We thought it would be helpful to put together a glossary with definitions of some of the most important words and phrases ...

Growing AI readership, proxied by expected machine downloads, motivates firms to prepare filings that are friendlier to machine parsing and processing. Firms avoid words that are perceived as negative ...

First-party fraud involves people using their own identity to misrepresent or give false information for personal or ...

Upgrading its anti-money-laundering controls is the Canadian bank's top priority following historic failures that led to a $3 ...

In this interview, we catch up with Jue Wang from Google DeepMind to learn more about computational protein design.

Due to the wide application prospects, transfer learning has become a popular and promising area in machine learning. Although there are already some valuable and impressive surveys on transfer ...

For the first time, researchers revived fully functional mouse brain tissue from cryopreservation. The secret sauce: ...

What is this book about? Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that ...

A recent study has mathematically clarified how the presence of crystals and gas bubbles in magma affects the propagation of ...

CAFC affirms that applying generic machine learning to industry-specific problems is not enough for patent eligibility under §101, reinforcing the importance of how innovations are framed in patent ...

The potential of skin-based diagnostics using UHPLC–IMS-HRMS to offer safe, cost-effective, and field-friendly solutions for ...

Explore key 2025 drone industry trends, from AI and delivery to inspections and regulation, and discover why the future of ...