This week in The History of AI at – Deep Blue versus Garry Kasparov


This week in The History of AI at – IBM "Deep Blue" machine defeats Garry Kasparov, the then-reigning World Chess Champion, at chess, in a highly-publicised match on 11 May, 1997. This date was the conclusion of 2 matches, one starting the year before, 1996. The face-off began on February 10, 1996, in Philadelphia, Pennsylvania. Kasparov actually won this match 4-2. A year later in New York City, they would actually rematch, where Deep Blue defeated Kasparov 3.5-2.5.

AI Is Improving Its Artistic Skills, But Who Owns Its Output?


We were discussing whether computers would ever generate art that matched what humans could create. She took the position that machines cannot "create" anything. I took the opposite position, contending that there is nothing humans can do that machines cannot. This post dives into AI's latest attempts to create art, then examines who owns the output. It is a humbling reality, but artificial intelligence has already matched (and surpassed) us humans in a variety of tasks.

Artificial Intelligence (AI) in construction - AEC Magazine


Q: Senthil, it's always great to meet a new face in AEC software. Can you tell us about your previous work and what you do at Slate? A: I've been working on advanced data technology in global software companies for over two decades now. I've helped pioneer multiple technological endeavours during that time, including AI, Blockchain, dge, cloud computing, metaverse, IoT, swarm robotics, system autonomy, and Big Data computing in industries spanning autonomous vehicles, fintech, smart buildings and cities, geospatial engineering, insurance, health care, and medicine. I've also helped develop the emerging AI Industry standards, such as the EU Artificial Intelligence Act, and also work in numerous industry think tanks and advisory boards of well-known academia and startups. Recently, my pioneering AI work was cited in the wall street journal and was recognised by the World Economic Forum.

The Guardian view on bridging human and machine learning: it's all in the game


Last week an artificial intelligence – called NooK – beat eight world champion players at bridge. That algorithms can outwit humans might not seem newsworthy. IBM's Deep Blue beat world chess champion Garry Kasparov in 1997. In 2016, Google's AlphaGo defeated a Go grandmaster. A year later the AI Libratus saw off four poker stars.

Artificial intelligence beats eight world champions at bridge

The Guardian

An artificial intelligence has beaten eight world champions at bridge, a game in which human supremacy has resisted the march of the machines until now. The victory represents a new milestone for AI because in bridge players work with incomplete information and must react to the behaviour of several other players – a scenario far closer to human decision-making. In contrast, chess and Go – in both of which AIs have already beaten human champions – a player has a single opponent at a time and both are in possession of all the information. "What we've seen represents a fundamentally important advance in the state of artificial intelligence systems," said Stephen Muggleton, a professor of machine learning at Imperial College London. French startup NukkAI announced the news of its AI's victory on Friday, at the end of a two-day tournament in Paris.

AI is 'Better Than' Humans and That is Ok


Remember in 2017, Elon Musk said that artificial intelligence would replace humanity in the next five years? While working on artificial intelligence for Tesla cars, he concluded that society had approached the moment when artificial intelligence could become significantly smarter than people. "People should not underestimate the power of the computer,'' Musk said. "This is pride and an obvious mistake." He must know what he's talking about, being one of the early investors of DeepMind, a Google subsidiary that developed an AI that could beat humans at Go and chess. AI is really good at many "human" tasks -- diagnosing diseases, translating languages, and serving customers.

Brainstorming AI


Far from the stuff of fantasy, artificial intelligence (AI) has become an integral part of our lives. Even the most tech-adverse among us use AI, perhaps unknowingly, when we type a query into Google or plug in GPS. Those who embrace technology, on the other hand, actively look for ways AI can improve their work and personal lives. Though it seems AI is a new phenomenon, the technology has been around since 1956. While AI's popularity has waxed and waned, it gained legitimacy in the 1990s and 2000s when a chess computer program beat the grand chess master Garry Kasparov and speech recognition software was installed on Windows.

The history of machine learning algorithms


Machine learning algorithms can perform exponential tasks today--from mastering board games and identifying faces to automating daily tasks and making predictive decisions--this decade has brought forward countless algorithmic breakthroughs and several controversies. But one would find it a challenge to believe this development started only less than a century ago with Walter Pitts and Warren McCulloch. Analytics India Magazine takes you through a historical story of machine learning algorithms. Machine learning was ideated first in 1943 by logician Walter Pitts and neuroscientist Warren McCulloch, who published a mathematical paper mapping the decision-making process in human cognition and neural networks. Later, mathematician and computer scientist Alan Turing introduced the Turing test in 1950.

La veille de la cybersécurité


It may sound like nothing more than a thrilling science fiction trope, but scientists who study artificial intelligence warn that AI singularity -- a point when the technology irreversibly surpasses the capabilities of the human mind -- is a real possibility, and some say it will happen within a few decades. Surveys of AI experts, including this one published in the Journal of Artificial Intelligence Research in 2018, tend to find that a significant chunk of researchers think there's at least a 50 percent chance that some people alive today will live to see an AI singularity. Some expect it within the next decade. The moment AI reaches human-level intelligence will mark a profound change in the world. Such sophisticated AI could create more, increasingly advanced AI.

learning from history and future of AI!


IBM requested a rematch, and its team spent the next year building even faster hardware. 'it didn't lead to the breakthroughs that allowed the [deep blue] AI to have a huge impact on the world,' says campbell, one of deep thoughts' developers. 'there are very few problems out there where, as with chess, you have all the information you could possibly need to make the right decision,' campbell adds. 'most of the time there are unknowns.