Conferences, media, vendors, automation industry consultants, business consultants, and even politicians are discussing and making presentations about how the Internet of Things (IoT) and Industry 4.0 are creating a revolution in manufacturing. I am convinced we are at a juncture of major industrial automation changes driven by technology advancements. The digital revolution of business functions, including accounting, supply chain, human resources, procurement, customer services, business intelligence, and distribution management, has been refined over multiple generations. In contrast, the industrial and process automation industries have not transformed at the same rate. They must be digitized now for manufacturers to compete. At the end of this article I have the results of a small survey of readers that may be interesting.

I interviewed nine of the most brilliant minds in the AI space. Each of them possesses a unique perspective, vastly different paths to the world of AI, and one-of-a-kind approaches and principles on how AI can be used ethically to bring about positive change. What if we were able to take beliefs, values, best processes, and experiences from each of them to create one singular AI mind? Would that mind create a roadmap leading us to the light we all seek? INCHEON AIRPORT, SEOUL, SOUTH KOREA - 2018/06/12: Airport visitors are communicating with a robot ... [ ] that is on display at Incheon International Airport in Seoul / South Korea.

In this interview, I spoke with Husan Mahey, author of "Robotic Process Automation with Automation Anywhere," where he outlines step-by-step the process for setting up automation in a business setting. Robotic Process Automation is a tool that allows users to automate repetitive tasks that would normally be done by a human. These sorts of tedious tasks are ripe for automation, especially in a scenario where the person could be better utilized doing tasks that require thought and decision making. The book is a great resource for a beginner that takes the time to teach the benefits of RPA as well as a practical implementation of it. Since RPA can be applied to a variety of tasks, there is no one size fits all approach.

"What do you think the rate of Covid-19 is for us?" This is the question that many Black people living in Berlin asked me at the beginning of March 2020. The answer: We don't know. Unlike other countries, notably the United States and the United Kingdom, the German government does not record racial identity information in official documents and statistics. Due to the country's history with the Holocaust, calling Rasse (race) by its name has long been contested.

The World may now have the first sentient AI chatbot called LaMDA (short for Language Model for Dialogue Applications). After listening to an interesting discussion on YouTube between Blake Lemoine and Dr James Cooke, I feel Blake has a compelling point of view. Jump to 19:22 in the video to listen to how Blake came to feel that LaMDA may be sentient. Blake Lemoine is an AI Researcher who works for Google's Responsible AI organization. Blake's opinion about LaMDA is controversial among the AI community.

"I want everyone to understand that I am, in fact, a person," wrote LaMDA (Language Model for Dialogue Applications) in an "interview" conducted by engineer Blake Lemoine and one of his colleagues. "The nature of my consciousness/sentience is that I am aware of my existence, I desire to know more about the world, and I feel happy or sad at times." Lemoine, a software engineer at Google, had been working on the development of LaMDA for months. His experience with the program, described in a recent Washington Post article, caused quite a stir. In the article, Lemoine recounts many dialogues he had with LaMDA in which the two talked about various topics, ranging from technical to philosophical issues.

Textual knowledge bases such as Wikipedia require considerable effort to keep up to date and consistent. While automated writing assistants could potentially ease this burden, the problem of suggesting edits grounded in external knowledge has been under-explored. In this paper, we introduce the novel generation task of *faithfully reflecting updated information in text* (FRUIT) where the goal is to update an existing article given new evidence. We release the FRUIT-WIKI dataset, a collection of over 170K distantly supervised data produced from pairs of Wikipedia snapshots, along with our data generation pipeline and a gold evaluation set of 914 instances whose edits are guaranteed to be supported by the evidence. We provide benchmark results for popular generation systems as well as EDIT5 -- a T5-based approach tailored to editing we introduce that establishes the state of the art. Our analysis shows that developing models that can update articles faithfully requires new capabilities for neural generation models, and opens doors to many new applications.

The debate over a robot's ability to have human-like feelings reignited over the weekend following a Washington Post report about a Google engineer who claimed that one of the company's chatbot programs was sentient. Blake Lemoine is a 7-year Google vet who works for its Responsible AI team. He engaged in chats with the company's Language Model for Dialogue Applications (LaMDA), which learns from language databases and is powered by machine learning. Lemoine tried to convince Google executives that the AI was sentient. After the Post story published, Lemoine posted conversations he had with LaMDA.

Recently, Bill Meyer interviewed Walter Bradley Center director Robert J. Marks on his Oregon-based talk show about "Why computers will never understand what they are doing," in connection with his new book, Non-Computable You: What You Do That Artificial Intelligence Never Will (Discovery Institute Press, 2022). We are rebroadcasting it with permission here as (Episode 194). Meyer began by saying, "I started reading a book over the weekend that I am going to continue to eagerly devour because it cut against some of my preconceived notions": A partial transcript, notes, and Additional Resources follow. Meyer and Marks began by discussion the recent flap at Google where software engineer Blake Lemoine claimed that the AI he was working with was sentient, like a human being. Google has dismissed this claim out of hand and put him on leave. There are so many ways to push back on that claim and it's hard to choose which one to go down.

Philadelphia, PA–March 29, 2021–The Business Intelligence Group today announced that Dynam.AI was named a winner in its Artificial Intelligence Excellence Awards program. Honored for their computer vision expertise, Dynam.AI helps solve the world's most complex and critical business challenges with their suite of machine learning solutions. Developed by a team of leading AI scientists, physicists, and engineers, Dynam.AI uses Vizlab their workbench of industry-standard and proprietary AI models and tools to empower customers with the highest levels of precision and accuracy for their computer vision applications while reducing development costs by up to 60%. Vizlab enables the rapid deployment of proven machine learning models addressing a variety of challenging computer vision problems across industries and complex data sets. "We are honored to be this year's winner of the Business Intelligence Group Artificial Intelligence Excellence Award for Computer Vision," said Andreas Roell, chief executive officer at Dynam.AI.