Tootfinder

🇺🇦 Auf #radioeins läuft...
Sophia Kennedy:
🎵 Hot Match
#NowPlaying #SophiaKennedy
https://sophiakennedy.bandcamp.com/track/hot-match
https://open.spotify.com/track/1QBwezIfN3BP7CF1vN7wCk

Enhancing Symbolic Machine Learning by Subsymbolic Representations
Stephen Roth, Lennart Baur, Derian Boer, Stefan Kramer
https://arxiv.org/abs/2506.14569 …

Enhancing Symbolic Machine Learning by Subsymbolic Representations
The goal of neuro-symbolic AI is to integrate symbolic and subsymbolic AI approaches, to overcome the limitations of either. Prominent systems include Logic Tensor Networks (LTN) or DeepProbLog, which offer neural predicates and end-to-end learning. The versatility of systems like LTNs and DeepProbLog, however, makes them less efficient in simpler settings, for instance, for discriminative machine learning, in particular in domains with many constants. Therefore, we follow a different approach:…

“Family values do not stop south of the Rio Grande,” he told the crowd. “Why do you think they are here? It’s because they love their family. You and I would do the same thing if we were in their position.”
Guess who said that? Answer below
https://ww…

77-year-old poem explains protestors' ICE anger
Later set to music, Guthrie’s ode decries the dehumanization of immigrants that we’re seeing today

“Family values do not stop south of the Rio Grande,” he told the crowd. “Why do you think they are here? It’s because they love their family. You and I would do the same thing if we were in their position.”
Guess who said that? Answer below
https://ww…

77-year-old poem explains protestors' ICE anger
Later set to music, Guthrie’s ode decries the dehumanization of immigrants that we’re seeing today

How bad are the cuts to NASA? And is this the first hint of Planet 9? | Night Sky News May 2025
Some projects already built and scheduled for launch might end up in storage https://www.youtube.com/watch?v=si6paqM2_ug

A Variational Framework for Improving Naturalness in Generative Spoken Language Models
Li-Wei Chen, Takuya Higuchi, Zakaria Aldeneh, Ahmed Hussen Abdelaziz, Alexander Rudnicky
https://arxiv.org/abs/2506.14767

A Variational Framework for Improving Naturalness in Generative Spoken Language Models
The success of large language models in text processing has inspired their adaptation to speech modeling. However, since speech is continuous and complex, it is often discretized for autoregressive modeling. Speech tokens derived from self-supervised models (known as semantic tokens) typically focus on the linguistic aspects of speech but neglect prosodic information. As a result, models trained on these tokens can generate speech with reduced naturalness. Existing approaches try to fix this by…

A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks
Maximilian Baronig, Yeganeh Bahariasl, Ozan \"Ozdenizci, Robert Legenstein
https://arxiv.org/abs/2506.14464

A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks
Recurrent spiking neural networks (RSNNs) can be implemented very efficiently in neuromorphic systems. Nevertheless, training of these models with powerful gradient-based learning algorithms is mostly performed on standard digital hardware using Backpropagation through time (BPTT). However, BPTT has substantial limitations. It does not permit online training and its memory consumption scales linearly with the number of computation steps. In contrast, learning methods using forward propagation o…

Loosely Speaking
Great Australian Pods Podcast Directory: #GreatAusPods

NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip Learning
Ashish Gautam, Prasanna Date, Shruti Kulkarni, Robert Patton, Thomas Potok
https://arxiv.org/abs/2506.14138

NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip Learning
Spiking Neural Networks (SNNs) are computational models inspired by the structure and dynamics of biological neuronal networks. Their event-driven nature enables them to achieve high energy efficiency, particularly when deployed on neuromorphic hardware platforms. Unlike conventional Artificial Neural Networks (ANNs), which primarily rely on layered architectures, SNNs naturally support a wide range of connectivity patterns, from traditional layered structures to small-world graphs characterize…

🇺🇦 Auf radioeins läuft...
Sufjan Stevens:
🎵 Video game
#NowPlaying #SufjanStevens
https://music.sufjan.com/track/video-game
https://open.spotify.com/track/3Q8B1nnUBlJz0VTajyk1IS