Collaborating Authors


An AI that lets cars communicate might reduce traffic jams


Did you know there's a specific term for the times when you encounter sudden, inexplicable vehicle congestion on the interstate despite no discernible culprit such as rubbernecking or an accident? It's called a "phantom traffic jam," and was first identified around 12 years ago by researchers in Japan conducting a simple experiment. Despite telling 20 human drivers to all drive at a constant speed around a circular track, even the briefest instances of individuals' pressing their brake pedals compounded on one another, resulting in those recognizable traffic fits and starts. This automotive variation on the "butterfly effect" has been carefully studied ever since, and a research group is now approaching the finish line on a potential solution devoid of any sort of half-baked "self-driving" system. As Associated Press recounts, a recent experiment has shown instances of phantom traffic jams can be reduced by linking cars' into a single communication network via utilizing newer vehicles' adaptive cruise control systems.

American Airlines may end a real customer advantage for a sad, twisted reason


It's easy to think all US airlines are the same. Well, so similar that sometimes it doesn't make that much difference which one you fly. Yet each has small pockets of difference that -- given four of them own more than 80% of all airline seats -- can truly stand out. You're still allowed to dream.) It flies to a lot of places and sometimes gets you there on time. But there's one little quirk that, for many customers, is a true positive with American -- the ability to hold a fare for 24 hours without actually paying for it.

How Artificial Intelligence Is Influencing the Future of Work in the Airline Industry


Commercial airlines and other travel and transportation leaders are facing significant challenges in managing pricing, demand, and logistics in today's volatile environment. This summer's travel disruptions have laid bare the potential for intermittent hiccups in post-pandemic operations to have drastic effects on customer satisfaction and revenue opportunities. With travelers' patience wearing thin, airlines need to reinforce their people, processes, and technologies. By building artificial intelligence (AI) solutions into processes across their organizations, airlines can leverage their data, analysts, and revenue management opportunities to take advantage of new business fundamentals in this changing environment. "Artificial intelligence isn't replacing the airline data analyst's job," said Alex Mans, founder and CEO of FLYR Labs, a technology company driving commercial optimization for airlines.

This Startup Is Making Artificial Intelligence A 'common Sense' Like Humans


However, one of the main obstacles to overcome is common sense, which this technology lacks. This is something that David Ferrucci, the leader of the team responsible for ibm watson computer and who serve as executive directors of today Elemental Cognition, a startup that seeks to address the shortcomings of AI. "For me, the Watson Project was always just a small part of a bigger story about where we want to go with AI," he says in the statement. Now, its main purpose is to become humanity's "thinking companion", capable of suggesting and explaining. The system in which E is conservedMental Cognition combines the latest advances in machine learning with software modeled after human reasoning. New programs can recognize patterns and make predictions, sifting through vast amounts of data at breakneck speed to generate the most likely interpretations.



The graph represents a network of 7,377 Twitter users whose tweets in the requested range contained "chatbot", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 01 July 2022 at 13:01 UTC. The requested start date was Friday, 01 July 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 7-day, 8-hour, 36-minute period from Thursday, 23 June 2022 at 15:20 UTC to Thursday, 30 June 2022 at 23:57 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

Data Science & Artificial Intelligence Demand in Indonesia


Indonesia is a country with enormous economic potential, which has not gone unnoticed by the international community. Indonesia, the largest economy in Southeast Asia, possesses a variety of qualities that position the country well for advanced economic development. Furthermore, the central government has recently shown significant support for reducing Indonesia's historic reliance on (raw) commodity exports while increasing the importance of the manufacturing industry in the economy. Looking ahead, Indonesia's information and communication technology (ICT) sector have a promising future, since the country is only getting started with IT solutions adoption, leaving plenty of space for expansion. Much of Indonesia's potential has yet to be realised, making the country one of the most promising ICT markets in the future years.

The Accuracy of Airfare Predictions Is Up in the Air


Flying has always been a pain: the endless security lines, the hip-checking other passengers to make sure there's overhead room for your rolly bag, the squeezing into a seat, the ear-popping, the spotty internet, the boredom. But these days, the irritation begins much earlier, when passengers start to look for tickets. The average round-trip ticket price in the US was $408 this week, up $100 from the same time in 2019, according to the airfare sales app Hopper. Part of that is pent-up demand from people sick of their homes after a still-not-over pandemic. Another is high fuel prices, spurred upward by the war in Ukraine.

Commentary: With A.I., business must choose safety over speed


Hong Kong banned international flights with little notice. Residents are stranded overseas and spending huge sums on'washouts' to get home

Conversational Agents: Theory and Applications Artificial Intelligence

In this chapter, we provide a review of conversational agents (CAs), discussing chatbots, intended for casual conversation with a user, as well as task-oriented agents that generally engage in discussions intended to reach one or several specific goals, often (but not always) within a specific domain. We also consider the concept of embodied conversational agents, briefly reviewing aspects such as character animation and speech processing. The many different approaches for representing dialogue in CAs are discussed in some detail, along with methods for evaluating such agents, emphasizing the important topics of accountability and interpretability. A brief historical overview is given, followed by an extensive overview of various applications, especially in the fields of health and education. We end the chapter by discussing benefits and potential risks regarding the societal impact of current and future CA technology.

Graph Coloring with Physics-Inspired Graph Neural Networks Artificial Intelligence

We show how graph neural networks can be used to solve the canonical graph coloring problem. We frame graph coloring as a multi-class node classification problem and utilize an unsupervised training strategy based on the statistical physics Potts model. Generalizations to other multi-class problems such as community detection, data clustering, and the minimum clique cover problem are straightforward. We provide numerical benchmark results and illustrate our approach with an end-to-end application for a real-world scheduling use case within a comprehensive encode-process-decode framework. Our optimization approach performs on par or outperforms existing solvers, with the ability to scale to problems with millions of variables.