Megha Daga, Senior Technical Marketing Manager at Cadence, presents the “Neural Network Compiler: Enabling Rapid Deployment of DNNs on Low-Cost, Low-Power Processors” tutorial at the May 2018 Embedded Vision Summit. The use of deep neural networks (DNNs) has accelerated in recent years, with DNNs making their way into diverse commercial products. But DNNs consume vast […]
Bernhard Friebe, Senior Director of Marketing for the Programmable Solutions Group at Intel, presents the “Enabling Software Developers to Harness FPGA Compute Accelerators” tutorial at the May 2018 Embedded Vision Summit. FPGAs play a critical part in heterogeneous compute platforms as flexible, reprogrammable, multi-function accelerators. They enable custom-hardware performance with the programmability of software. The
LETTER FROM THE EDITOR Dear Colleague, Lattice Semiconductor will deliver the free webinar “Architecting Always-On, Context-Aware, On-Device AI Using Flexible Low-power FPGAs” on October 30, 2018 at 9 am Pacific Time, in partnership with the Embedded Vision Alliance. The webinar will be presented by Deepak Boppana, the company’s Senior Director of Marketing, and Gordon Hands,
Embedded Vision Insights: September 18, 2018 Edition Read More +
Pavan Kumar, Co-founder and CTO at Cocoon Cam, presents the "Leveraging Cloud Computer Vision for a Real-time Consumer Product" tutorial at the May 2018 Embedded Vision Summit. The capabilities of cloud computing are expanding rapidly. At the same time, cloud computing costs are falling. This makes it increasingly attractive to implement computer vision in the
Mohammad Musa, the Founder and CEO of Deepen AI, presents the “Introduction to LiDAR for Machine Perception” tutorial at the May 2018 Embedded Vision Summit. LiDAR sensors use pulsed laser light to construct 3D representations of objects and terrain. Recently, interest in LiDAR has grown, for example for generating high-definition maps required for autonomous vehicles
“Introduction to LiDAR for Machine Perception,” a Presentation from Deepen AI Read More +
Mario Munich, Senior Vice President of Technology at iRobot, presents the “Intelligent Consumer Robots Powering the Smart Home” tutorial at the May 2018 Embedded Vision Summit. The Internet Of Things (IoT) has rapidly developed in the past few years, enabled by affordable electronics components and powerful embedded microprocessors, ubiquitous internet access and WiFi in the
“Intelligent Consumer Robots Powering the Smart Home,” a Presentation from iRobot Read More +
Vivienne Sze, Associate Professor at MIT, presents the “Approaches for Energy Efficient Implementation of Deep Neural Networks” tutorial at the May 2018 Embedded Vision Summit. Deep neural networks (DNNs) are proving very effective for a variety of challenging machine perception tasks. But these algorithms are very computationally demanding. To enable DNNs to be used in
Arunesh Roy, Radar Algorithms Architect at NXP Semiconductors, presents the “Understanding Automotive Radar: Present and Future” tutorial at the May 2018 Embedded Vision Summit. Thanks to its proven, all-weather range detection capability, radar is increasingly used for driver assistance functions such as automatic emergency braking and adaptive cruise control. Radar is considered a crucial sensing
Peter Corcoran, co-founder of FotoNation (now a core business unit of Xperi) and lead principle investigator and director of C3Imaging (a research partnership between Xperi and the National University of Ireland, Galway), presents the “Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – Example Methodologies & Use Cases” tutorial at the May 2018 Embedded Vision Summit. Deep
Company introduces the architecture of the first in a new breed of neural network acceleration SoCs that puts artificial intelligence at the edge and enterprise San Francisco – 10 September 2018: BrainChip Holdings Ltd. (“BrainChip” or the “Company”) (ASX: BRN), the leading neuromorphic computing company, today establishes itself as the first company to bring a
BrainChip Announces the Akida Architecture, a Neuromorphic System-on-Chip Read More +
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