model (Isolation Forest) ├── adaptive_engine/ # Decision ...