DeepMind将深度学习技术与强化学习结合在一起,突破了玩游戏等复杂学习问题,在”玩Atari游戏”和用Alpha Go”玩围棋游戏”中都有出众的表现。 为了与命名保持一致,他们把他们的新技术称为Deep Q-Network,将Deep Learning与Q-Learning相结合。他们还列举了更广泛的“深化强化学习”的研究领域。 他们2015年在Nature上发表...
Google DeepMind is the research unit withinGoogle AIthat helped develop and releaseGemini, Google’s firstmultimodalgenerative AIchatbot. Google CEO Sundar Pichai has said that the Geminilarge language model(LLM) family fulfills the vision Google had when they formed Google DeepMind. Advertisements Acc...
参考解析:根据题干关键信息agreement between the NHS and DeepMind可定位至文章首段。本段末句提到,伊丽莎白·德纳姆指控NHS下属的一个医院信托机构,该机构于2015年基于一个不甚明确的协议把160万患者的医疗记录交给了DeepMind公司,该协议基本没有考虑到患者的权利以及他们对于保护自己隐私的期望。由此可知,NHS和DeepMind...
31. What is true of the agreement between the NHS and DeepMind? [A] It fell short of the latter's expectations. [B] It caused conflicts among tech giants. [C] It failed to pay due attention to patients' rights. [D] It put both sides into a dangerous situation. ...
1What is the real reason of Information leakage of private data? A.DeepMind has no relative operating freedom.B.Google Health division in California are allowed to retrieve the records of 1.6 m patients.C.Britain's National Health Service leaks the private data of their patients.D.Some companie...
31. What is true of the agreement between the NHS and31. 关于NHS与DeepMind之间协议属实的DeepMind?是什么?[A] It caused conflicts among tech giants.[A] 它引发了科技巨头之间的冲突。[B] It failed to pay due attention to patient’s rights.[B] 它没能对病人的权利给予应有的重视。[C] It ...
Here are some things DeepMind is working on that you should know about. The launch of Gemini has been delayed. Back in September, Googleteased the launchof a new large language model called Gemini, which would rival OpenAI’s ChatGPT. ...
A. DeepMind has no relative operating freedom. B. Google Health division is allowed to retrieve the records of 1. 6m patients. C. Britain’s National Health Service leaks the private data of their patients. D. Some companies have collected private data for commercial gain carelessly. ...
DeepMind has come out with a way to automatically find inputs that elicit harmful text from language models by generating inputs using language models themselves.