Xilinx Expands into Wide Range of Vision Guided Machine Learning Applications with reVISIONTM

ثبت نشده
چکیده

MACHINE LEARNING: FROM EDGE TO CLOUD Machine learning applications are rapidly expanding across a growing number of end markets, resident at the edge, in the cloud, or a hybrid where edge processing is combined with access to cloud-based data analytics. For the cloud, Xilinx recently introduced the Reconfiguration Acceleration Stack (launched November 2016), targeting a wide range of compute acceleration applications that include machine learning inference. For the edge, Xilinx is now announcing a significant expansion into a wide range of vision guided machine learning applications with the Xilinx® reVISIONTM stack. The new reVISION stack enables a much broader set of embedded software and systems engineers, with little or no hardware design expertise to develop vision guided machine learning applications easier and faster with Xilinx technology.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Field Programmable Gate Array–based Implementation of an Improved Algorithm for Objects Distance Measurement (TECHNICAL NOTE)

In this work, the design of a low-cost, field programmable gate array (FPGA)-based digital hardware platform that implements image processing algorithms for real-time distance measurement is presented. Using embedded development kit (EDK) tools from Xilinx, the system is developed on a spartan3 / xc3s400, one of the common and low cost field programmable gate arrays from the Xilinx Spartan fami...

متن کامل

End-to-End Training of Deep Visuomotor Policies

Policy search methods can allow robots to learn control policies for a wide range of tasks, but practical applications of policy search often require hand-engineered components for perception, state estimation, and low-level control. In this paper, we aim to answer the following question: does training the perception and control systems jointly end-toend provide better performance than training...

متن کامل

DARWIN: a framework for machine learning and computer vision research and development

We present an open-source platform-independent C++ framework for machine learning and computer vision research. The framework includes a wide range of standard machine learning and graphical models algorithms as well as reference implementations for many machine learning and computer vision applications. The framework contains Matlab wrappers for core components of the library and an experiment...

متن کامل

Computer Vision for Microscopy Applications

The tremendous growth in digital imagery has introduced the need for accurate image analysis and classification. The applications include content based image retrieval in the World Wide Web and digital libraries (Dong & Yang, 2002; Heidmann, 2005; Smeulders et al., 2000; Veltkamp et al., 2001) scene classification (Huang et al., 2005; Jiebo et al., 2005), face recognition (Jing & Zhang, 2006; P...

متن کامل

Fault Detection of Anti-friction Bearing using Ensemble Machine Learning Methods

Anti-Friction Bearing (AFB) is a very important machine component and its unscheduled failure leads to cause of malfunction in wide range of rotating machinery which results in unexpected downtime and economic loss. In this paper, ensemble machine learning techniques are demonstrated for the detection of different AFB faults. Initially, statistical features were extracted from temporal vibratio...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017