In 2021, Nikhil Kamath, founder of Zerodha, defeated five-time world champion Vishwanathan Anand in chess with the help of computers (he confessed later on) at a celebrity fundraiser. The controversy sparked discussions around the use of AI in the game of chess. As India is all set to host the 44th edition of the Chess Olympiad in Mahabalipuram starting on July 28, let's look at how AI has impacted the game of chess. The earliest mention of technology in chess can be traced back to the 18th century when Austrian empress Maria Theresa commissioned a chess-playing machine. Many players competed against the'Mechanical Turk', thinking it was an automated machine.

Even as many businesses experiment with AI using rudimentary machine learning (ML) and deep learning (DL) models, a new sort of AI called symbolic AI is emerging from the lab, with the potential to transform both AI's function and its relationship with its human overseers. There are two groups in AI history: symbolic AI and non-symbolic AI, each of which takes a distinct approach to build an intelligent system. The symbolic method tried to create an intelligent system with explainable actions based on rules and knowledge, whereas the non-symbolic method aimed to create a computational system modeled after the human brain. The ultimate objective of computer science is to create an AI system capable of thinking, logic, and learning. Most AI systems today, on the other hand, only have one of the two abilities: learning or reasoning.

Chess has captured the imagination of humans for centuries due to its strategic beauty--an objective, board-based testament to the power of mortal intuition. Twenty-five years ago Wednesday, though, human superiority on a chessboard was seriously threatened for the first time. At a nondescript convention center in Philadelphia, a meticulously constructed supercomputer called Deep Blue faced off against Garry Kasparov for the first in a series of six games. Kasparov was world chess champion at the time and widely considered to be one of the greatest players in the history of chess. He did not expect to lose.

Most chess computers play a purely mathematical strategy in a game yet to be solved. They are raw calculators and look like it too. AlphaZero, at least in style, appears to play every bit like a human. It makes long-term positional plays as if it can visualize the board; spectacular piece sacrifices that no computer could ever possibly pull off, and exploitative exchanges that would make a computer, if it were able, cringe with complexity. In short, AlphaZero is a genuine intelligence.

Artificial intelligence is considered as a key technology. It has a huge impact on our society. Besides many positive effects, there are also some negative effects or threats. Some of these threats to society are well-known, e.g., weapons or killer robots. But there are also threats that are ignored. These unknown-knowns or blind spots affect privacy, and facilitate manipulation and mistaken identities. We cannot trust data, audio, video, and identities any more. Democracies are able to cope with known threats, the known-knowns. Transforming unknown-knowns to known-knowns is one important cornerstone of resilient societies. An AI-resilient society is able to transform threats caused by new AI tecchnologies such as generative adversarial networks. Resilience can be seen as a positive adaptation of these threats. We propose three strategies how this adaptation can be achieved: awareness, agreements, and red flags. This article accompanies the TEDx talk "Why we urgently need an AI-resilient society", see https://youtu.be/f6c2ngp7rqY.

A small group of mujahidin is trekking through the mountains. They carry their Kalashnikov rifles on their shoulders, but they are not especially worried. The nearest enemy unit is several hours away. So high in the mountains, they would see them coming from a long distance. There are other dangers, though.

Artificial Intelligence (AI) is continuing to advance. But in many AI initiatives, a critical component is missing. Read about why Human-Centered Design critical to succeed in the AI space, and how you can get started. The excitement of artificial intelligence (AI) continues. We keep hearing grand promises of a complete re-shaping of organizations and society thanks to big data and AI-powered projects.

The excitement of artificial intelligence continues. We keep hearing grand promises of a complete re-shaping of organizations and society thanks to big data and AI-powered projects. Media reports on new technical advances, and it's easy to get the feeling that new "artificial minds" are outperforming humans in more and more domains, ranging from healthcare, transportation, logistics, and financial investment, to games and even creativity. At the same time, recent studies estimate that 60 percent of data-driven and AI projects fail to even launch. And we also hear many concerns about the risks with AI, such as robots taking people's jobs and how negative bias can spread fake information that can amplify and distort public opinion.

Foreword Welcome to 2019 and our extended version of the 10 Minutes on Sport! Over the 2019 calendar year we will release new versions of the publication which take a deeper look at four emerging aspects in sport. We begin by defining artificial intelligence ("Sense, Think and Act"), its current applications in sport where the digitally connected fan is becoming a sports venue's biggest on-line influencer, key considerations for the future development and governance. I trust you enjoy the read.

Foreword Welcome to 2019 and our extended version of the 10 Minutes on Sport! Over the 2019 calendar year we will release new versions of the publication which take a deeper look at four emerging aspects in sport. We begin by defining artificial intelligence ("Sense, Think and Act"), its current applications in sport where the digitally connected fan is becoming a sports venue's biggest on-line influencer, key considerations for the future development and governance. I trust you enjoy the read.