Tootfinder

Working closely with a wide range of companies, I have developed logos, logotypes, and symbols that are true representations of each brand, complement their particular fields, and resonate with the audience they hope to reach.
https://www.andycarolan.com/work/logofolio

Logo Folio - Andy Carolan Illustration and Design
Working closely with a wide range of companies, I have developed logos, logotypes, and symbols that are true representations of each brand, complement their particular fields, and resonate with the audiences they hope to reach.

📖 To Make Unions Resonate Again, Study the CIO’s History
#labor

To Make Unions Resonate Again, Study the CIO’s History
Declining union density has diminished American workers’ awareness of labor organizing, pride in union status, and sense of belonging to a tradition of collective struggle. The history of the CIO can teach us how to embed unions in the working class again.

Balanced Resonate-and-Fire Neurons
Saya Higuchi, Sebastian Kairat, Sander M. Bohte. Sebastian Otte
https://arxiv.org/abs/2402.14603 https://arxiv.org/pdf/2402.14603
arXiv:2402.14603v1 Announce Type: new
Abstract: The resonate-and-fire (RF) neuron, introduced over two decades ago, is a simple, efficient, yet biologically plausible spiking neuron model, which can extract frequency patterns within the time domain due to its resonating membrane dynamics. However, previous RF formulations suffer from intrinsic shortcomings that limit effective learning and prevent exploiting the principled advantage of RF neurons. Here, we introduce the balanced RF (BRF) neuron, which alleviates some of the intrinsic limitations of vanilla RF neurons and demonstrates its effectiveness within recurrent spiking neural networks (RSNNs) on various sequence learning tasks. We show that networks of BRF neurons achieve overall higher task performance, produce only a fraction of the spikes, and require significantly fewer parameters as compared to modern RSNNs. Moreover, BRF-RSNN consistently provide much faster and more stable training convergence, even when bridging many hundreds of time steps during backpropagation through time (BPTT). These results underscore that our BRF-RSNN is a strong candidate for future large-scale RSNN architectures, further lines of research in SNN methodology, and more efficient hardware implementations.

This slipped my mind, but there's something that crossed my mind after Main Story III.2 about Kamlanage. #clae_ae
What if Kamlanage, too, just like Aldo, is also "Another Eden"? Specifically, the supposed Eden of the Hollow Time Layer?
Although Ashtear said that Eden was never born in Hollow Time Layer (and he seems to be closer to Feinne in terms of appearance), Kamlanage's situation and designation is similar to Eden still. It may also explain to some degree why he can resonate with Feinne.

today is taking a break from twine porn to resurrect a non-kinky non-furry story that I outlined several years ago but never finished drafting. it's now a little late, it might have landed better years ago, but it still feels like it might resonate in the moment, and it keeps nagging at me, so I might as well finish it and see if anyone else likes it

In close partnership with a wide range of companies, I have developed logos, logotypes, and symbols that are true representations of that companies' brands, complement their particular fields, and resonate with the audiences they hope to reach.
#branding #logo

Logo Folio - Andy Carolan Illustration and Design
In close partnership with a wide range of companies, I have developed logos, logotypes, and symbols that are true representations of that companies' brands, complement their particular fields, and resonate with the audiences they hope to reach.

Legendary NFL Coach Sends Bold Message To Dallas Cowboys https://www.yardbarker.com/nfl/articles/legendary_nfl_coach_sends_bold_message_to_dallas_cowboys/s1_17150_40286328

Legendary NFL Coach Sends Bold Message To Dallas Cowboys
Entering the 2024 season, the Dallas Cowboys carry familiar aspirations, ones that have echoed season after season – aspirations of hoisting the Super Bowl trophy, a feat that has eluded them since the mid-90s. Yet, this year feels particularly pivotal, laden with intensified pressure, as it marks the culmination of quarterback Dak Prescott’s current contract. Within NFL circles, voices advocating for Dallas to secure Prescott’s services resonate. Notable among them is former Super Bowl-w…

Food Development through Co-creation with AI: bread with a "taste of love"
Takuya Sera, Izumi Kuwata, Yuki Taya, Noritaka Shimura, Yosuke Motohashi
https://arxiv.org/abs/2404.12760

Food Development through Co-creation with AI: bread with a "taste of love"
This study explores a new method in food development by utilizing AI including generative AI, aiming to craft products that delight the senses and resonate with consumers' emotions. The food ingredient recommendation approach used in this study can be considered as a form of multimodal generation in a broad sense, as it takes text as input and outputs food ingredient candidates. This Study focused on producing "Romance Bread," a collection of breads infused with flavors that reflect the nuances…

Balanced Resonate-and-Fire Neurons
Saya Higuchi, Sebastian Kairat, Sander M. Bohte. Sebastian Otte
https://arxiv.org/abs/2402.14603 https://arxiv.org/pdf/2402.14603
arXiv:2402.14603v1 Announce Type: new
Abstract: The resonate-and-fire (RF) neuron, introduced over two decades ago, is a simple, efficient, yet biologically plausible spiking neuron model, which can extract frequency patterns within the time domain due to its resonating membrane dynamics. However, previous RF formulations suffer from intrinsic shortcomings that limit effective learning and prevent exploiting the principled advantage of RF neurons. Here, we introduce the balanced RF (BRF) neuron, which alleviates some of the intrinsic limitations of vanilla RF neurons and demonstrates its effectiveness within recurrent spiking neural networks (RSNNs) on various sequence learning tasks. We show that networks of BRF neurons achieve overall higher task performance, produce only a fraction of the spikes, and require significantly fewer parameters as compared to modern RSNNs. Moreover, BRF-RSNN consistently provide much faster and more stable training convergence, even when bridging many hundreds of time steps during backpropagation through time (BPTT). These results underscore that our BRF-RSNN is a strong candidate for future large-scale RSNN architectures, further lines of research in SNN methodology, and more efficient hardware implementations.

Working closely with a wide range of companies, I have developed logos, logotypes, and symbols that are true representations of each brand, complement their particular fields, and resonate with the audience they hope to reach.
https://www.andycarolan.com/work/logofolio

Logo Folio - Andy Carolan Illustration and Design
Working closely with a wide range of companies, I have developed logos, logotypes, and symbols that are true representations of each brand, complement their particular fields, and resonate with the audiences they hope to reach.