Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Why Data Matters for AI Poor data quality and fragmented identity undermine predictive performance. TransUnion’s identity graph and enrichment capabilities provide the single source of truth AI ...

In just three months, Phlow and Enveda generated and analyzed nearly 20,000 unique reactions, creating one of the largest high-quality datasets of its kind. The resulting uniform dataset is ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

AI drug discovery startup Converge Bio raised $25 million in a Series A led by Bessemer Venture Partners, with additional ...

Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...

The partnership extension builds on a successful collaboration focused on helping operators move beyond traditional CRM and rule-based decisioning Extending our partnership with SCCG is a natural next ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...