The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Rubrics are one of the most useful assessment tools a teacher can have. A well-designed rubric tells students exactly what ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Public debate about artificial intelligence in higher education has largely orbited a familiar worry: cheating. Will students ...

In practice, the choice between small modular models and guardrail LLMs quickly becomes an operating model decision.

By integrating work experiences into learning, transitioning from treating data as "exhaust" to "oxygen," and taming digital sprawl, higher education ...

Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in early-stage personalization teams is trying to rank every item in the catalog in ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...