“Your car goes where your eyes go.” – Garth Stein
A brand-new survey of autonomous-vehicle designers tells an interesting story about their progress, their concerns, and their outlook for fully autonomous vehicles.
If I may offer a brief summary: they’re scared $#!%-less.
The survey was … Read More → "Self-Driving Cars: What the Engineers Think"
Following on the recent announcement of the new Agilex FPGA family, Intel announced they are acquiring Omnitek – a developer of video and vision acceleration IP for FPGAs. As the market for FPGA-powered acceleration heats up, one of the killer applications is video and machine vision. FPGAs are extremely well suited to video analytics, as the combination of acceleration capabilities and flexible handling of high bit-rate data … Read More → "Intel Acquires Omnitek"
For IoT devices, it matters that the system be able to power itself down when not doing anything. So it matters that critical data remain in place when power is off – meaning that it needs non-volatile memory. Which, today, would be flash. And serial flash can be a good way to add such a memory with a modest footprint.
Are we really using the edge to the best of our ability? Sure, VR and AR are cool, but are they the best case for engineering and business development at the edge? In this episode of Fish Fry, I sit down with Kevin Hannah (Director of Product Operations- Kazuhm) and chat about why he thinks artificial intelligence should take center stage at the edge and why our ability to … Read More → "The Curious Case of the Critical Catalyst"
“When I’m assembling a scene, I assemble it as a silent movie.” – Walter Murch
Hardly a week goes by that some “disruptive” new technology makes the news (you’re welcome) with promises to upend everything we know about computers, software, consumer electronics, security, healthcare, etc. Many of those promises peter out, never to be heard from again. But enough of them … Read More → "Disruption in the 1920s"
Let’s start with one hard fact. There are a lot of companies developing new AI inference processors right now, and most of them won’t survive. We have heard reports that as many as 80 startups are currently funded to some level, and all of them are working hard on building better mousetraps, or at least building better specialized processors that could execute neural network models … Read More → "FlexLogix Accelerates Edge Inference"
