System Bits: Nov. 13


Deep learning device identifies airborne allergens To identify and measure airborne biological particles, or bioaerosols, that originate from living organisms such as plants or fungi, UCLA researchers have invented a portable device that uses holograms and machine learning. The device is trained to recognize five common allergens — pollen from Bermuda grass, oak, ragweed and spores from t... » read more

Power/Performance Bits: Nov. 13


ML identifies LED material Researchers at the University of Houston created a machine learning algorithm that can predict a material's properties to help find better host material candidates for LED lighting. One recommendation was synthesized and tested. The technique, a support vector machine regression model, was efficient enough to run on a personal computer. It scanned a list of 118,28... » read more

AI Accelerator Gyrfalcon Soars Post Stealth


Milpitas, Calif.-based startup Gyrfalcon Technology Inc. (GTI), which emerged from semi-stealth mode in September, recently announced the datacenter-focused second generation of its neural-network accelerator, which was first aimed at the endpoint. GTI is not alone: The endpoint market is growing. By 2022, 25% of endpoint devices will execute AI algorithms (inference for neural network appli... » read more

Computing Way Outside Of A Box


Mike Muller, CTO of Arm, sat down with Semiconductor Engineering to talk about changing boundaries between client and server machines, the end of Moore's Law and the impact of machine learning on chip architectures. What follows are excerpts of that conversation. SE: Are the lines blurring between what's considered a client device and what's considered a server? Muller: It's less about a ... » read more

Love and Affection in the Age of Robots


It is increasingly common to rely upon robotic devices to perform a wide range of tasks that were previously handled by humans. With robots becoming more pervasive in our lives, people are demonstrating a tendency to treat and relate to robot assistants as they would their pets and loved ones. We are beginning to project companion status on these mechanical tools. There is ample evidence tha... » read more

The Multiple Faces And Phases Of AI


AI is being used in more ways and more devices—and in more ways in those same devices—raising the level of confusion about exactly what people are talking about when they refer to AI and AI-enabled systems. AI is both a tool and a process. It also is a thing, although not even remotely close to the singularity portrayed by Arthur C. Clarke in 2001. And as it proliferates, it's becoming h... » read more

AI Begins To Reshape Chip Design


Artificial intelligence is beginning to impact semiconductor design as architects begin leveraging its capabilities to improve performance and reduce power, setting the stage for a number of foundational shifts in how chips are developed, manufactured and updated in the future. AI—and machine learning and deep learning subsets—can be used to greatly improve the functional control and pow... » read more

Always-on Face Unlock


Accurate face verification has long been considered a challenge due to the number of variables, ranging from lighting to pose and facial expression. This white paper looks at a new approach—combining classic and modern machine learning (deep learning) techniques—that achieves 98.36% accuracy, running efficiently on Arm ML-optimized platforms, and addressing key security issues such as mu... » read more

The Race To Design Larger Systems


For more than a decade, tools vendors and design houses have been talking about leveraging their tools and expertise to help design systems of systems. They're finally getting their chance. The basic idea behind this strategy has always been that issues inside any electronic system—performance, power, signal integrity, area—have all been dealt all the way down to the sub-atomic level in ... » read more

What Makes A Good AI Accelerator


The rapid growth and dynamic nature of AI and machine learning algorithms is sparking a rush to develop accelerators that can be optimized for different types of data. Where one general-purpose processor was considered sufficient in the past, there are now dozens vying for a slice of the market. As with any optimized system, architecting an accelerator — which is now the main processing en... » read more

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