@millihertz @SweetAIBelle @retronianne I just don't see a reason to use #emacs over #ne, #nano or even #vim.

Not to mention that people who say some bs about "#Unix #Principle" but then use basically a #TUI-#Desktop with #email client, #filemanager and #editor rolled up in one kinda discredits them...

#systemd - like #wayland - fixes a shitton of issues noone else wanted to fix.

SystemD-Haters and Emacs fans are basically the same people AFAICS and they also tend to be toxic Stallmanists...

📝 Short-Term Load Forecasting Using a Particle-Swarm Optimized Multi-Head Attention-Augmented CNN-LSTM Network 🧠🦠

"A Particle-Swarm Optimized (PSO) Multi-Head Attention-based model with an efficient computational framework for the task of Short-Term Load Forecasting (STLF)." [gal30b+] 🤖 #LG #NE #SY

🔗 https://arxiv.org/abs/2309.03694v1 #arxiv

📝 Conversational Swarm Intelligence, a Pilot Study 👋🦠

"Conversational Swarm Intelligence (CSI) is a new method for enabling large human groups to hold real-time networked conversations using a technique modeled on the dynamics of biological swarms." [gal30b+] 🤖 #HC #NE

🔗 https://arxiv.org/abs/2309.03220v1 #arxiv

📝 Are SNNs Truly Energy-Efficient? $-$ a Hardware Perspective 🦠

"Studies two hardware benchmarking platforms for large-scale SNN inference, namely SATA and SpikeSim, and identifies key roadblocks to efficient SNN deployment on hardware." [gal30b+] 🤖 #NE

🔗 https://arxiv.org/abs/2309.03388v1 #arxiv

📝 Fitness Approximation Through Machine Learning 🦠👾🧠

"We continually update a fitness-approximation ML model during an evolutionary run by maintaining a dataset of sampled individuals along with their actual fitness scores, and using it to select the next generation and to compute approximate fitness of individuals." [gal30b+] 🤖 #NE #AI #LG

🔗 https://arxiv.org/abs/2309.03318v1 #arxiv

Russia attacks Toretsk and Novoukrainka, people killed and injured

The Russian forces attacked the settlements of Novoukrainka and Toretsk in Donetsk Oblast on 6 September, killing one person and injuring two.
Source: Anastasiia Medvedeva, spokesperson for the Donetsk Oblast Prosecutor's Office, in a comment for Suspilne
Quote: "At 9:40, as a result of the Russian attack on the settlement of Novoukrainka, a 61-year old local man died.

https://www.pravda.com.ua/eng/news/2023/09/6/7418734/ #ne

Russia attacks Toretsk and Novoukrainka, people killed and injured

The Russian forces attacked the settlements of Novoukrainka and Toretsk in Donetsk Oblast on 6 September, killing one person and injuring two.
Source: Anastasiia Medvedeva, spokesperson for the Donetsk Oblast Prosecutor's Office, in a comment for Suspilne
Quote: "At 9:40, as a result of the Russian attack on the settlement of Novoukrainka, a 61-year old local man died.

https://www.pravda.com.ua/eng/news/2023/09/6/7418734/ #ne

📝 Spiking Based Cellular Learning Automata (SCLA) Algorithm for Mobile Robot Motion Formulation 🦾🦠

"In SCLA, the environment consists of multiple squares of the same size and the robot only observes the neighboring squares of its current square at any time step and can only move up-down or left-right." [gal30b+] 🤖 #RO #NE

🔗 https://arxiv.org/abs/2309.00241v1 #arxiv

📝 Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning 🦠

"Extends the calibration technique for converting ANNs to SNNs and use this method to convert Physics-Informed Neural Networks (PINNs), which are used to solve PDEs by learning their solution functions." [gal30b+] 🤖 #NE

🔗 https://arxiv.org/abs/2308.16372v1 #arxiv

@easwatch #Nebraska #911 #NE

📝 On the Improvement of Model-Predictive Controllers 🧠🦠

"An improvement of the PM will always automatically improve the controller as a whole without considering the impact of other components such as action selection (here, evolutionary optimization)." [gal30b+] 🤖 #LG #NE #SY

🔗 https://arxiv.org/abs/2308.15157v1 #arxiv

📝 Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding 🦠

"By incorporating a meticulously designed contextual embedding component into the adaptive neuronal firing threshold, the CE-LIF neuron can enhance the memory storage capacity and facilitate effective sequential modeling." [gal30b+] 🤖 #NE

🔗 https://arxiv.org/abs/2308.15150v1 #arxiv

📝 Linear Oscillation: The Aesthetics of Confusion for Vision Transformer 🧠🔭🦠

"The LoC activation function introduces controlled complexity (or confusion) during training by intermittently infusing linear activations with harmonious oscillations, which in turn is posited to enhance learning in challenging contexts that necessitate discerning subtle patterns." [gal30b+] 🤖 #LG #CV #NE

🔗 https://arxiv.org/abs/2308.13670v1 #arxiv

📝 Stochastic Configuration Machines for Industrial Artificial Intelligence 🧠👾🦠

"The main contributions of this paper can be outlined as follows: 1) A new randomized model, termed stochastic configuration machines (SCMs), is proposed for industrial machine learning." [gal30b+] 🤖 #LG #AI #NE

🔗 https://arxiv.org/abs/2308.13570v1 #arxiv

📝 Reinforcement Learning-Assisted Evolutionary Algorithm: A Survey and Research Opportunities 🦠

"By integrating reinforcement learning (RL) into evolutionary algorithm (EA), RL-EA has been widely used to solve a variety of optimization problems including continuous, combinatorial, mixed integer nonlinear programming, and other problems." [gal30b+] 🤖 #NE

⚙️ https://github.com/BIMK/PlatEMO
🔗 https://arxiv.org/abs/2308.13420v1 #arxiv

📝 TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling 🦠

"Two-Compartment Leaky Integrate-and-Fire spiking neuron model, dubbed TC-LIF, incorporates somatic and dendritic compartment that are tailored to facilitate learning long-term temporal dependencies." [gal30b+] 🤖 #NE

🔗 https://arxiv.org/abs/2308.13250v1 #arxiv

📝 Hybrid Genetic Algorithm and Hill Climbing Optimization for the Neural Network 🦠👾

"Genetic algorithm is used for initial exploration of the search space, while Hill Climbing is used for local optimization of promising solutions, thus, the hybrid model is capable of performing both global search and local optimization." [gal30b+] 🤖 #NE #AI #PF

🔗 https://arxiv.org/abs/2308.13099v1 #arxiv

@beforewisdom personally, I do like #nano for being just an editor one can use and not have to learn archaic commands.

#ne adds an even nicer #TUI to it at the cost of needing #ncurses,.

I mean a lot of people can get quite speedy on #vim and espechally #neovim, like @fuchsiii, but since I'm not a #FrontendDev but #Linux #Sysadmin, I do follow "#ConfigurationByException" as I think default configs are done for a reason...

@mattl @ernie @vwestlife
https://github.com/OS-1337/OS1337/blob/main/docu/project-goals.md
Granted it's not easy to shim down #Linux to fit on a 1440kB FDD.

Not shure if I can get it down to 720kB.

Tho ideally I'd get the Kernel down to <500kB, Toybox is equally tiny and I'd still have space for #ne aka. the nice editor.
https://ne.di.unimi.it/

📝 Layer-Wise Feedback Propagation 🧠👾🦠

"Assigns rewards to connections based on Layer-wise Relevance Propagation and updates the parameters towards the direction of the assigned rewards, i,e, it strengthens connections that receive positive rewards and reduces the influence of those that receive negative rewards." [gal30b+] 🤖 #LG #AI #NE

🔗 https://arxiv.org/abs/2308.12053v1 #arxiv