If you explain something, you give details about it so that it can be understood. The head teacher should be able to explain the school's teaching policy. You say that you explain something to someone. Let me explain to you about Jackie. We explained everything to the police. Be Careful...
Back in the 1980s, computer scientists developed "connectionist" computer models that could mimic how the brain learns to recognize patterns, which became known asartificial neural networks(sometimes called ANNs). A few speech recognition scientists explored using neural networks, but the dominance and...
Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data Monotone Tree-Based GAMI Models by Adapting XGBoost Neural Graphical Models FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML The Quantitative Analysis of Explainable AI for Network Anomaly Dete...
That younger individuals perceive the world as moving slower than adults is a familiar phenomenon. Yet, it remains an open question why that is. Using event segmentation theory, electroencephalogram (EEG) beamforming and nonlinear causal relationship estimation using artificial neural network methods, we...
Avengers: Age of Ultron pits the titular heroes against a sentient artificial intelligence, and smart money says that it could soar at the box office to be the highest-grossing film of the introduction into the Marvel cinematic universe, it's possible, though Marvel Studios boss Kevin Feige tol...
{Purifying interaction effects with the functional anova: An efficient algorithm for recovering identifiable additive models}, author={Lengerich, Benjamin and Tan, Sarah and Chang, Chun-Hao and Hooker, Giles and Caruana, Rich}, booktitle={International Conference on Artificial Intelligence and ...
Deep neural networks (DNNs) models have the potential to provide new insights in the study of cognitive processes, such as human decision making, due to their high capacity and data-driven design. While these models may be able to go beyond theory-driven models in predicting human behaviour, ...
in any language. In practice, concatenation synthesizers now use huge libraries of sounds so they can say pretty much anything too. A more obvious difference is that concatenation synthesizers sound much more natural than formant ones, which still tend to sound relatively artificial and robotic.[2...
from_pretrained("bert-large-uncased-whole-word-masking-finetuned-squad") qa_explainer = QuestionAnsweringExplainer( model, tokenizer, ) context = """ In Artificial Intelligence and machine learning, Natural Language Processing relates to the usage of machines to process and understand human language...
This uncertainty leads to a lack of consensus about some of the topological properties of power networks36. The cluster with the most variation among its members belongs to the enzymes group. This shows that a network cannot be classified in the enzyme group as clearly as, for instance, Face...