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The listing below showcases the most recently published Embedded Vision Academy content associated with various Embedded Vision Alliance member companies. Reference the links on the right side of this page to access the full suite of embedded vision content, sorted by member company

AMD

Allen Rush of AMD delivers a business presentation at the May 2016 Embedded Vision Summit.

Academy

The substantial parallel processing resources in modern GPUs makes them a natural choice for implementing vision-processing functions.

Academy
Analog Devices

Rajesh Mahapatra of Analog Devices delivers a technical presentation at the May 2014 Embedded Vision Summit.

Academy

Attendees of the 2012 HOT CHIPS symposium recently learned about Analog Devices’ new BF60x family of video and vision processors.

Academy
ARM

This chapter describes how to re-use the sample implementation and test the performance of optimizations.

Academy

This chapter describes the requirements to run this sample and the example test platform which generates the results that this guide shows.

Academy
Basler

Gerrit Fischer of Basler delivers a business presentation at the May 2016 Embedded Vision Summit.

Academy
BDTI

Deep learning has been enabled by, among other things, the steadily increasing processing "muscle" of CPUs aided by co-processors.

Academy

OpenVX enables embedded vision application software developers to efficiently harness the processing resources available in SoCs and systems

Academy
Cadence

Deep learning has been enabled by, among other things, the steadily increasing processing "muscle" of CPUs aided by co-processors.

Academy

Dr. Chris Rowen of Cadence delivers a business presentation at the May 2016 Embedded Vision Summit.

Academy
CEVA

Ben Weiss of CEVA delivers a technical presentation at the May 2016 Embedded Vision Summit.

Academy

Yair Siegel of CEVA delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

Academy
Embedded Vision Alliance

Nik Gagvani of CheckVideo delivers a presentation at the September 2016 Embedded Vision Alliance Member Meeting.

Academy

Vivienne Sze of MIT delivers a presentation at the September 2016 Embedded Vision Alliance Member Meeting.

Academy
Imagination Technologies

Paul Brasnett of Imagination Technologies delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

Academy

The substantial parallel processing resources in modern GPUs makes them a natural choice for implementing vision-processing functions.

Academy
Infineon

VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.

Academy
Intel

Anavai Ramesh of Intel and Avinash Nehemiah of MathWorks deliver a technical presentation at the May 2016 Embedded Vision Summit.

Academy

Bill Jenkins of Intel (Altera) delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

Academy
itSeez3D

Yury Gorbachev of Itseez delivers a technical presentation at the May 2016 Embedded Vision Summit.

Academy

OpenVX enables embedded vision application software developers to efficiently harness the processing resources available in SoCs and systems

Academy
LUXOFT

Alexey Rybakov of Luxoft delivers a technical presentation at the May 2016 Embedded Vision Summit.

Academy
MathWorks

Anavai Ramesh of Intel and Avinash Nehemiah of MathWorks deliver a technical presentation at the May 2016 Embedded Vision Summit.

Academy

Avinash Nehemiah of MathWorks delivers a technical presentation at the May 2014 Embedded Vision Summit.

Academy
Mentor Graphics

Advanced memory technologies such as Mentor Graphics' coolSRAM-1T are valuable in embedded vision designs.

Academy
Movidius

VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.

Academy

Drones are a rapidly growing market for both consumer and commercial applications, and they increasingly leverage embedded vision technology

Academy
NVIDIA

Drones are a rapidly growing market for both consumer and commercial applications, and they increasingly leverage embedded vision technology

Academy

Elif Albuz of NVIDIA delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

Academy
NXP

Drones are a rapidly growing market for both consumer and commercial applications, and they increasingly leverage embedded vision technology

Academy

Tom Wilson of NXP Semiconductors delivers a business presentation at the May 2016 Embedded Vision Summit.

Academy
ON Semiconductor

VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.

Academy

Robin Jenkin of ON Semiconductor delivers a technical presentation at the May 2016 Embedded Vision Summit.

Academy
PTC

Jay Wright of PTC delivers a presentation at the September 2016 Embedded Vision Alliance Member Meeting.

Academy
Qualcomm

Michael Mangen of Qualcomm delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

Academy

Raj Talluri of Qualcomm Technologies delivers a business presentation at the May 2016 Embedded Vision Summit.

Academy
SoftKinetic

Adding vision-processing capabilities to wearable systems both enhances existing product categories and fundamentally enables new categories

Academy

Cameras located in a vehicle's interior, coupled with cost-effective and power-efficient processors, can deliver abundant occupant benefits.

Academy
Synopsys

Seema Mirchandaney of Synopsys delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

Academy

Deep learning has been enabled by, among other things, the steadily increasing processing "muscle" of CPUs aided by co-processors.

Academy
Tend

Herman Yau of Tend delivers a technical presentation at the May 2015 Embedded Vision Summit.

Academy
Texas Instruments

Cameras installed around a vehicle exterior, along with cost-effective, powerful and energy-efficient processors, deliver numerous benefits.

Academy

Cameras located in a vehicle's interior, coupled with cost-effective and power-efficient processors, can deliver abundant occupant benefits.

Academy
videantis

VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.

Academy

Drones are a rapidly growing market for both consumer and commercial applications, and they increasingly leverage embedded vision technology

Academy
Xilinx

Nagesh Gupta of Auviz Systems delivers a technical presentation at the May 2016 Embedded Vision Summit.

Academy

Middleware libraries together with SDAccel enable software developers to program DNNs in their native C/C++ environment.

Academy