AI Doubling Its Compute Every 3.5 Months
Compute Scoreboard:
AlexNet 1
AlphaZero 300,000
Tag: AlphaGo
South Korea Aims High on AI, Pumps $2 Billion Into R&D
Eager to kickstart its AI industry, the nation of 52 million yesterday released an ambitious national plan to invest ₩2.2 trillion (US$2 billion) by 2020 to strengthen its AI R&D capability.
From Zero to Master in Hours: AlphaZero Accelerates Reinforcement Learning
Google’s DeepMind has once again surprised the machine learning community, this time with the introduction of AlphaZero — a new algorithm that can quickly surpass human board game performance through reinforcement learning self-play.
Poker & AI: The Rise of Machines Against Humans
AI applications in the poker industry? This infograh shows you the AI capable of playing poker at (very) high levels.
AlphaGo Zero: Approaching Perfection
Facebook AI Researcher Yuandong Tian says new AlphaGo Zero paper is destined to be a classic.
Tokyo: AI and Society Symposium
Synced attended the AI and Society Symposium held October 10-11th in Tokyo, where speakers from industry and academia exchanged ideas for practical applications and possible future developments of AI.
GoodAI – Sending AI to School
Marek Rosa’s dream is to create a machine that improves itself recursively to achieve an intelligence level humans cannot imagine, allowing it to tackle problems of any scale.
Ready, Set, Go! Meet Yuandong Tian: AI Maverick
“Scientists need passion to do research, and that is my passion.” – Yuandong Tian, Facebook Artificial Intelligence Researcher
AlphaGo: The Ultimate Go Master
For more than 2,500 years, humans have been playing and studying the incredibly complex game of Go. In a matter of months, AI learned how to do it better.
Why AlphaGo is not AI
Thanks to AlphaGo, the term “Artificial Intelligence” (AI) came under the spotlight (again). However, Jean-Christophe Baillie doesn’t agree that AlphaGo is AI, for the reason that it’s not able to get us to full AI – an Artificial General Intelligence (AGI).
Synced Exclusive Interview with “Fine Art” Team Lead: “Stronger Models though Brand New Reinforcement Learning Techniques”
Synced had the opportunity for an exclusive interview with Tecent AI Lab’s senior manager, team lead for Fine Art, Liu Yongsheng.