Synaptics' Brandon Bae gives the lowdown on the SYN4381 Triple Combo wireless system-on-chip.

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Flexible Touch-Sense Technology Handles Earbuds to Game Controllers

Sensor integration is key to keeping devices small as well as providing more functionality. The Synaptics FlexSense family of sensor processors captures and integrates inputs from up to four sensors in a tiny, ultra-low-power form factor.

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The machine-learning support from Synaptics' Katana SoC can visually detect actions like falling

Synaptics' Katana-based edge artificial-intelligence (AI), low-power SoC is powerful enough to analyze a video stream with machine-learning (ML) models that can visually detect actions like falling. Ananda Roy highlights this feature in the video.

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Many IoT devices depend on the cloud for executing command recognition and audio analysis. Synaptics is taking some of that functionality and delivering it on the edge, allowing for standalone operation as well as minimizing cloud interaction by doing more processing at the source. 

Shay Kamin Braun demonstrates Synaptics's DBM10L AI audio-processing functionality in the video with four individual demos. This includes user-identified command recognition as well as identifying sounds like a baby crying and breaking glass. 

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Video conferencing requires high-bandwidth, low-latency connections, but can AI help codecs deliver this connectivity more efficiently?

What you’ll learn:

Applying AI to video-conferencing devices.
What is Super-Resolution image expansion?
The impact of deep-learning networks and specter of generative adversarial networks (GANs).
Video conferencing for virtual meetings, distance learning, or socializing has exploded with the onset of the coronavirus pandemic. Some experts suggest that even after the virus recedes, our reliance on virtual gatherings will remain part of our new normality. If so, the huge bandwidth hunger that ubiquitous video conferencing imposes on the internet—from the core out to the thinnest branches—is here to stay.

Even using modern video codecs, a video conference can be demanding on bandwidth: 1 to 2 Mb/s per participant just to keep those thumbnail images on the screen. And there’s growing evidence that with experience, users become more critical of image quality, longing to see fine details of facial expressions, gestures, and posture that carry so much information in an in-person meeting. This trend limits the ability of apps to use higher compression ratios to reduce bandwidth needs. The fine detail the compression algorithm throws out contains just the cues a skilled negotiator needs most.

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Image processing is a demanding task and one reason is that it normally involves processing all of the pixels in an image. Multiple frames must be processed when dealing with video streams. Determining what changes from one frame to another is useful in detecting objects and other alterations, but it requires lots of horsepower and bandwidth to do that.

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