On June 8th 2022, the DOD’s chief information officer, John B. Sherman, held a fireside chat with Craig Martell, DOD's chief digital and artificial intelligence officer, at the DOD Digital and AI Symposium as reported by the DOD News. The article stresses the importance of digital transformation and artificial intelligence in enabling warfighters to maintain a battlefield advantage, even as China and Russia develop their own AI for military purposes.READ MORE
On June 8th 2022, the DOD’s chief information officer, John B. Sherman, held a fireside chat with Craig Martell, DOD's chief digital and artificial intelligence officer, at the DOD Digital and AI Symposium as reported by the DOD News. The article stresses the importance of digital transformation and artificial intelligence in enabling warfighters to maintain a battlefield advantage, even as China and Russia develop their own AI for military purposes.
Artificial intelligence and machine learning in edge computing require testing data sets to provide accuracy and efficiency. How can this be done? Processing data sets and information through a model to make sure it achieves its intended purpose is done through a process known as model validation.
Between climate change and feeding the world: The world's farmers take on the vital task of supplying food to the world's ever-growing population. In this context, they face daily challenges such as the effects of climate change, rising commodity prices, or improving animal welfare, while they have to make their own production sustainable.
In this video, Braden Cooper, Product Marketing Manager at OSS, does a quick walkthrough of the OSS PCIe Gen 4 3U Short Depth Server (both AMD and Intel versions). The SDS has configurable motherboard options in a feature packed rugged server platform for GPU or FPGA accelerated computing, U.2/U.3 NVMe storage, and PCIe Gen 4 expansion.
While most AI workflows occur in the controlled environment of datacenters where servers have the HPC resources the applications need, many current AI applications require some or all the AI workflow steps to be performed out in the field, in harsh environmental conditions. Until now, companies with applications on the ‘edge’ have had to rely on low-performance hardware or deal with the latency of uploading data to the cloud; rugged edge-computing devices, like industrial PCs and IOT devices, are able to withstand the extreme environmental factors of harsh environments, but they do not come close to offering the same computational performance of servers in a datacenter. Because of this, AI applications on the ‘edge’ have had to compromise on performance, but not anymore!
Tires screeching to a halt, your car’s edge computer has predicted a collision warning and acted according to its scripted protocol without communication to a network. Edge computers of all sizes are taking the power of the data center and access of the cloud into environments where sensors and/or cameras are located.
One Stop Systems’ strategic focus is on artificial intelligence (AI) Transportables, a term self-defined by OSS to mean anything that moves or is transportable that requires the latest in technology, at the edge, operating in a harsh environment. Basically, the capabilities of the highest performance data center in the field. Though this definition incorporates a myriad of applications, one industry of focus is the use of such capabilities in autonomous or self-driving, long-haul trucks.
The words “Artificial Intelligence” may conjure up many images of science fiction books and movies. There may be many assumptions and misconceptions of how artificial intelligence is used, but artificial intelligence (AI) is predominantly used in the business world for both commercial and government applications.
The OpenVPX standards occupy a special place in deployed military compute platforms. Designed as a successor to VME64, the OpenVPX (ANSI 65) and related standards such as SOSA have offered the opportunity to package COTS systems that meet the challenging environmental and electrical requirements of military vehicles across all services. AI Transportable systems incorporate GPUs and switched fabrics that were not envisioned by the existing standard and threaten to force significant new investment in product development before deployment of next generation systems such as C4ISR.
In this video, Michael Bradley does a tour of the OSS booth at AUVSI XPONENTIAL 2022 in Orlando, FL from April 26-28. Michael discusses the products we showcased at XPONENTIAL and how they provide solutions for Edge AI for Autonomous Vehicles. OSS AI Transportable products can provide solutions for GPU acceleration, FPGA data ingest, and NVMe storage.
Let’s start with a little background for anyone that doesn’t know what AS-9100 means or why you would have it at all. AS-9100 is a quality management system, developed to address the holes that aerospace companies found in the ISO-9001 standard in the way they needed to do business for their customers. It was initially ratified in 1999, and has since gone through 4 revisions to our current version today, which is AS-9100D.
In this video, Tom Fries performs a tour of the One Stop Systems (OSS) booth at Sea Air Space (SAS) 2022 in National Harbor, MD, which took place April 4-6. Tom discusses the products we showcased at SAS, and how they provide solutions for Edge AI for the Military Theater. OSS' AI Transportable products can provide solutions for GPU acceleration, FPGA data ingest, and NVMe storage.
5G networks are the key for a worldwide digital transformation, impacting AI and edge computing as well as smart cities, while also providing high-speed data transfer in real-time for enterprises across every vertical market segment. New applications are constantly emerging on the market, taking advantage of the cellular networks’ super-low latency and much higher bandwidth.
With the well-documented shortage of semi-truck drivers currently in the United States, where do we stand in terms of developing and deploying autonomous trucks? Will autonomous long-haul trucks take jobs away from drivers? Are fully autonomous trucks safe for the roads? What does the future look like for autonomous trucks? These are all great questions. This blog will discuss all that and more, so let’s jump in and discuss it.
In this video, Jim Ison will do a quick walkthrough of the OSS 4U Pro Gen4 PCIe Expansion System. The 4U Pro is a rugged AI Transportable system that provides optimized, configurable PCIe Gen4 expansion for edge AI applications with up to 256 Gigabytes per second (GB/s) bi-directional host to expansion bandwidth and 768 GB/s aggregate system bandwidth.
Typical Artificial Intelligence workflows are well understood. The classic example is image recognition distinguishing between an image of a cat or a dog. The first step is performed by data scientists who create a model they train using large sets of tagged data. The models are iteratively refined by the data scientists to achieve higher and higher levels of accuracy. Once the refined model is trained it can be deployed and new images can be presented to it for inferencing. The AI inferencing process results in a never seen before image being classified as either a cat or a dog.
When you take a step back and look at today’s high-performance computing and AI technological ecosystem, it is a field dominated by the power of GPUs in compute acceleration. For the layperson, the term “Graphical Processing Unit” would not stand out as the core component in processing massive datasets at unprecedented speeds – with no graphics involved. The transition from CPU to GPU core computing in HPC and AI/ML applications, and the further development of GPU technologies since, is the fundamental driving force behind today’s most cutting-edge applications. Modern AI spans practically all industries including piloting the most sophisticated autonomous vehicles, detecting previously unseeable fraud patterns in the financial industry, and increasing productivity through automation in mining, oil and gas, and farming.
Independent of the administration in office, one of the top priorities for today and the next couple of decades is the deployment of Artificial Intelligence (AI) throughout all the branches of the armed forces. Many of these applications are AI Transportables requiring performance without compromise in harsh and challenging environments. This post will cover some of the driving factors, paint the picture of tomorrow and discuss how we will continue to protect our freedom with military superiority.
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