The speaker told the audience that although computers can do many impressive things, they will never achieve artificial intelligence.

Machine learning models that input or output data sequences are known as sequence models.

Know how Google AI leverages artificial intelligence to protect and help the global community.

Explainability of black-box machine learning models is crucial, in particular when deployed in critical applications such as medicine or autonomous cars. Existing approaches produce explanations for the predictions of models, however, how to assess the quality and reliability of such explanations remains an open question. In this paper we take a step further in order to provide the practitioner with tools to judge the trustworthiness of an explanation. To this end, we produce estimates of the uncertainty of a given explanation by measuring the ordinal consensus amongst a set of diverse bootstrapped surrogate explainers. While we encourage diversity by using ensemble techniques, we propose and analyse metrics to aggregate the information contained within the set of explainers through a rating scheme. We empirically illustrate the properties of this approach through experiments on state-of-the-art Convolutional Neural Network ensembles. Furthermore, through tailored visualisations, we show specific examples of situations where uncertainty estimates offer concrete actionable insights to the user beyond those arising from standard surrogate explainers.

The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") This article describes how to fine-tune a pretrained Transformer Architecture model for natural language processing. More specifically, this article explains how to fine-tune a condensed version of a pretrained BERT model to create binary classifier for a subset of the IMDB movie review dataset. The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") You can think of a pretrained transformer architecture (TA) model as sort of an English language expert.

Only 19% of Argentine companies are using artificial intelligence (AI), but the figure is set to rise, as 60% of companies are exploring its use, …

In this blog we will explore how Machine Learning and AI can be used in one of the most popular forms of art - music. We will explore some of the most recent AI music projects and see how it has evolved and compares to music made by humans.

Mumbai: Cash is no more the king, but digital revolution needs to be supported by a regulatory infrastructure, says a study. India economy has undergone significant formalisation in last 5 years. Latest currency in circulation data reveals that it has remained constant over the previous year even as record purchases happened during Diwali at Rs1.25 lakh crores, says an internal research report by SBI economists. This happened for the first time since 2014. Indian consumers have now migrated big time to better technology platform like UPI that does not require the intervention of a POS machine and factor authentications: UPI transactions have jumped 70 times in last 4 years.

The AI and machine learning industries are booming like never before. As of 2021, the increase in AI usage across businesses will create US$2.9 trillion in business value. AI has automated many industries across the globe and changed the way they operate. Most large companies incorporate AI to maximize productivity in their workflow, and industries like marketing and healthcare have undergone a paradigm shift due to the consolidation of AI. Time-series forecasting is a machine learning technique used very often in the industry.

Omnia's Trustworthy AI Module, Deloitte's unique artificial intelligence evaluation technology, has been recognized as'Digital Innovation of the Year' at the Digital Accountancy Forum and Awards 2021 in London earlier this week. This marks the second consecutive year Deloitte has garnered top honors for delivering innovative and disruptive technologies by The Accountant and International Accounting Bulletin. It also marks the fourth time Deloitte has won the award overall. Omnia DNAV, a digital cloud-based solution that revolutionizes the audit of securities and investments, was honored with the award in 2020. Deloitte won the 2018 'Audit Innovation of the Year' for its audit-transforming Cortex data platform and in 2015 for functionality using artificial intelligence that quickly identifies, extracts, and analyzes information across an entire population of documents.