Reinforcement learning (RL) is a machine learning (ML) technique that trains the policy of the agent, who “must discover which actions yield the most reward by trying them (Sutton et al., 2018)” in a given situation. During trial-and-error iterations the agent evaluates the given feedback after each interaction, where the feedback can be a reward or a punishment, and then…
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Introduction In recent years, artificial environments such as virtual, augmented, and mixed reality have been investigated to see if these technologies can support the healthcare industry. Virtual reality (VR) is a completely computer-generated 3D environment, the user has no contact with the real world. Augmented reality (AR) is an environment that extends the real world…
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Introduction The number and variety of tools and services that leverage Artificial Intelligence (AI) capabilities that humans benefit from in their everyday lives have continuously accelerated in the past years. AI is present in different industries, however, in this article, I focus my evaluation on the advantages and disadvantages of applying AI for juridical decision-making…
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As hardware costs decrease and bandwidth increases, software produced today consumes a lot of electricity, as developers no longer need to worry about using resources efficiently, which increases carbon emissions dreadfully. According to Avanade, the amount of electricity usage and carbon emission of software and services of an enterprise “could be the equivalent of keeping…
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Introduction In the last few years, artificial intelligence (AI) has become more and more prevalent and powerful. Many speeches around AI nowadays explain how these technologies can be benefitted to predict stock prices and create value for an organization. In fact, even the online courses that are meant to educate newcomers in the field are…
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Microsoft made an amazing history in machine learning (ML) and artificial intelligence (AI). They proudly announced the preview of Reinforcement Learning (RL) on Azure Machine Learning at Build 2020. Microsoft applies ML to improve many of their products and services, such us for the suggestions made in Office services. So, what is reinforcement learning? Reinforcement…
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In the previous post you got an overview about interpretability, and the different explainers available in the Interpret-Text tool. In this post you will get an understanding of how to use one of the explainers: Introspective Rationale Explainer. To generate an outstanding text fragment of important features for training a classification model, Introspective Rationale Explainer uses…
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In the previous post you got an overview about interpretability, and the different explainers available in the Interpret-Text tool. In this post you will get an understanding of how to use one of the explainers: Unified Information Explainer. The Unified Information Explainer can be used when a unified and intelligible explanation is needed about the transformer,…
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In the previous post you got an overview about interpretability, and the different explainers available in the Interpret-Text tool. In this post you will get an understanding of how to use one of the explainers: Classical Text Explainer. The Classical Text Explainer is an interpretability technique used on classical machine learning models, and covers the…
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Introduction Artificial intelligence (AI) systems have a growing impact on people’s lives on an every-day-level, thus it is fundamental to protect people, understand models, and control ai systems. While machine learning (ML) services are constantly developing, Microsoft emphasizes the ethical principles that put people first, meaning that employees are working to ensure that AI develops…
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