Faster time-to-production for computer vision AI on Arm powered edge devices

Faster time-to-production for computer vision AI on Arm powered edge devices
by Admin on 02-08-2022 at 12:00 am

Faster time-to-production for computer vision AI on Arm powered edge devices, but just how fast is fast?
Speakers:
Davis Sawyer: Cofounder and Chief Product Officer
Charles Marsh: Chief Commercial Officer

When it comes to the deployment of AI applications, it’s never as easy as it

Read More

AI at the Edge No Longer Means Dumbed-Down AI

AI at the Edge No Longer Means Dumbed-Down AI
by Bernard Murphy on 01-13-2022 at 6:00 am

face recognition

One aspect of received wisdom on AI has been that all the innovation starts in the big machine learning/training engines in the cloud. Some of that innovation might eventually migrate in a reduced/ limited form to the edge. In part this reflected the newness of the field. Perhaps also in part it reflected need for prepackaged one-size-fits-many… Read More


New Processor Helps Move Inference to the Edge

New Processor Helps Move Inference to the Edge
by Tom Simon on 08-10-2020 at 10:00 am

MIPI IP from Mixel

Many of the most compelling applications for Artificial Intelligence (AI) and Machine Learning (ML) are found on mobile devices and when looking at the market size in that arena, it is clear that this is an attractive segment. Because of this, we can expect to see many consumer devices having low power requirements at the edge with… Read More


SiFive’s Approach to Embedding Intelligence Everywhere

SiFive’s Approach to Embedding Intelligence Everywhere
by Tom Simon on 04-27-2020 at 6:00 am

SiFive Embedding Intelligence

Before the advent of RISC-V, designers looking for embedded processors were effectively limited to a handful of proprietary processors using ISAs from decades ago. While the major ISAs are being updated and enhanced, they also are facing limitations from many decisions made over many years.  RISC-V was conceived with a clean… Read More


TinyML Makes Big Impact in Edge AI Applications

TinyML Makes Big Impact in Edge AI Applications
by Tom Simon on 02-12-2020 at 10:00 am

TimyML ECM3532 Architecture

Machine Learning (ML) has become extremely important for many computing applications, especially ones that involve interacting with the physical world. Along with this trend has come the development of many specialized ML processors for cloud and mobile applications. These chips work fine in the cloud or even in cars or phones,… Read More


Segmenting the Machine-Learning Hardware Market

Segmenting the Machine-Learning Hardware Market
by Bernard Murphy on 03-13-2019 at 12:00 pm

One of the great pleasures in what I do is to work with people who are working with people in some of the hottest design areas today. A second-level indirect to be sure but that gives me the luxury of taking a broad view. A recent discussion I had with Kurt Shuler (VP Marketing at Arteris IP) is in this class. As a conscientious marketing… Read More


Eta Compute Receives Two Awards from ARM at TechCon

Eta Compute Receives Two Awards from ARM at TechCon
by Tom Simon on 11-19-2018 at 7:00 am

Many startups set out with the goal of accomplishing a technical feat that was previously considered impossible. Quite frankly most do not succeed. Yet, occasionally a company comes along that succeeds with a game changing breakthrough. ETA Compute has done just this. Yet, even more impressively, this 3-year-old company has… Read More


ARM Turns up the Heat in Infrastructure

ARM Turns up the Heat in Infrastructure
by Bernard Murphy on 10-18-2018 at 7:00 am

I don’t know if it was just me but I left TechCon 2017 feeling, well, uninspired. Not that they didn’t put on a good show with lots of announcements, but it felt workman-like. From anyone else it would have been a great show, but this is TechCon. I expect to leave with my mind blown in some manner and it wasn’t. I wondered if the SoftBank … Read More