We consider a multi-player multi-armed bandit setting in the presence of adversaries that attempt to negatively affect the rewards received by the players in the system. The reward distributions for any given arm are heterogeneous across the players. In the event of a collision (more than one player choosing the same arm), all the colliding users receive zero rewards. The adversaries use collisions to affect the rewards received by the players, i.e., if an adversary attacks an arm, any player choosing that arm will receive zero reward. At any time step, the adversaries may attack more than one arm. It is assumed that the players in the system do not deviate from a pre-determined policy used by all the players, and that the probability that none of the arms face adversarial attacks is strictly positive at every time step. In order to combat the adversarial attacks, the players are allowed to communicate using a single bit for $O(\log T)$ time units, where $T$ is the time horizon, and each player can only observe their own actions and rewards at all time steps. We propose a {policy that is used by all the players, which} achieves near order optimal regret of order $O(\log^{1+\delta}T + W)$, where $W$ is total number of time units for which there was an adversarial attack on at least one arm.

As soon as Apple announced its plans to inject generative AI into the iPhone, it was as good as official: The technology is now all but unavoidable. AI has already colonized web search, appearing in Google and Bing. OpenAI, the 80 billion start-up that has partnered with Apple and Microsoft, feels ubiquitous; the auto-generated products of its ChatGPTs and DALL-Es are everywhere. Rarely has a technology risen--or been forced--into prominence amid such controversy and consumer anxiety. Certainly, some Americans are excited about AI, though a majority said in a recent survey, for instance, that they are concerned AI will increase unemployment; in another, three out of four said they believe it will be abused to interfere with the upcoming presidential election.

One day soon, a menu may judge you. You'll walk up to a kiosk in a quick service restaurant and a tiny camera will scan your features, registering your height, age, gender, and mood. Instantly, it will adjust its display, selecting meal options picked just for you. Once you've ordered and moved on, the person behind you will step into the menu's gaze, and the process will start again. This is the idea behind new software from Raydiant, a San Francisco-based software company that plans to roll out its AI-driven kiosks by the end of this year.

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"We are standing on the beach, watching a fast-approaching tsunami, and all that we have around us are a few pieces of driftwood. We can continue trying to build a shelter from the driftwood in the few seconds that we have remaining, or we can figure out how we are going to use the driftwood to ride the ineluctable wave." I thought of this analogy when I was at a recent meeting held between some of the key players in the book production industry in South Africa. I heard many complaints of how "various philanthropists are bypassing the official library chain in South Africa by establishing libraries", "the number of books that were being registered on an official registry are lower than previous years" and so on. In many ways, I could picture myself sitting in a meeting with key players in the music industry about 12 years ago, around the same time that the likes of Spotify were gaining traction, and they would have been having similar discussions focused on the future of music.

ABSTRACT In this paper, we study the uncoordinated spectrum access problem using the multi-player multi-armed bandits framework. W e consider a model where there is no central control and the users cannot communicate with each other. The environment may appear differently to different users, i.e., the mean rewards as seen by different users for a particular channel may be different. Additionally, in case of a collisi on, we allow for the colliding users to receive nonzero rewards . Index T erms-- multi-armed bandits, uncoordinated spectrum access 1. INTRODUCTION Multi-player multi-armed bandit models have been widely used to study the spectrum access problem [1-9], where there are multiple users vying for a set of channels.

Welcome to Engadget's newest series, Hitting the Books. With less than one in five Americans reading just for fun these days, we've done the hard work for you by scouring the internet for the most interesting, thought provoking books on science and technology we can find and delivering an easily digestible nugget of their stories. Modern tech culture has long been enamored with the mythos of the lone genius achieving superhuman status (a la The Matrix). Whether it's Jack Dorsey's self flagellating dietary restrictions, Peter Thiel's obsession with "young blood" transfusions, or Tim Ferris' outright maniacal 4-hour self improvement regimens, if you're a wealthy white guy in Silicon Valley and not trying to live forever, you're doing it wrong. But for all the Bond villain-esque grifters selling the promise of eternal youth in 12 easy steps, a dedicated cadre of technologists have spent years investigating how we might actually achieve Ray Kurtweil's predicted singularity.

BOGOTA, Colombia – The exiled opposition leader accused by Venezuelan authorities of directing a failed plot to assassinate President Nicolas Maduro says the greatest threat to the embattled socialist leader may be his detractors in uniform standing quietly behind him. Julio Borges, who once led Venezuela's opposition-controlled National Assembly, said Tuesday that the arrests of two high-ranking military officers in connection with the attack using drones loaded with plastic explosives is yet another signal that fractures within the nation's armed forces are growing. "The conflict today is within the government -- not just at the political level, but more importantly within the armed forces," Borges said in an interview with The Associated Press in Colombia's capital. His comments came hours after Venezuela's chief prosecutor announced the arrest of Gen. Alejandro Perez and Col. Pedro Zambrano from Venezuela's National Guard as part of the investigation into the Aug. 4 attack. Their alleged roles were not described.

An AI winter is a time when funding and support for artificial intelligence research and commercial ventures dries up. AI went through various winters in the 20th century, when early promise turned to disillusion, and the best technologists turned their minds to other problems. Though many definitions of AI are overly vague, it is an important technology that receives a lot of media attention. That means a lot of people have opinions about it even if they are unfamiliar with how it works and what its limits are. This post gives you a framework by which to interpret opinions about AI, to situate someone who holds an AI opinion stands and understand who their allies and opponents are.

With trade wars, immigration crackdowns and polarized media, we seem to be in an endless winter of political and societal discontent. Ironically, the primary driver of this discontent, the state of American jobs, has rarely been this good. Unemployment has fallen to 3.8 percent, an 18-year low. For the first time this century, since the Bureau of Labor Statistics has been keeping tabs, there is, today, a job available for every unemployed American worker. This does not mean that everyone can have a dream job or that every job opening has its dream candidate, but it is an important milestone.