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MUNICH:The Syrian opposition is fully committed to peace talks and hopes it would pave the way for a political transition, according to a senior official on Sunday.The peace talks are to be held in Geneva on February 23."We are fully committed to the Geneva talks," <a href=https://www.campusadidas.fr>campus adidas</a> Syrian National Coalition President Anas <a href=https://www.nbbalance.it>nb 530</a> al-Abdah told delegates at the Munich Security Conference.Syrian opposition's Manna says no peace talks without <a href=https://www.adidascampus.com.de>adidas campus pink</a> Kurds"We cannot address the profound security threats ... while Assad remains in power," he said.Brett McGurk, the United States' envoy to the coalition against Islamic State, said the new US administration was still reviewing its stance on the Syrian issue.He added that it was seeking a role to reinforce Russian and Turkish efforts to cement a ceasefire in the country. Rice University's Early Bird could care less about the worm; it's looking for megatons of greenhouse gas emissions.Early Bird is an energy-efficient method for training deep neural networks (DNNs), the form of artificial intelligence (AI) behind self-driving cars, intelligent assistants, facial recognition and dozens more high-tech applications.Researchers from Rice and Texas A&amp;M University unveiled Early Bird in a spotlight paper at ICLR 2020, the International Conference on Learning Representations. A study by lead authors Haoran You and Chaojian Li of Rice's Efficient and Intelligent Computing (EIC) Lab sho <a href=https://www.nikeairforces.de>nike air forces 1</a> wed Early Bird could use 10.7 times less energy to train a DNN to the same level of accuracy or better th <a href=https://www.yeezyy.at>yeezy</a> an typical training. EIC Lab director Yingyan Lin led the research along with Rice's Richard Baraniuk and T <a href=https://www.adidas-yeezy.it>yeezy slide</a> exas A&amp;M's Zhangyang Wang."A major driving force in recent AI breakthroughs is the introduction of bigger, more expensive DNNs," Lin said. "But training these DNNs

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