EdgeCortix

EdgeCortix Expands Leadership Team by Appointing Jeffry A. Milrod as Vice President of Product Engineering

Former BittWare CEO & President joins EdgeCortix, to support growth of the new SAKURA family of Edge Focused AI and 5G acceleration solutions. Tokyo, Japan., April 21st, 2023 — EdgeCortix® Inc., the innovative Edge Artificial Intelligence (AI) Platform company, focused on delivering class-leading compute efficiency and ultra-low latency for AI inference; announced, today the appointment […]

EdgeCortix Expands Leadership Team by Appointing Jeffry A. Milrod as Vice President of Product Engineering Read More +

EdgeCortix Expands Delivery of its Industry Leading SAKURA-I AI Co-processor Devices and MERA Software Suite

High performance, low latency, low power, edge focused AI platform, delivered to Early Access Program Members worldwide Tokyo, Japan., April 20th, 2023 /PRNewswire/ — EdgeCortix®Inc., the innovative Edge Artificial Intelligence (AI) Platform company, focused on delivering class-leading compute efficiency and ultra-low latency for AI inference; announced, it is shipping its industry leading, energy-efficient, turn-key, AI

EdgeCortix Expands Delivery of its Industry Leading SAKURA-I AI Co-processor Devices and MERA Software Suite Read More +

EdgeCortix Expands its Strategic Advisory Board with the Appointment of Dr. Atsushi Sunami

President of Sasakawa Peace Foundation and Member of the expert group for Economic Security Policy, Government of Japan joins the EdgeCortix Strategic Advisory Board Tokyo, Japan., October 24, 2022 /PRNewswire/ — EdgeCortix®, the innovative Edge Artificial Intelligence (AI) Platform as a service company, focused on delivering class-leading compute efficiency and latency for edge AI inference; announced

EdgeCortix Expands its Strategic Advisory Board with the Appointment of Dr. Atsushi Sunami Read More +

EdgeCortix Collaborates with Renesas to Deliver Enhanced Feature-Rich Compiler for the Renesas DRP-AI AI-Accelerator

TOKYO, July 12, 2022 /PRNewswire/ — EdgeCortix® Inc., an innovative fabless semiconductor design company with a software first approach, focused on delivering class-leading compute efficiency and latency for edge artificial intelligence (AI) inference, announced today a collaboration with Renesas Electronics Corporation (Renesas). Through this collaboration, EdgeCortix has taken its industry leading heterogeneous platform-based compiler framework

EdgeCortix Collaborates with Renesas to Deliver Enhanced Feature-Rich Compiler for the Renesas DRP-AI AI-Accelerator Read More +

EdgeCortix Launches Industry Specific Strategic Advisory Board with an Inaugural Appointment of Stanley Crow, Former CEO, Northrop Grumman Japan

EdgeCortix Appoints Former CEO of Northrop Grumman Japan to its Defense Industry Aligned Strategic Advisory Board ARLINGTON, Va., May 17, 2022 /PRNewswire/ — EdgeCortix®Inc., the innovative fabless semiconductor design company with a software first approach, focused on delivering class-leading compute efficiency and latency for edge artificial intelligence (AI) inference; announced the launch and initial appointment to

EdgeCortix Launches Industry Specific Strategic Advisory Board with an Inaugural Appointment of Stanley Crow, Former CEO, Northrop Grumman Japan Read More +

EdgeCortix Announces SAKURA AI Co-processor Delivering Industry Leading Low Latency and Energy Efficiency

TOKYO, April 21, 2022 /PRNewswire/ — EdgeCortix® Inc., the innovative fabless semiconductor design company with a software first approach, focused on delivering class-leading compute efficiency and latency for edge artificial intelligence (AI) inference; unveiled the architecture, performance metrics and delivery timing for its new industry leading, energy-efficient, AI inference co-processor. Today, at the prestigious TechInsights’

EdgeCortix Announces SAKURA AI Co-processor Delivering Industry Leading Low Latency and Energy Efficiency Read More +

OpenFive and EdgeCortix Collaborate on an AI Accelerator Custom SoC

Collaborating to bring to market a new high performance and low power edge AI processor March 7, 2022 – EdgeCortix® Inc., the AI-focused fabless semiconductor company that enables best-in-class power-efficiency with near cloud-level performance across infrastructure and embedded edge devices, and OpenFive, a leading provider of custom silicon solutions with differentiated IP, today announced they

OpenFive and EdgeCortix Collaborate on an AI Accelerator Custom SoC Read More +

Energy-efficient AI Semiconductor Company EdgeCortix Closes Series A Funding

TOKYO, Feb. 28, 2022 /PRNewswire/ — EdgeCortix® the AI-focused fabless semiconductor company today announced that it has closed over $8 Million USD in series A funding.  EdgeCortix’s reconfigurable Dynamic Neural Accelerator® processor architecture and AI acceleration SoC SAKURA™ brings best-in-class power-efficiency with near cloud-level performance across infrastructure and embedded edge devices.  EdgeCortix solutions offer lower latencies

Energy-efficient AI Semiconductor Company EdgeCortix Closes Series A Funding Read More +

EdgeCortix Demonstration of the Dynamic Neural Accelerator F-series and MERA Compiler for Low-latency Deep Neural Network Inference

Hamid Zohouri, Director of Product at EdgeCortix, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Zohouri demonstrates the company’s Dynamic Neural Accelerator (DNA) F-series architecture and MERA compiler for low-latency deep neural network (DNN) inference. EdgeCortix’s DNA architecture is a runtime-reconfigurable, highly scalable and power-efficient

EdgeCortix Demonstration of the Dynamic Neural Accelerator F-series and MERA Compiler for Low-latency Deep Neural Network Inference Read More +

“Dynamic Neural Accelerator and MERA Compiler for Low-latency and Energy-efficient Inference at the Edge,” a Presentation from EdgeCortix

Sakyasingha Dasgupta, the founder and CEO of EdgeCortix, presents the “Dynamic Neural Accelerator and MERA Compiler for Low-latency and Energy-efficient Inference at the Edge” tutorial at the May 2021 Embedded Vision Summit. Achieving high performance and power efficiency for machine learning inference at the edge requires maintaining high chip utilization, even with a batch size

“Dynamic Neural Accelerator and MERA Compiler for Low-latency and Energy-efficient Inference at the Edge,” a Presentation from EdgeCortix Read More +

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