Applying Data Science to Robotics
In his blog post “How Data Science Apply to Robotics” on Data Science Central, Dr. Ammar A. Raja points out that there are two major problems scientists have encountered while applying data science to robotics.
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Jürgen Schmidhuber: True Artificial Intelligence Will Change Everything
From LSTM deep learning technique to self-learning humanoid robot, Jürgen Schmidhuber’s research teams have won awards in various machine learning competitions, including medical image recognition.
Global AI Hackathon in Toronto
On June 23-24, the first Global Artificial Intelligence Hackathon took place in Toronto at University of Toronto, alongside 14 otherContinue Reading
2017 1000 Plan Startup Contest – Silicon Valley Regional Competition
1000 Plan Startup Contest is going to hit Silicon Valley on June 10. As one of the most influential US-ChinaContinue Reading
RE·WORK: Deep Learning in Retail Summit (London, UK)
RE•WORK is one of the top global Machine Intelligence industry conference/summit organizers. The aim of Rework: Combining entrepreneurship, technology & science to re-work the future.
1 Day Countdown: Industry Spotlights on Global Machine Intelligence Summit 2017
With just one day remaining before the GMIS 2017 kicks off in Beijing, we’ll survey the industry applications of AI technologies.
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.
3 Day Count Down: GMIS 2017 Warms Up With Debate at Pre-Event in San Francisco
“There is going to be a revolution that’s 100 times the size of the mobile revolution,” claimed Saman Farid fromContinue Reading
8 Day Countdown: Technical Spotlight on the Global Machine Intelligence Summit 2017
On May 27-28, SYNCED will host the Global Machine Intelligence Summit 2017 (GMIS) at 898 Innospace in Beijing. This isContinue Reading
Make AI Computing 100 Times Faster
“We want to be able to train a machine learning model, like Google Translate, in a few hours,” said Prof. Hwu. Best known for enabling the parallelism capability of the GPU to solve scientific problems like AI.
