TOKYO and CAMBRIDGE, UK, April 12, 2023 — Sony Semiconductor Solutions Corporation (“SSS”) and Raspberry Pi Ltd. (“RPL”) today announced the agreement by SSS to make a strategic investment in RPL to provide a development platform for SSS’s edge AI devices to Raspberry Pi users. “Our goal is to provide new value to a variety of industries and […]
Mythic Raises $13M for Edge AI Inference
March 9, 2023 by
Austin – March 9, 2023 – AI processing company Mythic has raised $13 million in a new round of funding. Mythic’s existing investors Atreides Management, DCVC, and Lux Capital contributed to the round, along with new investors Catapult Ventures and Hermann Hauser Investment (which is led by Hermann Hauser, one of the founders of Acorn Computers and […]
AI Hardware & Edge AI Summit to Be Held September 12-14
January 26, 2023 by
Jan 26, 2023 — The combined AI Hardware & Edge AI Summit will be held September 12-14, 2023 at the Santa Clara (CA) Marriott. To find out more and to register go to: https://aihardwaresummit.com/ The conference now covers the design and deployment of ML hardware and software infrastructure across the cloud-edge continuum. Enterprise ML experts can […]
Overcoming Challenges to Deep Learning Infrastructure
November 10, 2022 by
With use cases like computer vision, natural language processing, predictive modeling, and much more, deep learning (DL) provides the kinds of far-reaching applications that change the way technology can impact human existence. The possibilities are limitless, and we’ve just scratched the surface of its potential. There are three significant obstacles for you to be aware of when designing a deep learning infrastructure: scalability, customizing for each workload, and optimizing workload performance.
Successfully Deploy Composable Infrastructure on the Edge to Improve HPC and AI Outside of Traditional Data Centers
October 31, 2022 by
Emerging CDI technologies allow you to achieve the cost and availability benefits of cloud computing using on-premises networking equipment. You also benefit from extreme flexibility, being able to dynamically recompose systems and support nearly any workload. Thanks to innovative engineering, these benefits are now available on the edge.
SiMa.ai Ships ML SoC Platform for Embedded Edge Applications
August 31, 2022 by
SAN JOSE — August 30, 2022 — Edge machine learning company SiMa.ai today announced it has begun shipping what the company said is the industry’s first purpose-built software-centric machine learning system-on-chip platform for the embedded edge – the MLSoC. The $1 trillion global embedded edge market is currently reliant on legacy technology that limits the […]
Overcome Form Factor and Field Limitations with AI/HPC Workloads on the Edge
July 11, 2022 by
In this sponsored post, our friends over at Silicon Mechanics discuss how form factor, latency, and power can all be key limitations, but find out how key advancements in technology will allow higher performance at the edge. For this discussion, the edge means any compute workloads taking place outside of both cloud and traditional on-prem data centers.
CEA-Leti Scientist Elisa Vianello Receives €3 Million ERC Grant for Nanoscale Memories
March 22, 2022 by
GRENOBLE, France – March 22, 2021 – CEA-Leti today announced that Elisa Vianello, senior scientist and Edge AI program coordinator, has received a €3 million grant from the European Research Council (ERC) to build nanoscale memory devices inspired by insect nervous systems for such applications as consumer robotics, implantable medical diagnostic microchips and wearable electronics. The […]
Hailo and CVEDIA Team for Thermal Edge AI
March 15, 2022 by
Tel Aviv and London, March 15th, 2022 – AI chipmaker Hailo has announced a partnership with edge computer vision company CVEDIA to launch thermal edge AI solutions. The joint effort will combine CVEDIA’s computer vision expertise alongside its synthetic data technology with the Hailo-8 AI processor, designed to offer edge AI solutions for such market segments as industry […]
New Supercomputer Enables Rugged, Real-Time AI at the Edge
December 20, 2021 by
[SPONSORED POST] Program managers face hard tradeoffs bringing artificial intelligence to in-the-field use cases. This whitepaper, “New Supercomputer Enables Rugged, Real-Time AI at the Edge,” describes a new AI server from One Stop Systems that shows what capabilities they should look for in portable, rugged AI deployments. The Rigel: Edge Supercomputer addresses AI in the field requirements: high-performance computing (HPC) using optimized CPUs, advanced GPUs and flash memory NVMe drives, and high-bandwidth interconnects.
