Tootfinder

Selv om jeg faktisk var medlem i Piratpartiet en periode, ser jeg nå hvor begrenset prosjektet egentlig er fra et anarkistisk perspektiv. Piratpartiet snakker mye om åpenhet, personvern og digital frihet, men de er fortsatt bundet til det parlamentariske spillet. De sŸker makt gjennom valg, partier og representasjon, akkurat som alle andre.
De vil reformere systemet innenfra, men det er nettopp systemet som er problemet. Ekte frihet og selvstyre kan ikke oppnås gjennom Stortinget eller…

Probably stating the obvious, but for the past 30 years at least, contributing (in any capacity) on opensource projects is an excellent way to network with a global pool of top-tier folks in all the related domains, and to test the limits of your craft, plus all the work you do can be openly shared with any prospective employer. So you aren't 'volunteering' as much as you're building your portfolio in grad school, but with no student fees 😁
#fedihire #lifelonglearning

💾 Bedrock: A tiny, portable 8-bit virtual computer (uxn fork)
#computers

Residual Income Valuation and Stock Returns: Evidence from a Value-to-Price Investment Strategy
Ahmad Haboub, Aris Kartsaklas, Vasilis Sarafidis
https://arxiv.org/abs/2506.00206

Residual Income Valuation and Stock Returns: Evidence from a Value-to-Price Investment Strategy
We hypothesize that portfolio sorts based on the V/P ratio generate excess returns and consist of companies that are undervalued for prolonged periods. Results, for the US market show that high V/P portfolios outperform low V/P portfolios across horizons extending from one to three years. The V/P ratio is positively correlated to future stock returns after controlling for firm characteristics, which are well known risk proxies. Findings also indicate that profitability and investment add explan…

Comparing the Performance of MC/DC's on-GPU Event-based Processing Methods in Multigroup and Continuous-energy Problems
Braxton Cuneo, Joanna Piper Morgan, Ilham Variansyah, Kyle E. Niemeyer
https://arxiv.org/abs/2506.00263

Comparing the Performance of MC/DC's on-GPU Event-based Processing Methods in Multigroup and Continuous-energy Problems
Monte Carlo / Dynamic Code (MC/DC) is a portable Monte Carlo neutron transport package for rapid numerical methods exploration in heterogeneous and HPC contexts, developed under the auspices of the Center for Exascale Monte Carlo Neutron Transport (CEMeNT). To support execution on GPUs, MC/DC delegates resource and execution management to Harmonize (another CEMeNT software project). In this paper, we describe and compare the performance of the two methods that Harmonize currently provides: a st…

Optimising cryptocurrency portfolios through stable clustering of price correlation networks
Ruixue Jing, Ryota Kobayashi, Luis Enrique Correa Rocha
https://arxiv.org/abs/2505.24831

Optimising cryptocurrency portfolios through stable clustering of price correlation networks
The emerging cryptocurrency market presents unique challenges for investment due to its unregulated nature and inherent volatility. However, collective price movements can be explored to maximise profits with minimal risk using investment portfolios. In this paper, we develop a technical framework that utilises historical data on daily closing prices and integrates network analysis, price forecasting, and portfolio theory to identify cryptocurrencies for building profitable portfolios under unc…

This https://arxiv.org/abs/2502.13943 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
Current approaches for training Process Reward Models (PRMs) often involve breaking down responses into multiple reasoning steps using rule-based techniques, such as using predefined placeholder tokens or setting the reasoning step's length into a fixed size. These approaches overlook the fact that specific words do not typically mark true decision points in a text. To address this, we propose AdaptiveStep, a method that divides reasoning steps based on the model's confidence in predicting the …

Exploring Societal Concerns and Perceptions of AI: A Thematic Analysis through the Lens of Problem-Seeking
Naomi Omeonga wa Kayembe
https://arxiv.org/abs/2505.23930

Exploring Societal Concerns and Perceptions of AI: A Thematic Analysis through the Lens of Problem-Seeking
This study introduces a novel conceptual framework distinguishing problem-seeking from problem-solving to clarify the unique features of human intelligence in contrast to AI. Problem-seeking refers to the embodied, emotionally grounded process by which humans identify and set goals, while problem-solving denotes the execution of strategies aimed at achieving such predefined objectives. The framework emphasizes that while AI excels at efficiency and optimization, it lacks the orientation derived…

TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching
Shengyuan Liu, Wenting Chen, Boyun Zheng, Wentao Pan, Xiang Li, Yixuan Yuan
https://arxiv.org/abs/2505.24687

TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching
Tumor data synthesis offers a promising solution to the shortage of annotated medical datasets. However, current approaches either limit tumor diversity by using predefined masks or employ computationally expensive two-stage processes with multiple denoising steps, causing computational inefficiency. Additionally, these methods typically rely on binary masks that fail to capture the gradual transitions characteristic of tumor boundaries. We present TumorGen, a novel Boundary-Aware Tumor-Mask Sy…

This channel is an unofficial mirror of Bernadette Banner’s YouTube content. It is not affiliated with or endorsed by Bernadette Banner and may be removed if she requests.
She is one of my favorite creators on YouTube, so I’ve synchronized and published her videos on PeerTube, while the rest is currently being transcoded and should be available by tomorrow!