Collaborating Authors


Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence Artificial Intelligence

AI - Artificial Intelligence AGI - Artificial General Intelligence ANN - Artificial Neural Network ANOVA - Analysis of Variance ANT - Actor Network Theory API - Application Programming Interface APX - Amsterdam Power Exchange AVE - Average Variance Extracted BU - Business Unit CART - Classification and Regression Tree CBMV - Crowd-based Business Model Validation CR - Composite Reliability CT - Computed Tomography CVC - Corporate Venture Capital DR - Design Requirement DP - Design Principle DSR - Design Science Research DSS - Decision Support System EEX - European Energy Exchange FsQCA - Fuzzy-Set Qualitative Comparative Analysis GUI - Graphical User Interface HI-DSS - Hybrid Intelligence Decision Support System HIT - Human Intelligence Task IoT - Internet of Things IS - Information System IT - Information Technology MCC - Matthews Correlation Coefficient ML - Machine Learning OCT - Opportunity Creation Theory OGEMA 2.0 - Open Gateway Energy Management 2.0 OS - Operating System R&D - Research & Development RE - Renewable Energies RQ - Research Question SVM - Support Vector Machine SSD - Solid-State Drive SDK - Software Development Kit TCP/IP - Transmission Control Protocol/Internet Protocol TCT - Transaction Cost Theory UI - User Interface VaR - Value at Risk VC - Venture Capital VPP - Virtual Power Plant Chapter I

The AI Index 2021 Annual Report Artificial Intelligence

Welcome to the fourth edition of the AI Index Report. This year we significantly expanded the amount of data available in the report, worked with a broader set of external organizations to calibrate our data, and deepened our connections with the Stanford Institute for Human-Centered Artificial Intelligence (HAI). The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. Its mission is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI. The report aims to be the most credible and authoritative source for data and insights about AI in the world.

AI Research Considerations for Human Existential Safety (ARCHES) Artificial Intelligence

Framed in positive terms, this report examines how technical AI research might be steered in a manner that is more attentive to humanity's long-term prospects for survival as a species. In negative terms, we ask what existential risks humanity might face from AI development in the next century, and by what principles contemporary technical research might be directed to address those risks. A key property of hypothetical AI technologies is introduced, called \emph{prepotence}, which is useful for delineating a variety of potential existential risks from artificial intelligence, even as AI paradigms might shift. A set of \auxref{dirtot} contemporary research \directions are then examined for their potential benefit to existential safety. Each research direction is explained with a scenario-driven motivation, and examples of existing work from which to build. The research directions present their own risks and benefits to society that could occur at various scales of impact, and in particular are not guaranteed to benefit existential safety if major developments in them are deployed without adequate forethought and oversight. As such, each direction is accompanied by a consideration of potentially negative side effects.

The 84 biggest flops, fails, and dead dreams of the decade in tech


The world never changes quite the way you expect. But at The Verge, we've had a front-row seat while technology has permeated every aspect of our lives over the past decade. Some of the resulting moments -- and gadgets -- arguably defined the decade and the world we live in now. But others we ate up with popcorn in hand, marveling at just how incredibly hard they flopped. This is the decade we learned that crowdfunded gadgets can be utter disasters, even if they don't outright steal your hard-earned cash. It's the decade of wearables, tablets, drones and burning batteries, and of ridiculous valuations for companies that were really good at hiding how little they actually had to offer. Here are 84 things that died hard, often hilariously, to bring us where we are today. Everyone was confused by Google's Nexus Q when it debuted in 2012, including The Verge -- which is probably why the bowling ball of a media streamer crashed and burned before it even came to market.

Top 10 Real-World Artificial Intelligence Applications - DZone AI


Just the mention of AI and the brain invokes pictures of Terminator machines destroying the world. Thankfully, the present picture is significantly more positive. So, let's explore how AI is helping our planet and at last benefiting humankind. In this blog on Artificial Intelligence applications, I'll be discussing how AI has impacted various fields like healthcare, finance, agriculture, and so on. Marketing is a way to sugar coat your products to attract more customers.

When the Music Stops: AI and Deflation


Artificial Intelligence is rewriting the rules of economics, but is also bounded by that same economics. This is a long article, even by my standards. It represents my thinking about the implications of artificial intelligence on the economy, beyond the normal cheerleading that seems to so frequently accompany discussion of topic. Feel free to respond to me at Artificial intelligence, the use of computer processes to infer and make decisions on information about the world that is not necessarily explicitly given, has been a hallmark of much of this decade. From word processors that went from simple spell check to office suites that now have a significant hand in the production process, from cruise control to self-driving vehicles, from halting speech recognition software to fully integrated video/audio concept recognition, AI and its related technologies have quietly but perhaps irrevocably changed our relationship with computers far more than most people realize. Yet as the information revolution continues, the impacts that it is having upon our economy are now reaching an extent where most of the models that economists have formulated about how that economy works are being thrown out. We're in terra incognita at this stage, and this, in turn, is forcing politicians, policy makers, economists, business leaders and everyday people to rethink many of the fundamental assumptions on which we base our notions of work, value and utility.

How Investors Use Artificial Intelligence in the Stock Market -


In episode 3 of Tech Lightning Rounds, Beth Kindig goes directly to the source of artificial intelligence expertise and hosts discussions with technologists who specialize in the field. Interviews are held in "lightning round" format, which are rapid interviews with tech experts for immediate depth on each topic. Artificial intelligence makes it possible for machines to learn from experience. To adjust for superior intelligence, the machines are trained as more data is analyzed. Highly publicized uses for AI include chess matches or self-driving cars.

Google top search trends 2018: From Black Panther to bitcoin to Stormy Daniels

The Independent - Tech

Google has revealed what people in the UK have been searching for in 2018, with the publication of its annual'Year in Search' results. Meghan Markle, who topped the list last year, was knocked off her perch by the World Cup but still managed to be the second-most searched term in 2018. Her marriage to Prince Harry, together with the wedding of Princess Eugenie and Jack Brooksbank, helped'Royal Wedding' reach third on the overall list. Several other celebrities like Stormy Daniels and Ant McPartlin also appeared on the lists, which covered a wide range of categories including top trending'How to...?' and'What is...?' queries. Privacy scandals helped'How to delete Facebook?' become one of the most-asked questions using Google, while the dramatic rise and fall in cryptocurrency prices helped drive searches for'What is bitcoin?'.

Is artificial intelligence the next bitcoin?


Today the new fuss in the technology world is about artificial intelligence and how it will change the world, and the wealth management business. First let's clear up some of the confusion around nomenclature. Artificial intelligence is the concept that machines think and process new ideas by themselves, like the sentient computer Hal in the movie "2001: A Space Odyssey." Machine learning is the process by which machines are coded to adapt their programming based on new data and data analytics; think self-driving cars and Google's targeted "smart" ads that intuit what you might be interested in based on the sites you've visited. While we are still quite far from AI and a machine making up its own mind, we can't ignore the impact that smart programs powered by machine learning are making on the world.

What Happens if AI Doesn't Live Up to the Hype?


Artificial intelligence is having a moment in London. Last week, to coincide with London Tech Week, an annual showcase of the city's digital prowess, London hosted CogX, a 6,000-person-strong event that bills itself as the "Festival of All Things AI," and the AI Summit London, which lays claim to the mantle of "the world's largest AI event for business." The events have non-stop panels, parties, and big-name sponsors like SoftBank, Accenture, IBM and Google. Underpinning much of the buzz over artificial intelligence in London and elsewhere is the implicit premise that AI is the transformative technology of the moment, or maybe of the decade, or even of the century or, well, just about ever. Promises like the AI Summit's claim that the technology goes "beyond the hype" to "deliver real value in business" only drives the corporate feeding frenzy among executives desperate not to be left behind.