Computing technology has become pervasive and with it the expectation for its ready availability when needed, thus basically at all times. Dependability is the set of techniques to build, configure, operate, and manage computer systems to ensure that they are reliable, available, safe, and secure.1 But alas, faults seem to be inherent to computer systems. Components can simply crash or produce incorrect output due to hardware or software bugs or can be invaded by impostors that orchestrate their behavior. Fault tolerance is the ability to enable a system as a whole to continue operating correctly and with acceptable performance, even if some of its components are faulty.3 Fault tolerance is not new; von Neumann himself designed techniques for computers to survive faults.4
Large, expensive, computing-intensive research initiatives have historically promoted high-performance computing (HPC) in the wealthiest countries, most notably in the U.S., Europe, Japan, and China. The exponential impact of the Internet and of artificial intelligence (AI) has pushed HPC to a new level, affecting economies and societies worldwide. In Latin America, this was no different. Nevertheless, the use of HPC in science affected the countries in the region in a heterogeneous way. Since the first edition in 1993 of the TOP500 list of most powerful supercomputing systems in the world, only Mexico and Brazil (with 18 appearances each) made the list with research-oriented supercomputers.
Theoretical computer science is everywhere, for TCS is concerned with the foundations of computing and computing is everywhere! In the last three decades, a vibrant Latin American TCS community has emerged: here, we describe and celebrate some of its many noteworthy achievements. Computer science became a distinct academic discipline in the 1950s and early 1960s. The first CS department in the U.S. was formed in 1962, and by the 1970s virtually every university in the U.S. had one. In contrast, by the late 1970s, just a handful of Latin American universities were actively conducting research in the area. Several CS departments were eventually established during the late 1980s. Often, theoreticians played a decisive role in the foundation of these departments. One key catalyst in articulating collaborations among the few but growing number of enthusiastic theoreticians who were active in the international academic arena was the foundation of regional conferences.
In 2017, The Economist declared that data, rather than oil, had become the world's most valuable resource. The refrain has been repeated ever since. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to IDG's State of the CIO 2020 report, 37 percent of IT leaders say that data analytics will drive the most IT investment at their organization this year. Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives.
Armed militia stroll around London, picking fights where they please and shutting down small gatherings of masked protesters demanding their freedoms on street corners. In Watch Dogs Legion's future dystopian British capital, Brexit happened years ago, Scotland has seceded from the union, and the country has been overtaken by private, corporate interests who've wrested control from the government and framed a collective of hacker protesters, DeadSec, for a series of terrorist attacks. People are pissed off, and ready to rise up. You, the player, are the catalyst that makes that happen. Like Grand Theft Auto, Watch Dogs conjures a huge living city out of code, filled with thousands of individual characters who go about their lives, going to work, visiting their sister, driving around in the rain.
Amazon users in the UK can now try and answer questions that Alexa doesn't know. The US tech company has announced the general availability of Alexa Answers in the UK – a crowd-sourced method of making its Alexa digital assistant more intelligent. The online hub offers users the chance to answer questions that Amazon's smart assistant Alexa didn't know the answer to. Users just need to sign in to their Amazon account at the Alexa Answers webpage and start browsing unanswered questions that they think they can answer. The UK launch will help Alexa get smart on topics specific to the UK, including the Spice Girls and the two-pound coin, Amazon hopes. In return for their knowledge, Alexa Answers users can earn points and get onto leaderboards on the hub.
This talk addresses some key decisional issues that are necessary for a cognitive and collaborative robot which shares space and task with a human. One main challenge, inspired by the Joint Action framework, is to endow the robot with the capacity to build and to maintain, co-constructively with the human, and as long as necessary, the collaborative process and relationship that come along with the task, thus allowing its joint execution. We adopt a constructive approach based on the identification and the effective implementation of individual and collaborative skills. Key design issues are linked to legibility, acceptability and pertinence of robot decisions and behaviours. I will provide some illustrative examples from several collaborative research projects.
10.2760/12297 (online) - This report describes the current state of the art in artificial intelligence (AI) and its potential impact for learning, teaching, and education. It provides conceptual foundations for well-informed policy-oriented work, research, and forward-looking activities that address the opportunities and challenges created by recent developments in AI. The report is aimed for policy developers, but it also makes contributions that are of interest for AI technology developers and researchers studying the impact of AI on economy, society, and the future of education and learning.