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I'm a bit of an eclectic mess 🙂 I've been a programmer, journalist, editor, TV producer, and a few other things.

I'm currently working on my second novel which is complete, but is in the edit stage. I wrote my first novel over 20 years ago but then didn't write much till now.

I post about #Coding, #Flutter, #Writing, #Movies and #TV. I'll also talk about #Technology, #Gadgets, #MachineLearning, #DeepLearning and a few other things as the fancy strikes ...

Lived in: 🇱🇰🇸🇦🇺🇸🇳🇿🇸🇬🇲🇾🇦🇪🇫🇷🇪🇸🇵🇹🇶🇦🇨🇦

Time for an post from me I think

Hi, I'm Simon! I'm a full-time open source developer based in Half Moon Bay, California (half an hour south of San Francisco), mostly working on https://datasette.io and the 100+ (seriously) tools and plugins around it.

The theme of my work is helping people explore, analyze and publish their data.

You can learn lots more about me in this post I wrote celebrating my blog's 20th birthday https://simonwillison.net/2022/Jun/12/twenty-years/

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Hey Everyone! I’m new to mastodon.
I’m Dr. Imari Walker-Franklin: Scientist, Microplastics Researcher, Author, Science Communicator, Youtuber, and Cat mom.

I share content on plastic pollution and solutions, why Microplastics are so tricky, what chemicals are we putting in or on our body that we should stop, and just my daily life as a scientist.

Tell me a little about you and let’s follow each other!

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I love spotting patterns and shapes I can photograph, and just saw this image in my mind before I lifted my camera.

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The northern Wyoming sky has decided to showoff this evening.

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I wish to be here. I’m going to start tagging all my beaches photos to starting with this one

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Fahim Farook

Edited 3 years ago
Added a couple of extra filtering options to the home timeline in Tusker and suddenly the timeline is that much more manageable 😃

#Tusker #FediClient #iOS #macOS
A screenshot showing a set of f…
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@ethauvin Don’t remember. I checked mainly to see if they were somebody I was following or who followed me — neither. Didn’t have posts to indicate what they might be on about (or no posts were federated to my server). Just left it at that and (mostly) moved on … except of course, posting about it 😝
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Check out this gorgeous kitty cat aka Lynx! Just stunning in every way possible. Those paws, the color of the coat...simply gorgeous. 😻

📸 by Katy Doty

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@ethauvin That would track if they had any posts, but they didn’t 😛 Also, this particular person didn’t even have an avatar image set. I tend to disregard those anyway…
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Edited 3 years ago

It's , and I have a story I really wanna share:

In 1691 an 80-something Livonian man named Old Thiess was called to court as a witness in a theft case. As he was sworn in, another witness laughed: "How can he swear a holy oath when everyone knows he is a werewolf?"

The judges immediately forgot about the thief and put Old Thiess on trial. He calmly admitted that yes, indeed he was a werewolf.
1/6

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radio free fedi is a small web, consent driven, artist populated, non-commercial, attribution promoting, community radio

we are now ready to accept more submissions, and are here to promote sound and music artists, their support links, desired license and fedi presence if they wish in an eclectic and fun radio format

24/7 music from the fedi with "theNews" at the top of each hour

https://radiofreefedi.net

keep fedi weird

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Fahim Farook

Today turned out to be a light day for paper reading — only 7 papers in the cs.CV category, and 3 from other categories on arXiv posted.

But hey, the weekend is almost here 😛

#AI #CV #NewPapers #DeepLearning #MachineLearning
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Spring in the City
By Sabantha

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Fahim Farook

"Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval. (arXiv:2302.01332v1 [cs.LG])" — A Bayesian encoder for metric learning which, rather than relying on neural amortization as done in prior works, learns a distribution over the network weights with the Laplace Approximation.

Paper: http://arxiv.org/abs/2302.01332

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Reliable stochastic embeddings.…
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Fahim Farook

"Dual PatchNorm. (arXiv:2302.01327v1 [cs.CV])" — Experiments with adding two Layer Normalization layers (LayerNorms), before and after the patch embedding layer in Vision Transformers, to see how it affects accuracy.

Paper: http://arxiv.org/abs/2302.01327

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
The plot displays the accuracy …
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@AngelaPreston Yes, I’m not sure if I interpreted it correctly either 🙂 I was going by the middle image where I assumed that the strength of the blue colour indicated the strength of the smell …

But that didn’t seem to totally gel with the third image in terms of it going off course yet again … But since the third image doesn’t have the smell overlay (if that’s indeed what it is …) I can’t be sure that it didn’t again land on a cell with no smell and so went off course again due to the randomness …
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@andrey I guess it all depends on what people are looking for. Some just got annoyed at Twitter but they really want what Twitter offers while others (like me) actually find the Fediverse way much better. The former will leave when they can’t get what they want, the latter will (hopefully) stick around 🙂
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@AngelaPreston My guess would be that the wrong course was dictated by the randomness — it took one step away from the source and then kept making new turns randomly trying to find a stronger smell “signal”?
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