tag: neural networks

Neuromorphic HW Fabric That Supports A Recently Proposed Class of Stochastic Neural Network
By Technical Paper Link - 25 May, 2022 - Comments: 0

New research paper titled "Neural sampling machine with stochastic synapse allows brain-like learning and inference" from University of Notre Dame and Department of Cognitive Sciences, University of California Irvine. Abstract "Many real-world mission-critical applications require continual online learning from noisy data and real-time decision making with a defined confidence level. Brain-... » read more

Performing Edge Detection With Oscillatory Neural Networks as a Hetero-associative Memory
By Technical Paper Link - 23 May, 2022 - Comments: 0

New research paper titled "Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection" from LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier. Abstract "The increasing amount of data to be processed on edge devices, such as cameras, has motivated Artificial Intelligence (AI) integration at the edge. Typical image processing me... » read more

New Neural Processors Address Emerging Neural Networks
By Gordon Cooper - 05 May, 2022 - Comments: 0

It’s been ten years since AlexNet, a deep learning convolutional neural network (CNN) model running on GPUs, displaced more traditional vision processing algorithms to win the ImageNet Large Scale Visual Recognition Competition (ILSVRC). AlexNet, and its successors, provided significant improvements in object classification accuracy at the cost of intense computational complexity and large da... » read more

Inverse Design of Inflatable Soft Membranes Through Machine Learning
By Technical Paper Link - 27 Jan, 2022 - Comments: 0

Abstract "Across fields of science, researchers have increasingly focused on designing soft devices that can shape-morph to achieve functionality. However, identifying a rest shape that leads to a target 3D shape upon actuation is a non-trivial task that involves inverse design capabilities. In this study, a simple and efficient platform is presented to design pre-programmed 3D shapes starting... » read more

Hybrid architecture based on two-dimensional memristor crossbar array and CMOS integrated circuit for edge computing
By Technical Paper Link - 27 Jan, 2022 - Comments: 0

Abstract "The fabrication of integrated circuits (ICs) employing two-dimensional (2D) materials is a major goal of semiconductor industry for the next decade, as it may allow the extension of the Moore’s law, aids in in-memory computing and enables the fabrication of advanced devices beyond conventional complementary metal-oxide-semiconductor (CMOS) technology. However, most circuital demons... » read more

Is Programmable Overhead Worth The Cost?
By Brian Bailey - 13 Jan, 2022 - Comments: 0

Programmability has fueled the growth of most semiconductor products, but how much does it actually cost? And is that cost worth it? The answer is more complicated than a simple efficiency formula. It can vary by application, by maturity of technology in a particular market, and in the context of much larger systems. What's considered important for one design may be very different for anothe... » read more

Always-On DSPs
By Ed Sperling - 28 Dec, 2021 - Comments: 0

There are tradeoffs between powering circuits down to save power and waking them up to respond to voice and visual commands. Prakash Madhvapathy, director of product marketing and product management at Cadence, talks about the best ways to deploy digital signal processors, why multiple DSPs are often better than just one, and what penalties there are for various approaches. » read more

Power/Performance Bits: Dec. 14
By Jesse Allen - 14 Dec, 2021 - Comments: 0

Improved digital sensing Researchers from Imperial College London and Technical University of Munich propose a technique to improve the capability of many different types of sensors. The method addresses voltage limits in analog-to-digital converters and the saturation that results in poor quality when an incoming signal exceeds those limits. “Our new technique lets us capture a fuller ra... » read more

Gaps In The AI Debug Process
By Brian Bailey - 23 Nov, 2021 - Comments: 0

When an AI algorithm is deployed in the field and gives an unexpected result, it's often not clear whether that result is correct. So what happened? Was it wrong? And if so, what caused the error? These are often not simple questions to answer. Moreover, as with all verification problems, the only way to get to the root cause is to break the problem down into manageable pieces. The semico... » read more

Solving Real World AI Productization Challenges With Adaptive Computing
By Nick Ni - 08 Nov, 2021 - Comments: 0

The field of artificial intelligence (AI) moves swiftly, with the pace of innovation only accelerating. While the software industry has been successful in deploying AI in production, the hardware industry – including automotive, industrial, and smart retail – is still in its infancy in terms of AI productization. Major gaps still exist that hinder AI algorithm proof-of-concepts (PoC) from b... » read more

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