tag: neural networks

High-Level Synthesis Propels Next-Gen AI Accelerators
By Russell Klein - 20 May, 2024 - Comments: 0

Everything around you is getting smarter. Artificial intelligence is not just a data center application but will be deployed in all kinds of embedded systems that we interact with daily. We expect to talk to and gesture at them. We expect them to recognize and understand us. And we expect them to operate with just a little bit of common sense. This intelligence is making these systems not just ... » read more

Fundamental Issues In Computer Vision Still Unresolved
By Karen Heyman - 02 May, 2024 - Comments: 1

Given computer vision’s place as the cornerstone of an increasing number of applications from ADAS to medical diagnosis and robotics, it is critical that its weak points be mitigated, such as the ability to identify corner cases or if algorithms are trained on shallow datasets. While well-known bloopers are often the result of human decisions, there are also fundamental technical issues that ... » read more

Research Bits: April 30
By Jesse Allen - 30 Apr, 2024 - Comments: 0

Sound waves in optical neural networks Researchers from the Max Planck Institute for the Science of Light and Massachusetts Institute of Technology found a way to build reconfigurable recurrent operators based on sound waves for photonic machine learning. They used light to create temporary acoustic waves in an optical fiber, which manipulate subsequent computational steps of an optical rec... » read more

In-Memory Computing: Techniques for Error Detection and Correction
By Technical Paper Link - 16 Apr, 2024 - Comments: 0

A new technical paper titled "Error Detection and Correction Codes for Safe In-Memory Computations" was published by researchers at Robert Bosch, Forschungszentrum Julich, and Newcastle University. Abstract "In-Memory Computing (IMC) introduces a new paradigm of computation that offers high efficiency in terms of latency and power consumption for AI accelerators. However, the non-idealities... » read more

Optimizing Event-Based Neural Network Processing For A Neuromorphic Architecture
By Technical Paper Link - 28 Mar, 2024 - Comments: 0

A new technical paper titled "Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration" was published by imec, TU Delft and University of Twente. Abstract "Neuromorphic processors promise low-latency and energy-efficient processing by adopting novel brain-inspired design methodologies. Yet, current neuromorphic solutions still str... » read more

Research Bits: Feb. 6
By Jesse Allen - 06 Feb, 2024 - Comments: 0

Laser printer for photonic circuits Researchers from the University of Washington and University of Maryland propose a faster, cheaper way to fabricate and reconfigure photonic integrated circuits. The method uses a laser writer to write, erase, and modify circuits into a thin film of phase-change material similar to what is used for recordable CDs and DVDs. The researcher say the method co... » read more

Research Bits: Jan. 23
By Jesse Allen - 23 Jan, 2024 - Comments: 0

Memristor-based Bayesian neural network Researchers from CEA-Leti, CEA-List, and CNRS built a complete memristor-based Bayesian neural network implementation for classifying types of arrhythmia recordings with precise aleatoric and epistemic uncertainty. While Bayesian neural networks are useful for at sensory processing applications based on a small amount of noisy input data because they ... » read more

Novel Neuromorphic Artificial Neural Network Circuit Architecture
By Technical Paper Link - 15 Jan, 2024 - Comments: 0

A technical paper titled “Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systems” was published by researchers at CEA-LETI Université Grenoble Alpes, University of Zurich and ETH Zurich. Abstract: "The brain’s connectivity is locally dense and globally sparse, forming a small-world graph—a principle prevalent in the evolution of various species, sugg... » read more

Memory Devices-Based Bayesian Neural Networks For Edge AI
By Technical Paper Link - 20 Dec, 2023 - Comments: 0

A new technical paper titled "Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks" was published by researchers at Université Grenoble Alpes, CEA, LETI, and CNRS. Abstract: "Safety-critical sensory applications, like medical diagnosis, demand accurate decisions from limited, noisy data. Bayesian neural networks excel at such tasks, offering... » read more

Neural Network Model Quantization On Mobile
By Roberto Lopez Mendez - 09 Nov, 2023 - Comments: 0

The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in the context of neural network (NN) models, as the process of reducing the precision of the weights, biases, and activations. Moving from floating-point representations to low-precision fixed intege... » read more

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