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Google says it classifies AI-generated content as 'spam'

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All the publishers and editors out there thinking of replacing their journalists with AI might want to pump their brakes. Everybody's boss, the Google algorithm, classifies AI-generated content as spam. John Mueller, Google's SEO authority, laid the issue to rest while speaking at a recent "Google Search Central SEO office-hours hangout." Per a report from Search Engine Journal's Matt Southern, Mueller says GPT-3 and other content generators are not considered quality content, no matter how convincingly human they are: These would, essentially, still fall into the category of automatically-generated content which is something we've had in the Webmaster Guidelines since almost the beginning. My suspicion is maybe the quality of content is a little bit better than the really old school tools, but for us it's still automatically-generated content, and that means for us it's still against the Webmaster Guidelines.


Nvidia delivers strong fourth-quarter results in wake of Arm deal collapse - SiliconANGLE

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Computer graphics chipmaker Nvidia Corp. reported strong fourth-quarter results today, beating expectations one week after its bid to acquire rival Arm Ltd. for $66 billion fell through. The company reported net income of $3 billion, or $1.18 a share, with earnings before certain costs such as stock compensation of $1.32 per share. Revenue for the quarter jumped 54% from a year ago, to $7.64 billion. That was better than expected, with analysts looking for earnings of just $1.23 per share on revenue of $7.42 billion. Nvidia founder and Chief Executive Jensen Huang (pictured) said the company was seeing "exceptional demand" for its computing platforms.


Scandit raises $150M to automate inventory scanning with computer vision

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Did you miss a session from GamesBeat's latest event? Inventory management is a growing challenge in retail and logistics, particularly as the pandemic places a strain on the supply chain. According to a 2018 survey by Coresight Research and Celect, inventory decisions -- including overbuying, buying the wrong type of products, and misallocating inventory -- account for an estimated 53% of unplanned markdown costs for retailers. Similarly, a Stitch Labs survey of warehouse operators found that human error was the top cause of inventory fulfillment issues for a majority of the respondents. Some problems stem from the barcode- and label-based systems that companies use to keep track of products, which can be susceptible to incorrect data, poor print quality, and other inconsistencies. Automation technologies have been proposed as a solution in light of the growing trend toward digitization in logistics.


Diablo 4: everything we know so far

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Publisher Activision Blizzard, responsible for the game this article refers to, is currently embroiled in ongoing litigation in regards to claims reporting a workplace culture that allegedly enabled acts of sexual harassment, abuse and discrimination. Diablo 4 is currently in development but it looks like its release is still a long way off. That hasn't stopped us from searching out the best rumors and the latest news about Blizzard's upcoming hack'n slash adventure. The Diablo series certainly is undergoing something of a resurgence right now. First announced at Blizzcon 2019, Diablo 4 development has supposedly been progressing since. Diablo 2 Resurrected, a remaster of the PC classic, has already been released and Diablo Immortal is expected to arrive on Android and iOS devices in 2022. Naturally, though, we're most excited about the release of Diablo 4 and thanks to Blizzard's quarterly development updates, we're learning more about it all the time. With the recent announcement that Microsoft has agreed to acquire Activision Blizzard, the landscape around Diablo 4's development is changing and it currently remains unclear what the acquisition could mean for the game if it goes through, especially as Diablo 4's release is so far down the line--we're not expecting it until at least 2023. While we wait, though, here's all the news, updates and rumors we've collated about Diablo 4 so far. What could this mean for Diablo 4's release? Read on to find out more.] Bad news here: Diablo 4 probably won't be released anytime soon. At a Blizzcon 2019 deep dive on the game, the game's director said that he doesn't expect the game to be finished anytime soon, "even by Blizzard's standards of soon." Fast-forward to the end of 2021, and that comment still stands after the announcement of an indefinite delay. During Activision Blizzard's Q3 earnings call in November 2021, it made the following statement: "While we are still planning to deliver a substantial amount of content from Blizzard next year, we are now planning for a later launch for Overwatch 2 and Diablo IV than originally envisaged".


Top 20 Digital Transformation Pros you NEED To Follow - The AI Journal

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Digital Transformation moved at a relatively slow pace for the past ten years, mainly focusing on improving products, employee experience and processes. But then, after COVID – 19 hit, IT decision-makers were forced to prioritize their IT initiatives in order to increase digital investments. According to IDC, over the next four years, worldwide Digital Transformation technology investment is set to reach at least $7.4 trillion and will be the first time that DX will account for the majority of IT spending – predicted to be a huge 53% of budgets. Digital transformation is a set of methodologies and tools which are used by modern companies to optimize their operational activities, such as increasing their reach power, providing differentiated service and increasing performance. However, digital transformation is not just a new department in the firm, but it is definitely a game-changer in technology's role in the corporate environment. That's why it is increasingly being seen as the 4th Industrial Revolution. "Think of digital transformation less as a technology project to be finished than as a state of perpetual agility, always ready to evolve for whatever customers want next, and you'll be pointed down the right path."-


Design's new frontier

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In the 1960s, the advent of computer-aided design (CAD) sparked a revolution in design. For his PhD thesis in 1963, MIT Professor Ivan Sutherland developed Sketchpad, a game-changing software program that enabled users to draw, move, and resize shapes on a computer. Over the course of the next few decades, CAD software reshaped how everything from consumer products to buildings and airplanes were designed. "CAD was part of the first wave in computing in design. The ability of researchers and practitioners to represent and model designs using computers was a major breakthrough and still is one of the biggest outcomes of design research, in my opinion," says Maria Yang, Gail E. Kendall Professor and director of MIT's Ideation Lab.


Study warns of compliance costs for regulating Artificial Intelligence

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The EU's forthcoming regulation on Artificial Intelligence could cost the bloc's economy up to €31 billion over the next 5 years and cause investments to shrink by as much as 20%, according to a study published on Monday (26 July). The assessment by the Centre for Data Innovation looked into the administrative costs of the Artificial Intelligence Act (AIA), a horizontal EU regulation to introduce increasing obligations based on the level of risk associated with the application of the groundbreaking technology. The study author stresses the administrative burden the new legislation is expected to create, which they say will disincentivise innovation and technology uptake. "The Commission has repeatedly asserted that the draft AI legislation will support growth and innovation in Europe's digital economy, but a realistic economic analysis suggests that argument is disingenuous at best," said senior policy analyst and report author Ben Mueller. That goal would require roughly 10 times the level of current investment in the technology, yet the study author says compliance costs would eat up just under 20% of those investments.


Google's John Mueller Doesn't See SEO Becoming Obsolete

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Google's John Mueller shares his thoughts on the future of SEO and whether he sees it becoming obsolete one day. During the Google Search Central SEO hangout recorded on July 2, a question was submitted which simply asks: "What's your vision for the future of SEO?" This put Mueller on the spot as he admits he doesn't have that perfect elevator speech on the future of SEO. He addresses a common concern shared by those within the SEO industry, which is that machine learning will get so advanced Google will understand websites without any additional optimization. If Google's machine learning algorithms could understand everything about websites on their own, there would be no need for SEO.


How Knowledge Graphs Will Transform Data Management And Business

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In late November the U.S. Federal Drug Administration approved Benevolent AI's recommended arthritis drug Baricitnib as a COVID-19 treatment, just nine-months after the hypothesis was developed. The correlation between the properties of this existing Eli Lilly drug and a potential treatment for seriously ill COVID-19 patients, was made with the help of knowledge graphs, which represent data in context, in a manner that humans and machines can readily understand. Knowledge graphs apply semantics to give context and relationships to data, providing a framework for data integration, unification, analytics and sharing. Think of them as a flexible means of discovering facts and relationships between people, processes, applications and data, in ways that give companies new insights into their businesses, create new services and improve R&D research. Benevolent AI, a six-year-old London-based company which has developed a platform of computational and experimental technologies and processes that can draw on vast quantities of biomedical data to advance drug development, built-in the use of knowledge graphs from day one.


Principles of Explanation in Human-AI Systems

arXiv.org Artificial Intelligence

Explainable Artificial Intelligence (XAI) has re-emerged in response to the development of modern AI and ML systems. These systems are complex and sometimes biased, but they nevertheless make decisions that impact our lives. XAI systems are frequently algorithm-focused; starting and ending with an algorithm that implements a basic untested idea about explainability. These systems are often not tested to determine whether the algorithm helps users accomplish any goals, and so their explainability remains unproven. We propose an alternative: to start with human-focused principles for the design, testing, and implementation of XAI systems, and implement algorithms to serve that purpose. In this paper, we review some of the basic concepts that have been used for user-centered XAI systems over the past 40 years of research. Based on these, we describe the "Self-Explanation Scorecard", which can help developers understand how they can empower users by enabling self-explanation. Finally, we present a set of empirically-grounded, user-centered design principles that may guide developers to create successful explainable systems.