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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

英伟达的新技术-称为自适应鉴别器增强(ADA)-使研究人员可以使用有限的数据集来训练AI模型

Nvidia引入了一种使用有限数据集训练AI模型的新方法。现在,只需使用一般GAN所需的最少学习材料,它就可以学习复杂的技能,无论是重建癌症组织的图像还是模仿著名画家。 英伟达(Nvidia)的研究人员已经根据来自...

深心如何使用JAX加速AI研究

JAX is a Python library developed by 谷歌 researchers for high-performance numerical computing. Its API is based on NumPy. NumPy is a collection of functions applied in scientific computing. Developers extensively adopt Python 和 NumPy, making JAX simple, flexible, 和 easy to use. JAX 和 its developing ecosystem of open source libraries have assisted 和 accelerated numerous...

TensorFlow发布其新更新:TensorFlow 2.4.0-rc4

TensorFlow最近发布了其新更新TensorFlow 2.4.0-rc4。 TensorFlow Profiler现在支持分析 多工镜像策略 现在是稳定的API,并使用 采样模式API。该策略可在多个可能具有多个GPU的工作人员之间进行同步的分布式培训。一些重大改进涉及处理同级故障以及许多可能修复的错误。

Tracking 3-D Motion using Deep Learning 和 a Structure-Aware Temporal Bilateral Filter

东北大学的研究人员提出了一种新颖的方法,可以使用深度学习和结构感知的时间双边滤波器从柔性磁通量传感器阵列中捕获3D运动数据。这种方法使跟踪活动更加有效。它可以跟踪各种运动,包括手指操纵物体,甲虫在有叶子和土壤的饲养箱内移动以及...

脸书 AI推出‘ReBeL’:一种算法,将自我强化学习和不完全信息游戏的搜索范式推广

Most AI systems excel in generating specific responses to a particular problem. Today, AI can outperform humans in various fields. For AI to do any task it is presented with; it needs to generalize, learn, 和 understand new situations as they occur without supplementary guidance. However, as humans can recognize chess 和 Poker both as games in...

普林斯顿大学学生研究员提出“素描和绘画” GAN(SAPGAN):中国山水画一代的GAN框架

The emergence 和 constant refining of 生成对抗网络 (GAN)通过AI产生了各种风格的令人印象深刻的艺术品。普林斯顿大学本科生爱丽丝·薛(Alice Xue)最近为中国山水画一代设计了GAN框架,该框架非常有效,以至于其作品无法与真实事物区分开。 According to this 论文,拟议的框架,...

Nvidia提出了一种神经对话头视频合成AI模型,使视频会议的带宽效率提高了10倍

NVIDIA researchers introduce an AI system that generates a realistic talking-head video of a person using one source image 和 a driving video. The source image encodes an individual’s appearance, 和 the driving video directs motions in the resulting video.  研究人员提出了一种纯神经渲染方法,其中将谈话视频...

优步 Engineering Releases 霍罗沃德 v0.21: New Features Include Local Gradient Aggregation For TensorFlow v1 和 v2

Horovod announces its v0.21 和 brings many powerful new features to the 霍罗沃德 community, making training deep learning models faster 和 easier than ever before. Horovod was open-sourced in 2017, 和 it has grown to become the standard solution for scaling deep learning training to hundreds of GPUs. 霍罗沃德 can reduce training times from days...

AlphaFold:DeepMind的AI系统具有重大突破,可预测蛋白质折叠

Google的DeepMind引入了AI系统AlphaFold, 可以准确预测蛋白质如何折叠成形状。 Proteins comprise strings of amino acids that are fundamental building parts of the human body. These are encoded into DNA 和 fold into multiple elaborate shapes that define their function. It is difficult to figure out the protein structure...

摩奈: An Open-Source Imaging Framework To Accelerate AI in Healthcare, Ready For Production Using 英伟达 Clara Application Framework

MONAI (the Medical Open Network for AI) is a PyTorch-based framework that contributes to AI development for healthcare issues. It is looking to address medical imaging issues with industry-specific data handling, high-performance training workflows, 和 reproducible reference implementations of state-of-the-art approaches. 摩奈 is ready for production as of April 2020, with the NVIDIA Clara 应用框架's upcoming release.
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