tag: training

Enhancing Datasets For Artificial Intelligence Through Model-Based Methods
By Dirk Mayer - 10 Feb, 2022 - Comments: 0

By Dirk Mayer and Ulf Wetzker Industrial plants and processes are now digitized and networked, and AI can be used to evaluate the data generated by those facilities to increase productivity and quality. Machine learning (ML) methods can be applied to: Product quality classification in complex production processes. Condition monitoring of technical systems, which is used, for examp... » read more

HBM2E Raises The Bar For Memory Bandwidth
By Rambus - 10 Nov, 2021 - Comments: 0

AI/ML training capabilities are growing at a rate of 10X per year driving rapid improvements in every aspect of computing hardware and software. HBM2E memory is the ideal solution for the high bandwidth requirements of AI/ML training, but entails additional design considerations given its 2.5D architecture. Designers can realize the full benefits of HBM2E memory with the silicon-proven memory s... » read more

Using ML In EDA
By Ed Sperling - 20 Sep, 2021 - Comments: 0

Machine learning is becoming essential for designing chips due to the growing volume of data stemming from increasing density and complexity. Nick Ni, director of product marketing for AI at Xilinx, examines why machine learning is gaining traction at advanced nodes, where it’s being used today and how it will be used in the future, how quality of results compare with and without ML, and what... » read more

Tradeoffs Between Edge Vs. Cloud
By Brian Bailey - 09 Sep, 2021 - Comments: 0

Increasing amounts of processing are being done on the edge, but how the balance will change between what's computed in the cloud versus the edge remains unclear. The answer may depend as much on the value of data and other commercial reasons as on technical limitations. The pendulum has been swinging between doing all processing in the cloud to doing increasing amounts of processing at the ... » read more

Education Vs. Training
By Brian Bailey - 26 Aug, 2021 - Comments: 1

While writing my recent articles on the subject of training, a number of people pointed out that training and education are not the same thing. In a very simple sense, training is defined to be learning a skill or behavior that enables you to 'do' something, whereas education is the acquisition of knowledge from study or training. These definitions leave me cold and, in my mind, miss a very ... » read more

What Is Intern Reading Club?
By John Chawner - 12 Aug, 2021 - Comments: 0

As the summer winds down, interns are busy completing their assigned projects and preparing their end of summer presentations. These presentations have been a rite of passage for interns on the Pointwise team for many years and gives each intern a chance to show off what they learned and accomplished. And the rest of the team gets to hear all the details of what they've been working on. Anothe... » read more

Continuous Education For Engineers
By Brian Bailey - 29 Jul, 2021 - Comments: 0

Continuous education is essential for engineers, but many companies don't recognize the value or they are unwilling to provide the necessary resources. This should be a line of questioning before every new hire makes the decision about where they want to work, because it not only affects their future career, but also impacts the value they can provide to that company during the course of the... » read more

RaPiD: AI Accelerator for Ultra-low Precision Training and Inference
By Technical Paper Link - 02 Jul, 2021 - Comments: 0

Abstract—"The growing prevalence and computational demands of Artificial Intelligence (AI) workloads has led to widespread use of hardware accelerators in their execution. Scaling the performance of AI accelerators across generations is pivotal to their success in commercial deployments. The intrinsic error-resilient nature of AI workloads present a unique opportunity for performance/energy i... » read more

Challenges Of Edge AI Inference
By Vinay Mehta - 01 Jul, 2021 - Comments: 0

Bringing convolutional neural networks (CNNs) to your industry—whether it be medical imaging, robotics, or some other vision application entirely—has the potential to enable new functionalities and reduce the compute requirements for existing workloads. This is because a single CNN can replace more computationally expensive image processing, denoising, and object detection algorithms. Howev... » read more

Architectural Considerations For AI
By Brian Bailey - 24 Jun, 2021 - Comments: 2

Custom chips, labeled as artificial intelligence (AI) or machine learning (ML), are appearing on a weekly basis, each claiming to be 10X faster than existing devices or consume 1/10 the power. Whether that is enough to dethrone existing architectures, such as GPUs and FPGAs, or whether they will survive alongside those architectures isn't clear yet. The problem, or the opportunity, is that t... » read more

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