Applied Artificial Intelligence for Business Leaders by Mariya Yao, Adelyn Zhou, and Marlene Jia is the book to get for anyone who wants to get a hand on how AI is shaping the business landscape today. Specifically, business owners who are interested in AI will find Applied Artificial Intelligence an excellent resource! It is a quick read and useful guide with densely packed information for business leaders looking to understand more about artificial intelligence for business, enterprise applications, and recommended implementation strategies. It helps the reader clarify a lot of AI terminology and clarify common errors with data and machine learning. It also comes highly recommended as an informative book suitable for both technical and non-technical business executives!

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The U.S. Centers for Disease Control and Prevention estimates that one in seven children in the United States experienced abuse or neglect in the past year. Child protective services agencies around the nation receive a high number of reports each year (about 4.4 million in 2019) of alleged neglect or abuse. With so many cases, some agencies are implementing machine learning models to help child welfare specialists screen cases and determine which to recommend for further investigation. But these models don't do any good if the humans they are intended to help don't understand or trust their outputs. Researchers at MIT and elsewhere launched a research project to identify and tackle machine learning usability challenges in child welfare screening.

Mathematical reasoning would be one of the next frontiers for artificial intelligence to make significant progress. The ongoing surge to solve math word problems (MWPs) and hence achieve better mathematical reasoning ability would continue to be a key line of research in the coming time. We inspect non-neural and neural methods to solve math word problems narrated in a natural language. We also highlight the ability of these methods to be generalizable, mathematically reasonable, interpretable, and explainable. Neural approaches dominate the current state of the art, and we survey them highlighting three strategies to MWP solving: (1) direct answer generation, (2) expression tree generation for inferring answers, and (3) template retrieval for answer computation. Moreover, we discuss technological approaches, review the evolution of intuitive design choices to solve MWPs, and examine them for mathematical reasoning ability. We finally identify several gaps that warrant the need for external knowledge and knowledge-infused learning, among several other opportunities in solving MWPs.

The Second Language Acquisition field has been significantly impacted by a greater emphasis on individualized learning and rapid developments in artificial intelligence (AI). Although increasingly adaptive language learning tools are being developed with the application of AI to the Computer Assisted Language Learning field, there have been concerns regarding insufficient information and teacher preparation. To effectively utilize these tools, teachers need an in-depth overview on recently developed AI-based language learning tools. Therefore, this review synthesized information on AI tools that were developed between 2017 and 2020. A majority of these tools utilized machine learning and natural language processing, and were used to identify errors, provide feedback, and assess language abilities. After using these tools, learners demonstrated gains in their language abilities and knowledge. This review concludes by presenting pedagogical implications and emerging themes in the future research of AI-based language learning tools.

We've been IT professionals for 15 years, trained over 2000 IT specialists, and taught Business and IT topics to about 2,500 students on various courses.

During this unique period of technology-driven transformation, the education sector has so far been slow to embrace the power of digital tools that can be used to accelerate learning. Institutions spend time, energy, and money protecting and defending conventional teaching methods while casting aside new, transformative ways in which we can adequately prepare young children and even adults for the ever-evolving world in front of us. While the stimulations of digital connectivity have certainly shortened the attention spans of the young and old alike, generating quite a challenge for educators in both K-12 and university-level teaching, there is actually something positive about this. Human beings have developed superhuman powers in multitasking and an insatiable desire to be in control and hands-on in what they seek out. A given smartphone user checking any one of our four or five screens for emails, messages, and notifications every few minutes is, in some ways, evidence of the ability for that person to use their brain exponentially.

Learn more about what comes next. Today 8i showed off its technology for quickly rendering volumetric video for real-time hologram images. The Venice, California-based company makes tools that capture, transform, and stream holograms using volumetric or 3D video. Historically, rendering volumetric video could take days, even weeks, to process a worthy asset. However, with 8i's advancement in machine learning and computer vision, this once arduous process can now be completed within milliseconds, enabling people to be broadcast live in 3D.