neat! damn, wish you had security openings. That SRE one looks nice though.
Shoot me a resume steven ~dot~ turner ~-at-~ ditto -~dot~- com
Readit NewsDitto | Public Safety Forward Engineer | Full-time | Remote (North America preferred)
Ditto is building an edge-first, peer2peer database and streaming APIs that solve challenging data synchronization problems. Our core is built on CRDTs and Rust.
If you know networking, ATAK, p2p, ROS2 or wireless MANETs please apply. I’m building out a team to apply the technology to life saving markets and need a hand. You’ll own some greenfield development, get out in the field with firefighters, work with UAVs, and ride multicast over cutting edge mesh radios.
Compensation 130-210k + equity and benefits.
Interested then apply at this link https://job-boards.greenhouse.io/dittoliveincorporated and mention HackerNews. There are other opportunities listed as well!
kylixz commented on SIMD-accelerated computer vision on a $2 microcontroller shraiwi.github.io/read.ht... · Posted by u/shraiwi
Thanks for reading!
> What are some use cases for FAST?
The FAST feature detector is an algorithm for finding regions of an image that are visually distinctive, which can be used as a first step in motion tracking and SLAM (simultaneous localization and mapping) algorithms typically seen in XR, robotics, etc.
> Is there TPU-like functionality in anything in this price range of chips yet?
I think that in the case of the ESP32-S3, its SIMD instructions are designed to accelerate the inference of quantized AI models (see: https://github.com/espressif/esp-dl), and also some signal processing like FFTs. I guess you could call the SIMD instructions TPU-like, in the sense that the chip has specific instructions that facilitates ML inference (EE.VRELU.Sx performs the ReLU operation). Using these instructions will still take away CPU time where TPUs are typically their own processing core, operating asynchronously. I’d say this is closer to ARM NEON.
Interested in doing more of this type of work optimizing a SLAM/factorgraph pipeline?
Email in bio and would love to chat!
kylixz commented on Intel Gaudi 3 AI Accelerator intel.com/content/www/us/... · Posted by u/goldemerald
This is a bit snarky — but will Intel actually keep this product line alive for more than a few years? Having been bitten by building products around some of their non-x86 offerings where they killed good IP off and then failed to support it… I’m skeptical.
I truly do hope it is successful so we can have some alternative accelerators.
Darkhive.com | United States | REMOTE | Full-time | $150-220k + early shares, employee #10-15
There are two kinds of drone companies on the market. DJI and everyone else you haven't heard of. If you want to change that, particularly in the US, check us out. We are creating a palm-sized, autonomous drones to help de-escalate dangerous situations.
If ROS2, sUAS, GTSAM, SolidWorks, aerospace, hard realtime systems, and drones are things you're familiar with or interested in, let's chat. Shipped a consumer product in volume? Let's chat.
Maybe you're working an another UAS/Drone company that's larger and want to flex your brain to have more direct impact and ownership of your creations. Apply below and mention HackerNews.
Let's make drones more affordable and accessible to public safety, humanitarian, and defense applications.
- Position can be 100% remote (US Only). Relocation to San Antonio, TX would be awesome.
- We do in person meetings when needed. We are just 14 people.
- We're a startup, but we have funding and contracts. We're all mid-career so we want a sustainable, mature, diverse working environment.
- This position will involve defense work. However, we will never build drones that can harm people.
Hit me up direct at { sturner at darkhive dot com }
Just to back this point up, the single biggest challenge to headset makers is power management.
Every time you move a byte one stage away from the sensor you (general) incur an order of magnitude of power cost. There are many many caveats, and its not a hard and fast rule, but its a useful illustration. Don't get up about precise numbers, just understand that moving data between devices, even inside a processor has a power cost.
e.g. reading out a pixel from a camera costs 1, moving it to a UART/interface costs 10, reading it into a register costs 100, l1 1000 etc etc etc.
The closer you can do the processing to the sensor the greater the (potential) power saving, and in theory the lower the latency.
For example the eye cameras you only really want the direction the eyes are looking. So you don't want to ship the entire image at 120fps to a processor, do some maths to then get that vector. Ideally you want the sensor to do it for you and just ship four floats every 1/120th of a second.
I'm also not sure where the main processor is for the goggles, so data compression and coordination of the sensors also becomes critical. The images sensors almost certainly don't run at a high enough framerate to be "magical" so you need IMU to generate a fudge factor. They need to run at a known sample rate, one that doesn't deviate. Using the CPU to do that is bad, because that'll require a lot of interrupts, leaving little room for other stuff that's important (like other sensors)
now, I've hinted that the "SPU" does processing, which is almost certainly does. This means that it might actually look like a GPU after all, as its doing a lot of calculations that are very "graphics-y" All that computer vision: SLAM for head orientation, HAnd tracking for, well, hands, Image stitching/warping and correction to make the pass through work, plus the audio shit, it all very computer vision. So its highly likely that it looks a bit like a GPU, because its doing similar tasks
You seem knowledgeable about this stuff — do you work in this space? I’m trying to do some feature extraction from multiple global shutters right now on limited hardware and its a learning experience!
kylixz commented on The Seamless Communication models ai.meta.com/research/seam... · Posted by u/skadamat
Seamless Streaming looks really promising! We just had a new employee start a few months back with profound hearing loss and our company had no idea what to do with him from an accessibility standpoint. They threw out solutions like Dragon, not realizing those solutions are not real-time.
He ended up rolling his own solution by standing up Whisper in one of our clusters and writing a basic front end and API to take his laptop’s mic input and chunk it every few seconds to send to the model and get back text in pseudo-realtime. We got him a pretty beefy Alienware so he wouldn’t be tied to the cluster GPUs. I can’t wait to see what he does with these new models!
I recommend checking out: https://talonvoice.com/
Darkhive.com | United States | REMOTE | Full-time | $150-220k + early shares, employee #10-15
Darkhive is creating a palm-sized, autonomous drone optimized to demonstrate the capabilities of our software stack. The integrated software and hardware solution are key to realizing the full potential of the product in our target markets.
If ROS2, sUAS, GTSAM, SolidWorks, and aerospace are things you're familiar with or interested in, let's chat. Shipped a consumer product in volume? Let's chat. Maybe you're working an another UAS/Drone company that's larger and want to flex your brain to have more direct impact and ownership of your creations. Apply below and mention HackerNews.
Let's make drones more affordable and accessible to public safety, humanitarian, and defense applications.
- Position can be 100% remote (US Only). Relocation to San Antonio, TX preferred. - We do in person meetings when needed. We are just 10 people. - We're a startup, but we have funding and contracts. We're all mid-career so we want a sustainable, mature, diverse working environment. - This position will involve defense work. However, we will never build drones that can harm people.
For more details on available positions check out: https://apply.workable.com/darkhive/
Darkhive.com | United States | REMOTE | Full-time | $150-220k + early shares, employee #5-10
Public safety and military robotics systems are unintegrated with existing equipment and applications. They require too much specialized training, making them incredibly niche and significantly inhibiting broad adoption.
Darkhive is creating a palm-sized, autonomous drone optimized to demonstrate the capabilities of our software stack. The integrated software and hardware solution are key to realizing the full potential of the product in our target markets.
If ROS2, DDS, sUAS, GTSAM, SolidWorks, and aerospace are things you're familiar with or interested in, let's chat. Maybe you're working an another UAS/Drone company that's larger and want to flex your brain to have more direct impact and ownership of your creations. Apply below and mention HackerNews.
We're looking for early hires to build out our SLAM stack, optimize the airframe, and build novel autonomous solutions. Our robots are designed and built in the USA. Let's make drones more affordable and accessible to public safety, humanitarian, and defense applications.
- Position can be 100% remote (US Only). Relocation to San Antonio, TX preferred. - We do in person meetings when needed. We are just 10 people. - We're a startup, but we have funding and contracts. We're all mid-career so we want a sustainable, mature, diverse working environment. - This position will involve defense work. However, we will never build drones that can harm people.
For more details on available positions check out: https://apply.workable.com/darkhive/
https://en.wikipedia.org/wiki/Android_Team_Awareness_Kit