Mariann Piano, PhD, FAAN, FAHA, senior associate dean for research and the Nancy and Hilliard Travis Professor of Nursing, said she often introduced Christenbery to others as ‘a VUSN pillar.’ “Tom was emblematic of our values as a school and the ultimate mission of nursing, which is to deliver kind and compassionate care to people,” Piano said.Ĭompassion was a word that many use in connection with Christenbery. We will deeply miss him and grieve his loss.” “He forged warm bonds with colleagues and students alike. “Tom left a mark on everyone he encountered with his friendly smile, quick wit, compassion for all, deep thinking and love for nursing,” she said. Norman, DSN, FAAN, brought Christenbery to Vanderbilt in 2000. “He made each and every one of us feel like we were special and could make a difference in the future of nursing.”ĭean Linda D. He fueled our passion to contribute and be the best,” said Pam Jones, BSN’81, MSN’92, DNP’13, FAAN, VUSN senior associate dean for clinical and community partnerships. “Tom made everyone-faculty, staff and students-feel like they had an unlimited horizon of possibilities. In his two decades at Vanderbilt, he taught and mentored hundreds of students and colleagues, encouraging them to reach for new possibilities. The popular Christenbery was legendary for his friendliness, kindness and encouraging nature. Christenbery, MSN’87, PhD’04, CNE, professor of nursing and director of program evaluation at Vanderbilt University School of Nursing, died unexpectedly in his sleep Tuesday, Feb. Vanderbilt Nurse-Midwifery Faculty Practice.Center for Research Development and Scholarship (CRDS).Designed to help unearth even more strategic moves, the summit included various game formats such as pair Go, team Go, and a match with the world’s number one player Ke Jie.
The five-day festival created an opportunity to explore the mysteries of Go in a spirit of mutual collaboration with the country’s top players. This online player achieved 60 straight wins in time-control games against top international players.įour months later, AlphaGo took part in the Future of Go Summit in China, the birthplace of Go.
In January 2017, we revealed an improved, online version of AlphaGo called Master. Players of all levels have extensively examined these moves ever since. During the games, AlphaGo played several inventive winning moves, several of which - including move 37 in game two - were so surprising that they upended hundreds of years of wisdom. This was the first time a computer Go player had ever received the accolade.
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The game earned AlphaGo a 9 dan professional ranking, the highest certification. This landmark achievement was a decade ahead of its time. AlphaGo's 4-1 victory in Seoul, South Korea, on March 2016 was watched by over 200 million people worldwide. AlphaGo won the first ever game against a Go professional with a score of 5-0.ĪlphaGo then competed against legendary Go player Mr Lee Sedol, the winner of 18 world titles, who is widely considered the greatest player of the past decade. In October 2015, AlphaGo played its first match against the reigning three-time European Champion, Mr Fan Hui. AlphaGo went on to defeat Go world champions in different global arenas and arguably became the greatest Go player of all time. This process is known as reinforcement learning. Over time, AlphaGo improved and became increasingly stronger and better at learning and decision-making. Then we had it play against different versions of itself thousands of times, each time learning from its mistakes. We introduced AlphaGo to numerous amateur games to help it develop an understanding of reasonable human play. The other neural network, the “value network”, predicts the winner of the game. One neural network, the “policy network”, selects the next move to play. These neural networks take a description of the Go board as an input and process it through a number of different network layers containing millions of neuron-like connections. We created AlphaGo, a computer program that combines advanced search tree with deep neural networks. To capture the intuitive aspect of the game, we needed a new approach.