Abstract: This study explores applying advanced machine-learning strategies, particularly improved semantic vectors, to predict the severity of drug-drug interactions (DDIs), a crucial element in ...
If an attacker splits a malicious prompt into discrete chunks, some large language models (LLMs) will get lost in the details ...
Combining MCP, analytics-as-code, and LLMs to automate analytics execution at software speed SAN FRANCISCO, CALIFORNIA ...
Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.
For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
Semantic layers break silos and establishes a single source of truth, while greatly simplifying interaction with complex data ...
Abstract: This study explores how the hospital physical environment affects the hospital users experience. Through thematic analysis using LDA, and semantic network and sentiment analysis using ROST ...
The use of modern technologies, including Immersive Mixed Reality (IMR) technologies, to present information on climate change has become essential due to their ability to simplify information and ...
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