When Soldiers took to the field for Project Flytrap 4.5, they were not only testing emerging counter-unmanned aerial system ...

Following completion of the 2025 re-assay program, the Berg database contains 26,797 unique assay intervals, of which 22,138 samples, or 82.6%, now include gold and silver analyses. This represents a ...

The HOLiFOOD consortium is reimagining food safety risk assessment for the benefit of all stakeholders in the food chain ...

Understand the replacement chain method, a crucial capital budgeting tool for comparing projects with different life spans. Explore how it works, its requirements, and alternatives.

For investors, the U.S. government’s evolving approach significantly improves the risk-reward profile of domestic critical minerals projects. Direct federal support—through grants, low-cost financing, ...

Type Approval Certification from Three Major Classification Societies Positions VINSSEN for Scalable Hydrogen Propulsion ...

Several health systems are making major bets on new Epic EHR platforms and expect to see substantial returns, with leaders pointing to application consolidation, efficiency gains and reduced ...

Earlier this year, the Carnegie Classification of Institutions of Higher Education came out with a new classification, focused on colleges’ low-income student enrollments and whether their students ...

ELDORADO — Sol Systems hosted a ribbon cutting at the company’s largest project to date, the 342MW-dc Eldorado Solar project in southeast Illinois. It was built in partnership with Nextracker, the ...

Panelists discuss how current risk stratification systems, particularly the European Leukemia Net 2022 classification for intensive therapy and the 2024 classification for lower intensity treatments, ...

Nextracker CEO Dan Shugar (pictured) said the project was a “win-win” for US solar and agriculture. Image: Sol Systems US solar developer Sol Systems has completed construction on a 342MW PV project ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...