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2019年最受关注的人工智能影响者

Yoshua Bengio: Yoshua BengioOCFRSC (born 1964 in Paris, 法国)是加拿大人 计算机科学家,因在 人工神经网络 and deep learning. 他是2018年的共同获奖者 ACM A.M. Turing Award for his work in 深度学习。 He is a professor at the Department of Computer Science 和 Operations Research at the 蒙特利尔大学 和...的科学总监

Open南粤风采36选7引入了DALL·E:一种可通过文本描述创建图像的神经网络

Open南粤风采36选7最近训练了一个名为DALL·E的神经网络,该神经网络通过文本描述为自然语言可表达的各种概念创建图像。  可以教一个广泛的神经网络来使用GPT-3模型执行各种文本生成任务。使用图像GPT-3,可以使用同一神经网络生成图像...

研究人员介绍了用于药物再利用的深度学习框架

什么是药物利用? Drug repurposing involves investigating existing drugs for new therapeutic purposes. It is a useful approach to distinguish new uses for existing drugs, providing a quicker transition from bench to bedside. For example, earlier Botox injections were accepted to treat crossed eyes. However, they are now used to treat migraines 和...

研究人员检查三种内在动机类型,以激发强化学习(RL)代理的内在目标

强化学习(RL)使工具能够直接从高角度图像输入(例如运动,机器人操纵和游戏)中做出决策并解决未知环境中的复杂问题。但是,这些成功是建立在对手工制作的奖励功能进行深入监督的基础上的。代理商会根据他们的表现受到奖励和惩罚,并最终获得奖励。

脸书 南粤风采36选7推出了DeiT(数据高效型图像变压器):一种训练计算机视觉模型的新技术

Facebook 南粤风采36选7开发了一种称为 数据高效的图像变压器(DeiT) 训练利用变压器的计算机视觉模型来解锁人工智能许多领域的重大进步。  DeiT requires far fewer data 和 far fewer computing resources to produce a high-performance image classification model. In training a DeiT model with just a single...

斯坦福大学研究人员推出LUCIDGames,这是一种可以预测和规划自动驾驶汽车自适应轨迹的计算技术

斯坦福大学的研究人员最近推出了LUCIDGames, 计算技术 to predict 和 plan adaptive trajectories for autonomous vehicles. This technique integrates an algorithm based on game theory 和 an estimation method. 人们通常可以找出其他驱动因素' goals in their surroundings 和 negotiate decisions, for example, who goes first at a given intersection. In...

Understanding 的 Memorization Of Data Including Personal Identifiable Information in GPT-2 Model

The 伯克利人工智能研究 (B南粤风采36选7R)评估了多大的语言模型 memorize and regurgitate their training data's rare snippets in a recent paper. The focus was on GPT-2 和 found that at least 0.1% of its text generations contain lengthy verbatim strings, "copy-pasted"从其培训集中的文档中获取。 对于在...上训练的语言模型,这样的记忆将是一个突出的问题。

一家印度初创公司正在使用南粤风采36选7通过电话传感器来绘制印度的坑洼

India is the seventh-largest country globally 和 has one of the world's largest road networks, with 59 lakh km of road length. Potholes in India have become so common that drivers have learned to spot them 和 violently avoid them. However, this causes further accidents. Pothole death has been increasing because of heavy traffic 和 water on...

这个大学交流平台,‘InSpace’,在聊天中使用TensorFlow.js作为毒性过滤器

InSpace is a virtual communication 和 learning platform. It helps people interact, collaborate, 和 educate in familiar physical ways, but in a virtual world. It is designed to experience the fluid, personal, 和 interactive nature of a real classroom. It helps participants break free of “Brady Bunch” boxes in existing conference solutions to create a fun, natural, 和 engaging environment...

使用CNN和变压器将感应图像偏置编码为模型的新方法

Researchers at Heidelberg University have recently proposed a novel method to efficiently code inductive image biases into models while retaining all transformers’ flexibility. This approach combines the inductive bias’s effectiveness in convolutional neural networks (CNNs) with transformers’ expressivity to model 和 synthesize high-resolution images. 变形金刚的局限性 变压器已显示出令人鼓舞的结果...

深心 Introduces MuZero That Achieves Superhuman 性能 In Tasks Without Learning 的ir Underlying Dynamics

以前,DeepMind使用强化学习来教程序,以掌握各种游戏,例如中文棋盘游戏'Go,'日本战略游戏'Shogi,' chess, 和 challenging Atari video games, where earlier 南粤风采36选7 programs were taught the rules first during training. DeepMind引入了MuZero(一种通过结合基于树的搜索...
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