In today's data-driven world, data literacy is becoming a crucial skill across all industries. Employers are increasingly ...

Frequent flares in atopic dermatitis predict future disease severity, highlighting the need for improved treatment strategies, as found in a new study published in JAMA Dermatology.

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

These steps often stall machine learning projects between experimentation and production because of a lack of engineering resources or the complexity of debugging pipelines.

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

Inconsistent Supplier Lead Times: a 52x increase in lead times from some suppliers led to unreliable inventory planning. Manual Processes: Traditional forecasting methods were reactive and ...

In the rapidly evolving field of drug discovery, high-throughput screening (HTS) is essential for identifying bioactive compounds. This study introduces a novel application of data valuation, a ...

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

They can identify mislabeled data, filter out high-quality data, upweight helpful examples, and select promising new data points for active learning. Researchers from Stanford University have ...