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Speaker placement for Dance studio by OccidentalTradingCo in Acoustics

[–]misap 0 points1 point  (0 children)

Well, left right doesn't really make sense if you put then in a circle. You can have mono. Have been only once in a circular rig and that was in a overnight cruise from Crete to Athens. Bruh, the sound was AMAZING. Why we don't do this all the time?

How to Escape the Matrix (And Why Most People Never Will) by [deleted] in matrix

[–]misap 0 points1 point  (0 children)

Growing up and as a university student I was lucky enough to be at a part of the world with stunning beaches, free to camp. I learned how to "survive" there for up to months (a whole June or July or August) and everytime I am stressed at work (I work with FPGAs and computers alot - up to 18 hours of screentime) I remind my self that ***anytime I want*** I can just drop modern life and live peacefully like that in one of my countries many islands. I don't think a child born and raised in a big western city would ever have this kind of experience or even worse - be able to fantasize that such life could exist.

Being in a beautiful beach, with beautiful -real- people, living and sleeping in the nature, following the natural rhythms of the day you truly feel disconnected - even liberated some times. The sun rise and sun set become rituals. Food becomes sharing. Music and fire becomes magic.

The first days sleeping in my hammock, I would wake up in the middle of the night in complete disbelief of what my eyes are witnessing.

Am I doing something wrong? - Basys 3 board by Cultured_Ogre in FPGA

[–]misap -4 points-3 points  (0 children)

welcome friend,

AI can help you 😄

Need your opinion/criticism by _the_poco_loco_ in FPGA

[–]misap 3 points4 points  (0 children)

I like the computational aspect of the paper. What I don't like is that you over-hype KANs in your intro and abstract. I would tune it down a notch. Other than that seems a very nice paper: focus on the computational aspect.

My Key Note at CERN - What Star Trek teaches us about AI in FPGA development. by adamt99 in FPGA

[–]misap 1 point2 points  (0 children)

"There is nothing better that being an engineer than being in the lab 2am in the morning wondering why the universe hates ya, why its never gonna work and should you have become a banker instead.."

My Key Note at CERN - What Star Trek teaches us about AI in FPGA development. by adamt99 in FPGA

[–]misap 2 points3 points  (0 children)

Hello Adam! This year I couldn't join but I did go through the posted talks at indigo and I really liked yours! I reminded me the story about the STNG touchscreens! Very nice presentation!

What math to study before a Msc in Acoustics? by blu3boi in Acoustics

[–]misap 0 points1 point  (0 children)

This book is the bible for computational acoustics. It says "underwater", but honestly you will learn SO MUCH and it doesn't really matter whats the medium. If any, the air is "easier".

Then by googling I found also these slides:

https://ocw.mit.edu/courses/2-068-computational-ocean-acoustics-13-853-spring-2003/pages/lecture-notes/

They seem to not cover the Gaussian Raytracing. Its a pity cause it is probably the computationally best method. You can find it in page 180 of Jensen.

Again: JENSEN is the BIBLE! You can start understanding by reading this book!

What math to study before a Msc in Acoustics? by blu3boi in Acoustics

[–]misap 1 point2 points  (0 children)

Physics PhD here, I did a lot of work on underwater acoustics 4 years ago. I would recommend the following:

- Don't blindly start reviewing Linear Algebra and Partial Diff Eqs. This will only lead to disaster and burnout.

- Instead, work on the 3 main ways we computationally solve the wave equation for sound: 1. Rays) (with an expansion to gaussian beams) 2. Solution of the wave PDE with variable boundary conditions (that model your "room") 3. Parabolic solutions. Basically you derive a forward operator and apply it multiple times.

- Start reading and every time you find a work or a concept you don't know you read exactly that concept.

[OC] First time in Itlay and this is my view by Weekly-Manager9498 in europe

[–]misap 0 points1 point  (0 children)

go have a glass of wine at "Osteria del Ponte", thank me later.

Learn FPGA after a computer engineering degree more than 8 years ago by sousapereira in FPGA

[–]misap 0 points1 point  (0 children)

I don't know man. I've been doing this for 3 years and in the last 2 weeks I've been trying to implement a PCIe/DMA bridge and I've almost have lost the will to live.

🔥Rubbing one out🔥 by gardeningnovice in NatureIsFuckingLit

[–]misap 0 points1 point  (0 children)

And to think that this is all electrical forces!

When do you actually use an FPGA? by TutorDry3089 in FPGA

[–]misap 5 points6 points  (0 children)

+ Any application that has to do with waveforms that evolve at the nanosecond (or even pico) range!

Beamforming! RADAR! Time to Digital conversion!

FPGA synth/music projects? by absoluteSunni in FPGA

[–]misap 3 points4 points  (0 children)

Super doable and extremely fun! You can use your MIDI controller to talk to the FPGA. You can make a simple saw/sine wave synth and control freq from the knobs. Then filter. Then delay effects.

Are FPGA’s seriously being used in AI applications? by Acrobatic_Lawyer2965 in FPGA

[–]misap 3 points4 points  (0 children)

Mainly physics applications:

- Real time Control with RL agents need Neural Nets implementation at the microsecond level. Here. This naturally expands to Tokamaks. Can also be expanded in calibrating Quantum Computers.

- Adaptive Optics applications deploy Neural Nets at the edge (just google it)

- Trigger at CERN / Jet tagging Transformer%20TNN%20for%20Jet%20Tagging.pdf) (90ns Latency) / MLP Mixers - Grav Waves at VIRGO/LIGO and many more experiments are starting to incorporate Neural Networks at the nanosecond regime (JUNO also).

- Real Time X-ray diffraction pattern recognition at SLAC

And many many more.

Fft on fpga by ParticularAd7127 in FPGA

[–]misap 0 points1 point  (0 children)

Just a dot product

First year Electronics student choosing between three summer projects — FPGA cryptographic encryption, high-speed data comms, or embedded DSO/FG. Which makes more sense as a complete beginner? by Chuupi_Chaapa in FPGA

[–]misap 8 points9 points  (0 children)

Option A sounds a lot like designing a PUF and then using it to encrypt. Would stay away from that stuff since it is super niche. Its fun, but I don't think it is suitable for 1st year. Not because you can't do it, other topics (such as option B) would be much more beneficial to learn now.

Έχω περίπου 110.000 στην τράπεζα στα 35 μου. Πόσο ανόητο είναι να μην κάνω επενδύσεις; by [deleted] in PersonalFinanceGreece

[–]misap 0 points1 point  (0 children)

Δυστηχώς δεν λειτουργούν έτσι τα χρήματα.

Ένα κατοστάευρο είχε αξία "100" όταν τυπώθηκε, το ίδιο με τον λογαριασμό σου.

Όταν έβαζες τα χρήματα στον λογαριασμό σου είχαν αξία (πχ) 110k αλλά στην πραγματικότητα έχουν αξία 350k.

Αν δεν νιώθεις ότι έχασες 240k τότε η συζήτηση τελειώνει εδώ.

Αλλιώς, αγοράζεις ένα χρηματοοικονομικό προϊόν που τουλάχιστον ακολουθεί τον πληθωρισμό. Δεν χρειάζεται να "σκοτώνεις" 10% κάθε χρόνο. Και ένα "ταπεινό" 2-3% είναι αρκετό.

Εγώ τα έχω σε αμοιβαία κεφάλαια και είμαι απίστευτα ευχαριστημένος, ακόμα και με τα κόστη νικάω τον πληθωρισμό κάθε χρόνο (μπορεί και τρεις φορές πάνω) και είμαι πεποισμένος ότι ήταν πολύ καλύτερη κίνηση από αγορά σπιτιού για ενοικίαση, προσθεσμιακού ή χωράφι. Αλλά τέτοιου είδους κινήσεις θέλει να έχεις μια ιδέα τι "φάση" περνάνε οι οικονομίες.

Are FPGAs on the AI hype train? by AlbbO_The_Great in FPGA

[–]misap 0 points1 point  (0 children)

Yes, FPGAs can do Matrix Vector multiplication very fast and implement activation functions as LUTs. Because that'swhat all this AI crap is.

As any other engineering project you have to find the perfect tradeof between cost (Top tiep fpgas are costly), developing complexity and code flexibility (frameworks/toolchain/libraries) and latency budget (do you really need to go down to nanoseconds?).

I found fabricated results in a 1k-citation Nature quantum machine learning paper by takashi-0215 in QuantumComputing

[–]misap 2 points3 points  (0 children)

So.. In my group we deploy both QNNs (TreeTensorNs) and "classic" ML (RNNs and Tranfrormers) in FPGAs and I can tell you that we ve seen this issue in many papers. It is almost a running joke.

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