职位1:Intern- Deep Learning Performance Architect – Shanghai 【坐标】上海市浦东新区,二号线广兰路地铁站附近 【你会做些什么】 1. 针对架构和算法特征开发汇编级或者CUDA代码 2. 优化cuBlas、cuDNN、TensorRT的核心kernel 3. 针对未来GPU架构开发原型代码,推进下一代架构的设计和优化 【我们想要看到这样的你...
We are looking for a first-class Deep Learning Performance architect to join in us to drive the performance analysis, modelling and optimization of top Datacenter, Automotive and Client AI networks. Help building and enhancing our performance analysis infrastructure. In this role, you will analyze ...
We直聘are looking for a first-class Deep Learning Performance architect to join in us to drive the performance analysis, modelling an来自BOSS直聘d optimization of top Datacenter, Automotive and Client AI networks. Help building and enhancing our performance analysis infrastructure. In this role, you...
Field Design Engineer Intern - Beijing - job post Apple 4.14.1 星,满分 5 星 北京市 实习 您必须先创建 Indeed 账户,才能继续访问公司网站进行申请。 在公司网站上申请 职位详情此处显示了职位详情与您简介的匹配情况。 职位类型 实习 地点 北京市 完整的职位描述 Summary Posted: 2024 年...
Stanford University CS230: Deep Learning (https://cs230.stanford.edu/) Yann LeCun’s Deep Learning Course at CDS (https://cds.nyu.edu/deep-learning) UC Berkeley - Full Stack Deep Learning (https://fullstackdeeplearning.com/) New York University - PyTorch Deep Learning (https://atcold....
Deploy deep learning models onto Kneron AI accelerator. Intern or full time. 需求条件 M.S. in Computer Science, Machine Learning, Electrical Engineering, Robotics or similar field (Ph.D. is preferred). Solid understanding and experience of applying deep learning to real problems in the fields of...
The performance of AI-NT-proBNP generalized well in predicting NT-proBNP serum concentrations in the external cohorts SHIP-START-0 (R=0.642, 95 % CI 0.640–0.644) and SHIP-TREND-0 (R=0.655, 95 % CI 0.653–0.656). The generalizability remained good in the follow-up studies after five...
Developed by NVIDIA, fVDB is a deep-learning framework for sparse, large-scale, high-performance spatial intelligence. It builds NVIDIA-accelerated AI operators on top of OpenVDB to enable digital twins at reality scale, neural radiance fields, 3D generative AI, and more. Apply ...
Two further ROIs of the subcortical region—the substantia nigra pars compacta and pars reticulata—were added from the California Institute of Technology reinforcement learning atlas, version 1.1 (CIT168)69. To enable cortical branching, the angular threshold was set to a range of 60°–90°. ...
We believe that end-to-end learning leads to better performance and smaller systems. Better performance results because the internal components self-optimize to maximize overall system performance, instead of optimizing human-selected intermediate criteria, e. g., lane detection. Such criteria understanda...