Aravind 是 UCB 的 CS Phd,主攻方向是在计算机视觉和强化学习中融入 Transformer 模型。Phd 期间,他先后分别在 OpenAI、DeepMind 和 Google 做 Research Intern。毕业后,他加入 OpenAI 工作了一年,研究语言模型和扩散模型。22 年 8 月,离开 OpenAI 创立 Perplexity。 具体来说,Aravind是一个印度人,考上了印度理工...
Aravind 是 UCB 的 CS Phd,主攻方向是在计算机视觉和强化学习中融入 Transformer 模型。Phd 期间,他先后分别在 OpenAI、DeepMind 和 Google 做 Research Intern。毕业后,他加入 OpenAI 工作了一年,研究语言模型和扩散模型。22 年 8 月,离开 OpenAI 创立 Perplexity。 具体来说,Aravind是一个印度人,考上了印度理工...
Murdoch also talked about DeepMind’s AI in nuclear fusion reactors. When building such reactors, plasma – which is very hot and volatile – needs to be controlled. Researchers have worked for a number of years to control plasma, but DeepMind has been able to use its AI research ...
Alex:不知道你有没有关注 Google DeepMind 在这个领域做的很多投资,他们希望把这方面产业化。你怎么看他们在产业化这方面的努力? 田渊栋:我相信他们最近能产业化的就是 DeepMind HealthCare。我听说最近 Google 准备 take over 这个部分,当然内部具体的工作我们都不清楚。产业化这方面,我认为可以在围棋或国际象棋等棋...
In ablog postyesterday, CEO Demis Hassabis revealed DeepMind will be opening its first ever international research space in Edmonton. The undertaking will unfold in a close collaboration with the University of Alberta (UAlberta). “It was a big decision for us to open our first non-UK research...
In September, we were asked by the UK Secretary of State for the Department of Science, Innovation and Technology (DSIT) to share Google DeepMind’s approach to 7 areas of safety and responsibility...
Announcing Google DeepMind DeepMind and the Brain team from Google Research will join forces to accelerate progress towards a world in which AI helps solve the biggest challenges facing humanity. 20 April 2023 Company The pursuit of AI education—past, present, and future ...
common questions they receive about technical interviewing. To share their perspectives and to discuss what it’s actually like to work at DeepMind, we brought together Mihaela Rosca (Research Engineer), Feryal Behbahani (Research Scientist) and Kate Parkyn (Recruitment Lead - Research & Engineering)...
This is a real tension. When you were at DeepMind in Alphabet and you were very research-focused, and then the research was moved back into Google and Google’s engineers would turn it into products. And you can see how that relationship worked. Now, you’re inside of Google. Google is...
DeepMind 提出的 Gato 是用一个单一的预训练模型完成很多不同的任务。模型结构简单,只有一个 Transformer 架构,只有约 12亿参数。Gato 能够执行 600 多种不同的任务,可以使用相同的权重来完成注释图像、聊天、玩小游戏、bu关节力矩控制、在现实中使用机械臂对叠积木、在模拟 3D 环境中导航等等任务。 这启发我们,Tr...