One of the greatest things about the insurance industry is our ability to build high-quality relationships that last for decades. The downside of this will come in 2029, when the youngest of the ...

The NCAA is reshaping how college football players navigate the transfer process. Following Tuesday’s meeting, the Division I Administrative Committee approved a new structure that condenses the ...

Defining the steps involved in a successful technology transfer process would benefit biopharma, say the researchers behind a “generic” blueprint intended to help drug makers move more easily from ...

Abstract: Real-world transmission line inspections (RTLIs) ensure power stability and safety. Deep learning (DL) models have become prevalent approaches for performing RTLI tasks. However, the high ...

Knowledge Transfer, usually popular as KT, is the act of passing knowledge from one person or team to another. In software testing, it usually happens during transitions, like when someone leaves, a ...

Manufacturing is no stranger to automation. From robotic arms to predictive maintenance, the factory floor has been transformed. But there’s one area still heavily reliant on manual, human-driven ...

What if the most powerful artificial intelligence models could teach their smaller, more efficient counterparts everything they know—without sacrificing performance? This isn’t science fiction; it’s ...

New products and processes—such as critical mineral processing, alcohol-to-jet fuel, advanced plastic recycling and battery recycling—have the potential to drive new value through performance or cost ...

Figure 1: Example upstream cell-culture process to generate biopharmaceutical drug substance; STR SUB = Sartorius Biostat STR single-use bioreactor. A proliferation of biotechnology start-ups and ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the rising tendency of employing ...

Knowledge distillation, a crucial technique in artificial intelligence for transferring knowledge from large language models (LLMs) to smaller, resource-efficient ones, faces several significant ...