OpenBox is a standalone python package as an open source for efficient generalized Block-Box optimization. It is designed to satisfy all aspect of generalized BBO.
Researchers at Northern Arizona University using GPUs to make a more precise assessment of sherds as compared to qualified archaeologists.
The rise of automation and the emergence of artificial intelligence in the field of decision making has been on the receiving end of severe critics in the last few years, where businesses and people have not been able to fully trust the technology it’s operating on. The key reason behind such mistrust is the AI’s […]
Due to the ambiguity in Deep Learning solutions, there has been a lot of talk about how to make explainability inclusive of an ML pipeline. Explainable AI refers to methods and techniques in the application of artificial intelligence technology (AI) such that the results of the solution can be understood by human experts. It contrasts […]
The privacy issues posed by the deployment of machine learning models are garnering a lot of attention nowadays. The data used to train the model is being exploited or has the potential to be exploited. It can be training of an NLP model using emails or training of a convolutional neural network using images. These […]
Whether it is the market crash or a wrong diagnosis, the after-effects will be certainly irreversible. Hence, tracking the development of machine learning algorithm throughout its life cycle becomes crucial. Neural network activations have an underlying compositional, combinatorial structure. Visualising the behaviour of neural networks has been of great interest lately for two reasons — […]
There are certain times when researchers and neural net builders fail to explain what’s going on behind the black box. For instance, deep neural networks, large ensemble models, among others have been achieving significant accuracies but these algorithms lack the explanation behind the decisions. Who doesn’t like to get a clear explanation of a complex […]
Researchers at the Simons Foundation have created a simulation of the universe that is both fast and accurate. The new artificial intelligence model used to run the simulation improves upon existing models in such a way that it can offer data on additional parameters even if it is not available in the training data. However, […]
Advancements in technologies over the years have created explosions in the field of artificial intelligence. Today in this modern computing era, AI is not only redefining jobs, but it’s redefining careers. AI has some other branches that many are not aware of (except the techies), and explainable AI is one of them. In this article, […]
Have you ever heard of a Black Box in an aeroplane — the most crucial part of an aeroplane. When a plane crash is suspected, a black box is one of the first things that investigators search for. The black box has two parts — the flight data recorder and the cockpit voice recorder. And […]
Neural networks, machine learning algorithms, and other subsets of AI are finding their way into several critical domains, which include healthcare, transportation, law, and more. And AI algorithms are affecting people’s lives in more ways than one, from credit scoring to loan disbursal to skewed image matching. With newer developments around the field, researchers are […]