Artificial Intelligence Questions
Explore questions in the Artificial Intelligence category that you can ask Spark.E!
Weights and biases are examples of hyperparameters in a neural network.
The __ test is a widely used test to determine whether a computer exhibits intelligent behavior.
Deep learning systems _ solve complex problems with a data set that is diverse and __.
Convolutional neural networks can be used to create deepfakes ranging from image manipulation to news embellishments.
______ is the ability of information systems to work with text the way that humans do.
Experts consider misusing military robots, autonomous attack drones, tricking facing recognition systems, and data poisoning high concern AI-enabled crimes.
A hyperparameter in a neural network consists of software that has one or more weighted input connections, a bias function, and activation function, and one or more output connections.
Sephora Virtual Artist is the augmented reality tool that allows customers to try on thousands of makeup products.
Transferring domain expertise from human experts to the expert system can be difficult because humans cannot always explain how they know what they know.
Data shift is a machine learning bias that comes from a mismatch between the data used to train and test the system and the data the system actually encounters in the real world.
_____ is the practice of combining computer code from multiple contributors on a single software project.
H&R Block uses ____ to understand context, interpret client intent, and draw connections between client statements and relevant areas of their returns.
The activation rate in a neural network is how much the system is allowed to change the parameters after each training iteration.
If a computer can perform a useful and specific function that once required human intelligence to perform and does so at human levels or better, this is considered strong AI.
Experts are moderately concerned with data poisoning.
BlackSwan is an AI company whose product, Element, integrates _____ to address data acquisition, insight discovery, and predictions.
Machine learning is a subset of deep learning.
Fraud detection is an example of _____ classification.
Deep learning systems do not need to be exposed to labeled historical or training data.
Classification refers to a predictive modeling problem in which the system generates a class label for a given set of input data.