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Radar to the Rescue: How Ainstein is Improving Our Safety through mmWave IoT Sensing

In this week’s Fish Fry podcast, we start things off with a very special News You May Have Missed. In this segment, we take a closer look at how a team of researchers at the University of California San Diego School of Medicine (in collaboration with IBM) have identified a “lonely” speech pattern using machine-learning models that can be used to detect loneliness in older adults.   … Read More → "Radar to the Rescue: How Ainstein is Improving Our Safety through mmWave IoT Sensing"

The JOYCE Project to Equip Machines with Human-Like Perception

Did you ever watch the British television science fiction comedy Red Dwarf? The stage for this tale is the eponymous spaceship Red Dwarf, which is an enormous mining vessel that is 6 miles (10 km) long, 5 miles (8 km) tall, and 4 miles (6 km) wide. Series 1 through Series 8 originally aired on BBC 2 between 1988 and 1999 (somewhat reminiscent … Read More → "The JOYCE Project to Equip Machines with Human-Like Perception"

A Brave New World of Analog Artificial Neural Networks (AANNs)

It can be a funny old world when you come to think about it. I remember when I was a young engineer and industry pundits portentously predicted the passing of analog electronics, which resulted in students not wanting to study a dying field, which resulted in universities not bothering to offer courses. Perhaps not surprisingly, the fact that analog continued to go from strength to strength … Read More → "A Brave New World of Analog Artificial Neural Networks (AANNs)"

Microchip’s New CoaXPress 2.0 Chips Speed Machine Vision

It’s funny how, when you keep on hearing stories about companies heading in one direction, the news that someone is going the other way makes you sit up and pay attention. It reminds me of that old saying: “‘Dog bites a man’ is not news; ‘Man bites a dog’ is news.”

In my case, for the past couple of years I’ve been talking with companies … Read More → "Microchip’s New CoaXPress 2.0 Chips Speed Machine Vision"

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chalk talks
Benefits of FPGAs & eFPGA IP in Futureproofing Compute Acceleration   In the quest to accelerate and optimize today’s computing challenges such as AI inference, our system designs have to be flexible above all else. At the confluence of speed and flexibility are today’s new FPGAs and e-FPGA IP. In this episode of Chalk Talk, Amelia Dalton chats with Mike Fitton from Achronix about … Read More → "Benefits of FPGAs & eFPGA IP in Futureproofing Compute Acceleration"
Smart Embedded Vision with PolarFire FPGAs — Microchip and Mouser Electronics   In embedded vision applications, doing AI inference at the edge is often required in order to meet performance and latency demands. But, AI inference requires massive computing power, which can exceed our overall power budget. In this episode of Chalk Talk, Amelia Dalton talks to Avery Williams of Microchip about using FPGAs to … Read More → "Smart Embedded Vision with PolarFire FPGAs — Microchip and Mouser Electronics"
Scaling Up Vision and AI DSP Performance  For high-performance, low-power processing of AI and machine vision algorithms, latency can be critical. In this episode of Chalk Talk, Amelia Dalton chats with Pulin Desai from Cadence Design Systems about the using the new Vision Q6 processor core for embedded vision and AI applications. Click here for more information about Vision DSPs for … Read More → "Scaling Up Vision and AI DSP Performance"
Deep Learning with MATLAB   Many engineers want to take advantage of deep learning in their applications, but don’t have the AI background needed to develop the models. MathWorks is out to change all that. In this episode of Chalk Talk, Amelia Dalton chats with Girish Venkataramani from the MathWorks about using MATLAB to build deep learning applications. … Read More → "Deep Learning with MATLAB"
Scaling Embedded Deep Learning Inference Performance with Dedicated Neural Network DSP   Neural networks are taking over a broad range of exciting applications these days. But, the amount of computation required for neural network inferencing can be daunting. In this episode of Chalk Talk, Amelia Dalton chats with Pulin Desai of Cadence Design Systems about some new processor IP designed specifically for neural network inferencing. … Read More → "Scaling Embedded Deep Learning Inference Performance with Dedicated Neural Network DSP"
Industrial IoT – Smart FactoryIndustrial Internet of Things (IIoT) has a set of challenging requirements for designers. In this episode of Chalk Talk, Amelia Dalton chats with Dan Isaacs of Xilinx about meeting the security, performance, and flexibility demands of IIoT. Click here for more information about Industrial IoT Solutions powered by Xilinx.