We further transfer those PGNs into text which helps us build mixed game-language datasets from these sources.

Commentator 2: Deep Blue! Kasparov, after the move C4, has resigned! Jennifer: I'm Jennifer Strong, and this is I Was There When--an oral history project featuring the stories of breakthroughs and watershed moments in AI and computing, as told by those who witnessed them. This episode, we meet the man on the other side of that chess board, Garry Kasparov. Garry Kasparov: It was inevitable that something described on the cover of Newsweek as the brain's last stand and in books as big as the moon landing would involve a lot of mythology. I admit that I was caught up in a lot of this hype myself.

The starting point of modern information technology has as a starting point the year 1945 and the machine that defeated the Enigma code, the ENIAC, and the English mathematician and cryptanalyst, Alan Turing. "The original question, can machines think?" Forty years of development, starting from ENIAC, led to IBM's supercomputer Deep Blue. In 1985, Garry Kasparov became the world champion in chess beating 32 opponents, simultaneously. Deep Blue's predecessor, "Deep Thought", lost two times by the world chess champion Garry Kasparov in 1989.

"My fascination with AI began when I first heard about IBM's supercomputer Deep Blue defeating Garry Kasparov." For this week's ML practitioner's series, Analytics India Magazine (AIM) got in touch with Hamsa Buvaraghan. Hamsa currently leads Google Cloud's Data Science and MLOps Solution team, building revolutionary software solutions for business problems using Google's Data Analytics and AI/ML products. She has an Engineering degree in Computer Science from Mysore University and an MBA, Honors from Saint Mary's College of California. Hamsa: My fascination with AI began when I was in India, back in 1997, when I heard about IBM's supercomputer Deep Blue defeating Garry Kasparov.

"My fascination with AI began when I first heard about IBM's supercomputer Deep Blue defeating Garry Kasparov." For this week's ML practitioner's series, Analytics India Magazine (AIM) got in touch with Hamsa Buvaraghan. Hamsa currently leads Google Cloud's Data Science and MLOps Solution team, building revolutionary software solutions for business problems using Google's Data Analytics and AI/ML products. She has an Engineering degree in Computer Science from Mysore University and an MBA, Honors from Saint Mary's College of California. Hamsa: My fascination with AI began when I was in India, back in 1997, when I heard about IBM's supercomputer Deep Blue defeating Garry Kasparov.

This article is brought to you thanks to the collaboration of The European Sting with the World Economic Forum. As the US goes through the biggest loss of jobs in decades, President Donald Trump is proposing to solve matters by decoupling the US' manufacturing relationship with China and bringing those jobs back to America. However, there is a significant challenge to that strategy. By and large, manufacturing jobs as we know them are not going to return. Instead, they are set to be replaced by automation and machine learning.

Garry Kasparov is a political activist who's written books and articles on artificial intelligence, cybersecurity and online privacy, but he's best known for being the former World Chess Champion who took on the IBM computer known as Big Blue in the mid-1990s. I spoke to Kasparov before a speaking engagement at the Collision Conference last month where he was participating in his role as Avast Security Ambassador. Our discussion covered a lot of ground, from his role as security ambassador to the role of AI. (Transcribed questions and answers were edited for clarity.) TechCrunch: How did you become a security ambassador for Avast? Garry Kasparov: It started almost by accident.

Tue 19 May 2020 06.14 EDT Last modified on Tue 19 May 2020 06.16 EDT When legendary chess grandmaster Garry Kasparov found himself beaten by IBM's Deep Blue supercomputer, it was seen as a seminal moment in the evolution of artificial intelligence. It was New York, 1997 and for the first time ever a computer had beaten a world champion under tournament conditions. This was the culmination of a journey in which the first stirrings of what we now call artificial intelligence and machine learning were born. A road trodden by war heroes and student researchers alike, whose singular desire to create a program that could beat the very best in the world would shape an entire science. Early origins Chess lends itself well to computer programming.

"Focusing on your strengths is required for peak performance, but improving your weaknesses has the potential for the greatest gains. This is true for athletes, executives and entire companies." As parents, we get to see our kids growing, trying, falling and learning in the process. First steps, first words, first drawings leave us amazed. As our children become adults, they continue to learn, choose a career and become athletes, surgeons, plane pilots, journalists, teachers… and we're proud.