Accurate crop classification, crucial for a macro-level understanding of food production, formulating relevant agricultural policies, and predicting comprehensive agricultural productivity, enables ...
In the age of AI, business leaders must be fluent in technology and human values. Distinguish between decisions augmented by algorithms and those requiring human judgment. Ethical responsibilities of ...
Use it to promote divergent thinking. by Tojin T. Eapen, Daniel J. Finkenstadt, Josh Folk and Lokesh Venkataswamy There is tremendous apprehension about the potential of generative AI—technologies ...
This repository contains the code accompanying the research paper "Emotion estimation from video footage with LSTM" by Samer Attrah. The project focuses on developing and evaluating an LSTM-based ...
ABSTRACT: In this paper we compare track data association purity, accuracy, and timing on a simple, idealized model tracking problem for two data association methods: Global Nearest Neighbor (GNN) and ...
Copyright: © 2024 The Author(s). Published by Elsevier Ltd. Artificial Intelligence (AI), through deep learning, has brought automation and predictive capabilities ...
AI has become commonplace in our daily lives. Now, AI can read organized and unstructured data, figure out what is wrong, and solve problems, sometimes without being told to do so. Artificial ...
Natural language processing (NLP)–based algorithms applied to clinical text in oncologist notes and radiology reports can extract structured data elements (Table 6) that can be used to identify ...
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