Tootfinder

"Religious leaders who report abuse still will not be required to testify."
Utah Legislature expands ability of clergy members to report child abuse
https://religionnews.com/2024/03/01/utah-legislature-e…

Utah Legislature expands ability of clergy members to report child abuse
SALT LAKE CITY (AP) — Religious leaders who report abuse still will not be required to testify.

Many years of conflating the ability to recognise a problem with the ability to solve a problem.

Google plans to limit news publishers to tracking users across five of their own websites under its Privacy Sandbox, which is set to replace third-party cookies (Jim Edwards/Press Gazette)
https://pressgazette.co.uk/marketing/google-related-website-sets-s…

Google plans to limit reader data sharing for publishers to groups of five sites
Google Related Website Sets plan for Sandbox cookie replacement could curb ability of publishers to compete with online advertising.

Seahawks QB Sam Howell confident in ability to play consistent, smarter football if 'opportunity' arises https://www.nfl.com/news/seahawks-qb-sam-howell-confident-in-ability-to-play-consistent-smarter…

Seahawks QB Sam Howell confident in ability to play consistent, smarter football if 'opportunity' arises
Sam Howell has joined the Seattle Seahawks as a backup after leading the NFL in interceptions in 2023, but he remains confident in his ability to fix what went wrong with the Washington Commanders should the opportunity to take the field arise.

Through the Transparency Lens: Revealing Ukraine's Most Open Cities. Ukraine in Flames #605: https://benborges.xyz/2024/04/30/through-the-transparency.html

Still training up my ability to respectfully disagree. At least I've been able to learn to shut the fuck up.

“Super-agers.” are age 80 and up, but have the memory ability of a person 20 to 30 years younger.
Most research on aging and memory focuses on people who develop dementia in their later years.
But, “if we’re constantly talking about what’s going wrong in aging, it’s not capturing the full spectrum of what’s happening in the older adult population,” said Emily Rogalski, a professor of neurology at the University of Chicago.
A paper published Monday in the Journal of Neurosci…

A Peek Inside the Brains of ‘Super-Agers’
New research explores why some octogenarians have exceptional memories.

Late night, when you're entering your computer #password many times and get a negative feedback, start to question your ability to remember one of your most important and frequently used passphrases until you realize that you enter the (correct) passphrase of a different machine. 🤦‍♂️

There is (mostly) hype and bull about AI. But there is new tech with LLMs and such that are actually valuable if you understand their limitations and use them where they can actually help out.
@… has been posting some excellent and practical tutorials on some of these useful tools and techniques. His latest one is particularly good.

How to Learn Unfamiliar Software Tools with ChatGPT
ChatGPT's mind-boggling ability to see and react to my coding attempts points to a whole new way of learning how to use software.

It's likely that this photo can only really be appreciated on a larger screen, as it's taken in very little light.
Digital photography has an amazing ability to capture colour images in next to no light, and with such rich blacks. Can't help but remember how hard it was to get anywhere near this with old style photography.
I'd love to see others' dark photos too - shall we start a hashtag for it?

Substack now lets writers paywall their Chat discussion spaces and says active Chat participants are 12% more likely to retain their subscriptions (Aisha Malik/TechCrunch)
https://techcrunch.com/2024/05/01/substack-now-lets-writers…

Substack now lets writers paywall their 'Chat' discussion spaces | TechCrunch
Substack is launching the ability for writers to paywall their entire Chat or specific threads to paid or founding members only.

Wild thing I just found out because my boss got a new laptop. The company I work for is ELIMINATING the ability to use Chrome. They are insisting everyone use Edge. This is BEYOND hilarious

@… I see you've recently added the ability to choose which account to reply from whenever multiple accounts are active.
Do you have plans to be able to choose which account to boost/favorite from? That would make it SO much better!

I may have lost the ability to whistle but I can snap my fingers now so it's a loss for a win.

This is a highly recommended episode about flexibility and energy justice. Sophie and Louise talk about their recent report 'Flex-ability for all' and how we can work to improve this 'ability to be flexible', and how that is a logical extension of existing energy efficiency efforts. A great conversation, e.g. on "energy efficiency is the original flexible asset", making it easier to shift the energy we still need over time.

45 - Flex-ability for All: Uniting DSF and Energy Justice, Sophie Yule-Bennett and Louise Sunderland
In this episode, we're joined by Sophie Yule-Bennett (https://www.linkedin.com/in/sophie-yule-bennett-6116a646/) and Louise Sunderland (https://www.linkedin.com/in/louise-sunderland-5474b848/) from the Regulatory Assistance Project (RAP) (https://www.raponline.org). They delve into the complexities of demand-side flexibility (#DSF) and its pivotal role in advancing Europe's green transition while balancing energy justice considerations. Sophie and Louise engage in a thought-provoking discussion…

Why tf did #Cyberpunk2077 increase the ability level requirements for dialogues and other stuff on 2.0? This sucks

This https://arxiv.org/abs/2404.15515 has been replaced.
link: https://scholar.google.com/scholar?q=a

ToM-LM: Delegating Theory of Mind Reasoning to External Symbolic Executors in Large Language Models
Theory of Mind (ToM) refers to the ability of individuals to attribute mental states to others. While Large Language Models (LLMs) have shown some promise with ToM ability, they still struggle with complex ToM reasoning. Our approach leverages an external symbolic executor, specifically the SMCDEL model checker, and fine-tuning to improve the ToM reasoning ability of LLMs. In our approach, an LLM is first fine-tuned through pairs of natural language and symbolic formulation representation of To…

Using @ConstantContact is a total nightmare. It's like a trip back to 2000. No ability to copy blocks between messages, limited ability to design anything anyway, no real user templates to speak of. Cut and paste is quite broken. I smell abandonware.

#writerscoffeeclub 1 What inspired you to begin writing?
The magic of the written word, the ability to send your mind a hundred years into the future or the past, has been an urge with me ever since I wrote my first word. I was 3,5 years old, and I wrote "Papa". I can honestly say that I've written all my life, I can't remember a time when I didn't write.

@… @… And to add insult to injury, their search engine is not nearly as accessible as it’s competitors, and they’ve somehow managed to break the ability of a user to cycle through open tabs contained with an …

#Bluesky unterstützt nun auch endlich Hashtags.

"The environment you’re in can have its own mindset culture. It can be a culture that believes in and values the development of all people’s ability. Or it can be a culture that believes in and values fixed ability, a culture that expects some people to have more of it and some people to (permanently) have less of it."
 – Cultures of Growth: How the New Science of Mindset Can Transform Individuals, Teams, and Organizations von Mary C. Murphy

Simple But Effective: Rethinking the Ability of Deep Learning in fNIRS to Exclude Abnormal Input
Zhihao Cao
https://arxiv.org/abs/2402.18112 https://

Simple But Effective: Rethinking the Ability of Deep Learning in fNIRS to Exclude Abnormal Input
Functional near-infrared spectroscopy (fNIRS) is a non-invasive technique for monitoring brain activity. To better understand the brain, researchers often use deep learning to address the classification challenges of fNIRS data. Our study shows that while current networks in fNIRS are highly accurate for predictions within their training distribution, they falter at identifying and excluding abnormal data which is out-of-distribution, affecting their reliability. We propose integrating metric l…

I have a bad prediction for YouTube's future, they're going to remove the ability to select video resolution in the future similar to how Netflix does it. They've already reduced the bit rate to the floor, and on mobile they're always pushing the resolution to lower resolutions. #youtube

Dynamical ejecta from binary neutron star mergers: Impact of residual eccentricity and equation of state implementation
Francois Foucart, Matthew D. Duez, Lawrence E. Kidder, Harald P. Pfeiffer, Mark A. Scheel
https://arxiv.org/abs/2404.18674

Dynamical ejecta from binary neutron star mergers: Impact of residual eccentricity and equation of state implementation
Predicting the properties of the matter ejected during and after a neutron star merger is crucial to our ability to use electromagnetic observations of these mergers to constrain the masses of the neutron stars, the equation of state of dense matter, and the role of neutron star mergers in the enrichment of the Universe in heavy elements. Our ability to reliably provide such predictions is however limited by a broad range of factors, including the finite resolution of numerical simulations, the…

Amazon makes its AI assistant Amazon Q generally available and adds an "app creator" to let employees build generative AI-powered apps based on company data (Todd Bishop/GeekWire)
https://www.geekwire.com/2024/amazon-q-adds-f…

Amazon Q adds feature to create AI apps using natural language
Amazon Q Apps was announced in preview Tuesday morning. (Amazon Image) Amazon says it will give non-developers the ability to create apps using natural

This https://arxiv.org/abs/2402.17743 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csPL_…

Rose: Composable Autodiff for the Interactive Web
Reverse-mode automatic differentiation (autodiff) has been popularized by deep learning, but its ability to compute gradients is also valuable for interactive use cases such as bidirectional computer-aided design, embedded physics simulations, visualizing causal inference, and more. Unfortunately, the web is ill-served by existing autodiff frameworks, which use autodiff strategies that are unperformant on dynamic scalar programs, and pull in heavy dependencies that would result in unacceptable …

Behavioural Metrics: Compositionality of the Kantorovich Lifting and an Application to Up-To Techniques
Keri D'Angelo, Sebastian Gurke, Johanna Maria Kirss, Barbara K\"onig, Matina Najafi, Wojciech R\'o\.zowski, Paul Wild
https://arxiv.org/abs/2404.19632

Behavioural Metrics: Compositionality of the Kantorovich Lifting and an Application to Up-To Techniques
Behavioural distances of transition systems modelled as coalgebras for endofunctors generalize the traditional notions of behavioural equivalence to a quantitative setting, in which states are equipped with a measure of how (dis)similar they are. Endowing transition systems with such distances essentially relies on the ability to lift functors describing the one-step behavior of the transition systems to the category of pseudometric spaces. We consider the Kantorovich lifting of a functor on qu…

Thinking inside the bounds: Improved error distributions for indifference point data analysis and simulation via beta regression using common discounting functions
Mingang Kim, Mikhail N. Koffarnus, Christopher T Franck
https://arxiv.org/abs/2404.18000

Thinking inside the bounds: Improved error distributions for indifference point data analysis and simulation via beta regression using common discounting functions
Standard nonlinear regression is commonly used when modeling indifference points due to its ability to closely follow observed data, resulting in a good model fit. However, standard nonlinear regression currently lacks a reasonable distribution-based framework for indifference points, which limits its ability to adequately describe the inherent variability in the data. Software commonly assumes data follow a normal distribution with constant variance. However, typical indifference points do not…

Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces
Mauro Comi, Alessio Tonioni, Max Yang, Jonathan Tremblay, Valts Blukis, Yijiong Lin, Nathan F. Lepora, Laurence Aitchison
https://arxiv.org/abs/2403.20275

Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces
Touch and vision go hand in hand, mutually enhancing our ability to understand the world. From a research perspective, the problem of mixing touch and vision is underexplored and presents interesting challenges. To this end, we propose Tactile-Informed 3DGS, a novel approach that incorporates touch data (local depth maps) with multi-view vision data to achieve surface reconstruction and novel view synthesis. Our method optimises 3D Gaussian primitives to accurately model the object's geometry a…

This https://arxiv.org/abs/2403.13241 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Tackling Noisy Labels with Network Parameter Additive Decomposition
Given data with noisy labels, over-parameterized deep networks suffer overfitting mislabeled data, resulting in poor generalization. The memorization effect of deep networks shows that although the networks have the ability to memorize all noisy data, they would first memorize clean training data, and then gradually memorize mislabeled training data. A simple and effective method that exploits the memorization effect to combat noisy labels is early stopping. However, early stopping cannot disti…

Can ChatGPT Make Explanatory Inferences? Benchmarks for Abductive Reasoning
Paul Thagard
https://arxiv.org/abs/2404.18982 https://arx…

Can ChatGPT Make Explanatory Inferences? Benchmarks for Abductive Reasoning
Explanatory inference is the creation and evaluation of hypotheses that provide explanations, and is sometimes known as abduction or abductive inference. Generative AI is a new set of artificial intelligence models based on novel algorithms for generating text, images, and sounds. This paper proposes a set of benchmarks for assessing the ability of AI programs to perform explanatory inference, and uses them to determine the extent to which ChatGPT, a leading generative AI model, is capable of m…

The effects of long-term exposure to microgravity and body orientation relative to gravity on perceived traveled distance: #Astronauts have surprising ability to know how far they ‘fly’ in space: https://www.yorku.ca/news/2024/03/25/astronauts-have-surprising-ability-to-know-how-far-they-fly-in-space/ - York-led findings show astronauts can safely assess distances in weightless environment.

Cursing past me for lacking the ability to say 'no'. I think all my current problems are due to her bad decisions #academicChatter

So many #UniversalBasicIncome #guaranteedBasicIncome experiments show success. When are we going to actually make it public policy?

Sex-phobia has destroyed the cognitive ability of half the population

Google plans to limit news publishers to tracking users across five of their own websites under its Privacy Sandbox, which is set to replace third-party cookies (Jim Edwards/Press Gazette)
https://pressgazette.co.uk/marketing/google-related-website-sets-s…

Google plans to limit reader data sharing for publishers to groups of five sites
Google Related Website Sets plan for Sandbox cookie replacement could curb ability of publishers to compete with online advertising.

OmniNxt: A Fully Open-source and Compact Aerial Robot with Omnidirectional Visual Perception
Peize Liu, Chen Feng, Yang Xu, Yan Ning, Hao Xu, Shaojie Shen
https://arxiv.org/abs/2403.20085

OmniNxt: A Fully Open-source and Compact Aerial Robot with Omnidirectional Visual Perception
Adopting omnidirectional Field of View (FoV) cameras in aerial robots vastly improves perception ability, significantly advancing aerial robotics's capabilities in inspection, reconstruction, and rescue tasks. However, such sensors also elevate system complexity, e.g., hardware design, and corresponding algorithm, which limits researchers from utilizing aerial robots with omnidirectional FoV in their research. To bridge this gap, we propose OmniNxt, a fully open-source aerial robotics platform …

This https://arxiv.org/abs/2201.01813 has been replaced.
link: https://scholar.google.com/scholar?q=a

Reputation, Learning and Project Choice in Frictional Economies
I introduce a dynamic model of learning and random meetings between a long-lived agent with unknown ability and heterogeneous projects with observable qualities. The outcomes of the agent's matches with the projects determine her posterior belief about her ability (i.e., her reputation). In a self-type learning framework with endogenous outside option, I find the optimal project selection strategy of the agent, that determines what types of projects the agent with a certain level of reputation …

CVE-2024-28085 essentially exploits improperly filtered escape sequences provided via command line arguments to trick users into creating a fake sudo (aka superuser do) prompt on other users' terminals and trick them into entering their passwords.
However, for this to work, the mesg utility – which controls the ability to display messages from other users – has to be set to "y" (i.e., enabled) and the wall command has to have setgid permissions.
CVE-2024-28085 impac…

New Linux Bug Could Lead to User Password Leaks and Clipboard Hijacking
A new Linux vulnerability puts user passwords at risk. It exploits the "wall" command to potentially leak passwords on Ubuntu & Debian systems.

Why tf did #Cyberpunk2077 increase the ability level requirements for dialogues and other stuff on 2.0? This sucks

It's hard to overstate how the ease of deployment of PHP/WordPress has given countless people the ability to control their publishing platform. The harm that Automattic tarnishing that name and product (even thought the open source project and .com platforms are slightly different beasts) is immense.

Former Pitt CB M.J. Devonshire Receives New NFL Jersey Number https://www.yardbarker.com/nfl/articles/former_pitt_cb_mj_devonshire_receives_new_nfl_jersey_number/s1_17285_40309126

This https://arxiv.org/abs/2403.17165 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Building an Open-Source Community to Enhance Autonomic Nervous System Signal Analysis: DBDP-Autonomic
Smartphones and wearable sensors offer an unprecedented ability to collect peripheral psychophysiological signals across diverse timescales, settings, populations, and modalities. However, open-source software development has yet to keep pace with rapid advancements in hardware technology and availability, creating an analytical barrier that limits the scientific usefulness of acquired data. We propose a community-driven, open-source peripheral psychophysiological signal pre-processing and anal…

Dude, literally the only violence of any kind at these protests is when militarized police marches in and tear-gasses, pepper-sprays and brutalizes students and faculty at their own universities

This https://arxiv.org/abs/2306.11943 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Towards Understanding What Code Language Models Learned
Pre-trained language models are effective in a variety of natural language tasks, but it has been argued their capabilities fall short of fully learning meaning or understanding language. To understand the extent to which language models can learn some form of meaning, we investigate their ability to capture semantics of code beyond superficial frequency and co-occurrence. In contrast to previous research on probing models for linguistic features, we study pre-trained models in a setting that a…

Performance = effort * ability
I like to think of myself as a gifted slacker.

Telegram now lets Premium users turn their account into a business account, with options like a custom start page, greeting and away messages, and chatbots (Sarah Perez/TechCrunch)
https://techcrunch.com/2024/04/01/chat

Chat app Telegram challenges Meta with the launch of new 'Business' features and revenue-sharing | TechCrunch
Telegram Business introduces options like a customized start page, plus the ability to set business hours, use preset replies, greeting and away messages, chatbots, tags for chats, and more.

@… @… definitely feeling this! Our ability to grow communities has seen incredible fragmentation in the last year and it’s resulting in stuff being seen a lot less. (Not to mention the rise of algorithmically g…

SoK: Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Akila Wickramasekara, Frank Breitinger, Mark Scanlon
https://arxiv.org/abs/2402.19366

SoK: Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
The growing number of cases requiring digital forensic analysis raises concerns about law enforcement's ability to conduct investigations promptly. Consequently, this systemisation of knowledge paper delves into the potential and effectiveness of integrating Large Language Models (LLMs) into digital forensic investigation to address these challenges. A thorough literature review is undertaken, encompassing existing digital forensic models, tools, LLMs, deep learning techniques, and the utilisat…

#Microplastics are detected in human gallstones and have the ability to form large cholesterol-microplastic heteroaggregates
"Gallstones were collected from 16 patients [and] the presence of microplastics in the gallstones of all the patients [was] confirmed."
#plastic

Using @ConstantContact is a total nightmare. It's like a trip back to 2000. No ability to copy blocks between messages, limited ability to design anything anyway, no real user templates to speak of. Cut and paste is quite broken. I smell abandonware.

ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park, Jiachen Li
https://arxiv.org/abs/2402.18617

ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
Offline learning has become widely used due to its ability to derive effective policies from offline datasets gathered by expert demonstrators without interacting with the environment directly. Recent research has explored various ways to enhance offline learning efficiency by considering the characteristics (e.g., expertise level or multiple demonstrators) of the dataset. However, a different approach is necessary in the context of zero-sum games, where outcomes vary significantly based on the…

Sparse Sampling in Fractional Fourier Domain: Recovery Guarantees and Cram\'er-Rao Bounds
V\'aclav Pavl\'i\v{c}ek, Ayush Bhandari
https://arxiv.org/abs/2404.18850

Sparse Sampling in Fractional Fourier Domain: Recovery Guarantees and Cramér-Rao Bounds
Sampling theory in fractional Fourier Transform (FrFT) domain has been studied extensively in the last decades. This interest stems from the ability of the FrFT to generalize the traditional Fourier Transform, broadening the traditional concept of bandwidth and accommodating a wider range of functions that may not be bandlimited in the Fourier sense. Beyond bandlimited functions, sampling and recovery of sparse signals has also been studied in the FrFT domain. Existing methods for sparse recove…

Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights
Moein Heidari, Reza Azad, Sina Ghorbani Kolahi, Ren\'e Arimond, Leon Niggemeier, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Ilker Hacihaliloglu, Dorit Merhof
https://arxiv.org/abs/2403.19882

Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights
Intrigued by the inherent ability of the human visual system to identify salient regions in complex scenes, attention mechanisms have been seamlessly integrated into various Computer Vision (CV) tasks. Building upon this paradigm, Vision Transformer (ViT) networks exploit attention mechanisms for improved efficiency. This review navigates the landscape of redesigned attention mechanisms within ViTs, aiming to enhance their performance. This paper provides a comprehensive exploration of techniqu…

4/8
Moving on to weight management, L-Leucine plays a crucial role in helping regulate blood sugar levels and assists in weight loss endeavors. Its ability to enhance insulin sensitivity makes it a useful tool in managing diabetes and preventing spikes in blood glucose levels.

Suppressed self-diffusion of nanoscale constituents of a complex liquid
Christian P. N. Tanner, Vivian R. K. Wall, Mumtaz Gababa, Joshua Portner, Ahhyun Jeong, Matthew J. Hurley, Nicholas Leonard, Jonathan G. Raybin, James K. Utterback, Ahyoung Kim, Andrei Fluerasu, Yanwen Sun, Johannes Moeller, Alexey Zozulya, Wonhyuk Jo, Anders Madsen, Dmitri V. Talapin, Samuel W. Teitelbaum, Naomi S. Ginsberg

Suppressed self-diffusion of nanoscale constituents of a complex liquid
The ability to understand and ultimately control the transformations and properties of various nanoscale systems, from proteins to synthetic nanomaterial assemblies, hinges on the ability to directly elucidate their dynamics on their characteristic length and time scales. Here, we use MHz X-ray photon correlation spectroscopy (XPCS) to directly elucidate the characteristic microsecond-dynamics of density fluctuations of semiconductor nanocrystals (NCs), not only in a colloidal dispersion but al…

🦎 Chameleons inspire new multicolor 3D-printing technology
#technology

Chameleons inspire new multicolor 3D-printing technology
Inspired by the color-changing ability of chameleons, researchers have developed a sustainable technique to 3D-print multiple, dynamic colors from a single ink.

Sequential transport maps using SoS density estimation and $\alpha$-divergences
Benjamin Zanger, Tiangang Cui, Martin Schreiber, Olivier Zahm
https://arxiv.org/abs/2402.17943

Sequential transport maps using SoS density estimation and $α$-divergences
Transport-based density estimation methods are receiving growing interest because of their ability to efficiently generate samples from the approximated density. We further invertigate the sequential transport maps framework proposed from arXiv:2106.04170 arXiv:2303.02554, which builds on a sequence of composed Knothe-Rosenblatt (KR) maps. Each of those maps are built by first estimating an intermediate density of moderate complexity, and then by computing the exact KR map from a reference dens…

This https://arxiv.org/abs/2404.09709 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context
Existing methods often adjust representations adaptively only after aggregating user behavior sequences. This coarse-grained approach to re-weighting the entire user sequence hampers the model's ability to accurately model the user interest migration across different scenarios. To enhance the model's capacity to capture user interests from historical behavior sequences in each scenario, we develop a ranking framework named the Scenario-Adaptive Fine-Grained Personalization Network (SFPNet), whi…

"Tell the City of Philadelphia to end the bike lane parking permits on Spruce and Pine! We've done most of the work for you: sign the petition, add a comment, and send a custom email in seconds "
#philly #philadelphia

Withdraw the Bike Lane Parking Permits on Spruce and Pine Streets
Every Philadelphian, regardless of age or ability, deserves safe, accessible bike lanes to get around. Unfortunately, we find our bike lanes on Spruce and Pine streets obstructed by motor vehicles each weekend to accommodate congregants who choose to drive. While everyone has the right to worship as they choose, no one has the right to put others in danger by parking in the bike lane.

“Mandate for Leadership: The Conservative Promise”
— an 887-page document proposing to remake the executive branch, department by department, agency by agency, office by office
— is an off-the-shelf governing plan for a leader who took office last time with no clear plan and no real ability to govern.
The book which was edited by Paul Dans and Steven Groves of the #Heritage

Opinion | Trump’s Allies Don’t Want to Destroy the ‘Deep State.’ They Want to Seize It.
The former president’s allies don’t want to destroy the “deep state.” They want to seize it.

This https://arxiv.org/abs/2402.10189 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Uncertainty Quantification for In-Context Learning of Large Language Models
In-context learning has emerged as a groundbreaking ability of Large Language Models (LLMs) and revolutionized various fields by providing a few task-relevant demonstrations in the prompt. However, trustworthy issues with LLM's response, such as hallucination, have also been actively discussed. Existing works have been devoted to quantifying the uncertainty in LLM's response, but they often overlook the complex nature of LLMs and the uniqueness of in-context learning. In this work, we delve int…

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models
Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa
https://arxiv.org/abs/2403.20331

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models
This paper introduces a novel and significant challenge for Vision Language Models (VLMs), termed Unsolvable Problem Detection (UPD). UPD examines the VLM's ability to withhold answers when faced with unsolvable problems in the context of Visual Question Answering (VQA) tasks. UPD encompasses three distinct settings: Absent Answer Detection (AAD), Incompatible Answer Set Detection (IASD), and Incompatible Visual Question Detection (IVQD). To deeply investigate the UPD problem, extensive experim…

This https://arxiv.org/abs/2404.05576 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with Reward-Dependent Adjustment Mechanisms
Generative Flow Networks (GFlowNets or GFNs) are probabilistic models predicated on Markov flows, and they employ specific amortization algorithms to learn stochastic policies that generate compositional substances including biomolecules, chemical materials, etc. With a strong ability to generate high-performance biochemical molecules, GFNs accelerate the discovery of scientific substances, effectively overcoming the time-consuming, labor-intensive, and costly shortcomings of conventional mater…

Algorithmically Expressive, Always-Terminating Model for Reversible Computation
Matteo PalazzoUniversit\`a di Torino, Luca RoversiUniversit\`a di Torino
https://arxiv.org/abs/2402.19012

Algorithmically Expressive, Always-Terminating Model for Reversible Computation
Concerning classical computational models able to express all the Primitive Recursive Functions (PRF), there are interesting results regarding limits on their algorithmic expressiveness or, equivalently, efficiency, namely the ability to express algorithms with minimal computational cost. By introducing the reversible programming model Forest, at our knowledge, we provide a first study of analogous properties, adapted to the context of reversible computational models that can represent all the …

Sex-phobia has destroyed the cognitive ability of half the population

This https://arxiv.org/abs/2311.17693 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Toward a Surgeon-in-the-Loop Ophthalmic Robotic Apprentice using Reinforcement and Imitation Learning
Robotic-assisted surgical systems have demonstrated significant potential in enhancing surgical precision and minimizing human errors. However, existing systems lack the ability to accommodate the unique preferences and requirements of individual surgeons. Additionally, they primarily focus on general surgeries (e.g., laparoscopy) and are not suitable for highly precise microsurgeries, such as ophthalmic procedures. Thus, we propose a simulation-based image-guided approach for surgeon-centered …

Brock Bowers' favorite activity to do is a perfect fit for what Las Vegas Raiders fans crave https://www.yardbarker.com/nfl/articles/brock_bowers_favorite_activity_to_do_is_a_perfec…

Brock Bowers' favorite activity to do is a perfect fit for what Las Vegas Raiders fans crave
The Las Vegas Raiders made a significant addition to their offense in the recent draft with the selection of Brock Bowers. Bowers, widely regarded as one of the best offensive players in the entire draft, brings a wealth of talent and potential to the team. His exceptional speed, agility, and catching ability make him a versatile threat on the field. While the Raiders initially had other positions in mind, the opportunity to acquire such a promising player, who could potentially transform their…

High Expectations: An Observational Study of Programming and Cannabis Intoxication
Wenxin He, Manasvi Parikh, Westley Weimer, Madeline Endres
https://arxiv.org/abs/2402.19194

High Expectations: An Observational Study of Programming and Cannabis Intoxication
Anecdotal evidence of cannabis use by professional programmers abounds. Recent studies have found that some professionals regularly use cannabis while programming even for work-related tasks. However, accounts of the impacts of cannabis on programming vary widely and are often contradictory. For example, some programmers claim that it impairs their ability to generate correct solutions while others claim it enhances creativity and focus. There remains a need for an empirical understanding of th…

This https://arxiv.org/abs/2303.00612 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Has the Virtualization of the Face Changed Facial Perception? A Study of the Impact of Photo Editing and Augmented Reality on Facial Perception
Augmented reality and other photo editing filters are popular methods used to modify faces online. Considering the important role of facial perception in communication, how do we perceive this increasing number of modified faces? In this paper we present the results of six surveys that measure familiarity with different styles of facial filters, perceived strangeness of faces edited with different filters, and ability to discern whether images are filtered. Our results demonstrate that faces mo…

The definition of what constitutes an "open system" has really been sanded down by "AI". Just dropping random weights and a bit of network structure counts as open: No idea how and on what something was trained, which data was filtered out, which earlier training runs were discarded.
It's not really open at all. Maybe "free" as in "free beer" but from learning potential, ability to understand the system and maybe extend it, it's not any …

Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights
Moein Heidari, Reza Azad, Sina Ghorbani Kolahi, Ren\'e Arimond, Leon Niggemeier, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Ilker Hacihaliloglu, Dorit Merhof
https://arxiv.org/abs/2403.19882

Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights
Intrigued by the inherent ability of the human visual system to identify salient regions in complex scenes, attention mechanisms have been seamlessly integrated into various Computer Vision (CV) tasks. Building upon this paradigm, Vision Transformer (ViT) networks exploit attention mechanisms for improved efficiency. This review navigates the landscape of redesigned attention mechanisms within ViTs, aiming to enhance their performance. This paper provides a comprehensive exploration of techniqu…

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Perhaps most compelling are Citrulline’s favorable impacts on heart health. Improved blood flow via Citrulline supplementation can aid in managing hypertension and cardiovascular conditions. A study outlined in "Nutrition Research" in 2016 illustrated Citrulline's ability to lower systolic blood pressure in hypertensive adults, underscoring its potential in fostering a healthier heart and vascular system.

Physics-Informed Machine Learning for the Inverse Design of Wave Scattering Clusters
Joshua R. Tempelman, Tobias Weidemann, Eric B. Flynn, Kathryn H. Matlack, Alexander F. Vakakis
https://arxiv.org/abs/2402.17816

Physics-Informed Machine Learning for the Inverse Design of Wave Scattering Clusters
Clusters of wave-scattering oscillators offer the ability to passively control wave energy in elastic continua. However, designing such clusters to achieve a desired wave energy pattern is a highly nontrivial task. While the forward scattering problem may be readily analyzed, the inverse problem is very challenging as it is ill-posed, high-dimensional, and known to admit non-unique solutions. Therefore, the inverse design of multiple scattering fields and remote sensing of scattering elements r…

This https://arxiv.org/abs/2404.09709 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context
Existing methods often adjust representations adaptively only after aggregating user behavior sequences. This coarse-grained approach to re-weighting the entire user sequence hampers the model's ability to accurately model the user interest migration across different scenarios. To enhance the model's capacity to capture user interests from historical behavior sequences in each scenario, we develop a ranking framework named the Scenario-Adaptive Fine-Grained Personalization Network (SFPNet), whi…

ISW: Russia has not demonstrated ability to secure significant gains across large territories: https://benborges.xyz/2024/02/19/isw-russia-has.html

This https://arxiv.org/abs/2403.19154 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

STaR-GATE: Teaching Language Models to Ask Clarifying Questions
When prompting language models to complete a task, users often leave important aspects unsaid. While asking questions could resolve this ambiguity \citep[GATE;][]{li2023eliciting}, models often struggle to ask good questions. We explore a language model's ability to self-improve \citep[STaR;][]{zelikman2022star} by rewarding the model for generating useful questions -- a simple method we dub STaR-GATE. We generate a synthetic dataset of 25,500 unique persona-task prompts to simulate conversatio…

He asks the critical question:
How do we measure it?
Then goes on to give an opinion on ability to consent and maturity, two abstract things that cannot be measured at all by anyone. Putting people in prison because you have vague feelings about completely subjective stuff is a moral atrocity.

This https://arxiv.org/abs/2311.17693 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Toward a Surgeon-in-the-Loop Ophthalmic Robotic Apprentice using Reinforcement and Imitation Learning
Robotic-assisted surgical systems have demonstrated significant potential in enhancing surgical precision and minimizing human errors. However, existing systems lack the ability to accommodate the unique preferences and requirements of individual surgeons. Additionally, they primarily focus on general surgeries (e.g., laparoscopy) and are not suitable for highly precise microsurgeries, such as ophthalmic procedures. Thus, we propose a simulation-based image-guided approach for surgeon-centered …

Japan's FTC says Google blocked Yahoo Japan from accessing targeted ad revenue from mobile searches between 2015 and 2022; Alphabet changed its practices (Takashi Mochizuki/Bloomberg)
https://www.bloomberg.com/news/articles/20

Japan Watchdog Says Google Hurt Local Rival’s Ability to Compete
Japanese antitrust regulator said Alphabet Inc.’s Google used tactics that limited Yahoo Japan’s ability to compete in targeted search ads, and it promised to keep monitoring the US firm.

This https://arxiv.org/abs/2312.10893 has been replaced.
link: https://scholar.google.com/scholar?q=a

The Metacognitive Demands and Opportunities of Generative AI
Generative AI (GenAI) systems offer unprecedented opportunities for transforming professional and personal work, yet present challenges around prompting, evaluating and relying on outputs, and optimizing workflows. We argue that metacognition$\unicode{x2013}$the psychological ability to monitor and control one's thoughts and behavior$\unicode{x2013}$offers a valuable lens to understand and design for these usability challenges. Drawing on research in psychology and cognitive science, and recent…

This https://arxiv.org/abs/2312.17267 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Improving Low-resource Prompt-based Relation Representation with Multi-view Decoupling Learning
Recently, prompt-tuning with pre-trained language models (PLMs) has demonstrated the significantly enhancing ability of relation extraction (RE) tasks. However, in low-resource scenarios, where the available training data is scarce, previous prompt-based methods may still perform poorly for prompt-based representation learning due to a superficial understanding of the relation. To this end, we highlight the importance of learning high-quality relation representation in low-resource scenarios fo…

2/6
Citrulline, a non-essential amino acid, has demonstrated profound effects on increasing blood flow and enhancing endurance. A pivotal study in the "Journal of Applied Physiology" in 2010 highlighted how cyclists supplementing with Citrulline could extend their cycling time by 12%, compared to those who did not. This performance boost is attributed to Citrulline’s ability to elevate nitric oxide levels, thereby improving oxygen delivery to muscles during strenuous activities.

Towards Backward-Compatible Continual Learning of Image Compression
Zhihao Duan, Ming Lu, Justin Yang, Jiangpeng He, Zhan Ma, Fengqing Zhu
https://arxiv.org/abs/2402.18862

Towards Backward-Compatible Continual Learning of Image Compression
This paper explores the possibility of extending the capability of pre-trained neural image compressors (e.g., adapting to new data or target bitrates) without breaking backward compatibility, the ability to decode bitstreams encoded by the original model. We refer to this problem as continual learning of image compression. Our initial findings show that baseline solutions, such as end-to-end fine-tuning, do not preserve the desired backward compatibility. To tackle this, we propose a knowledge…

A Fully Screen-Printed Vanadium-Dioxide Switches Based Wideband Reconfigurable Intelligent Surface for 5G Bands
Yiming Yang, Mohammad Vaseem, Ruiqi Wang, Behrooz Makki, Atif Shamim
https://arxiv.org/abs/2404.19646

A Fully Screen-Printed Vanadium-Dioxide Switches Based Wideband Reconfigurable Intelligent Surface for 5G Bands
Reconfigurable Intelligent Surface (RIS) is attracting more and more research interest because of its ability to reprogram the radio environment. Designing and implementing the RIS, however, is challenging because of limitations of printed circuit board (PCB) technology related to manufacturing of large sizes as well as the cost of switches. Thus, a low-cost manufacturing process suitable for large size and volume of devices, such as screen-printing is necessary. In this paper, for the first ti…

This https://arxiv.org/abs/2304.11821 has been replaced.
link: https://scholar.google.com/scholar?q=a

Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving
Cooperative perception can significantly improve the perception performance of autonomous vehicles beyond the limited perception ability of individual vehicles by exchanging information with neighbor agents through V2X communication. However, most existing work assume ideal communication among agents, ignoring the significant and common \textit{interruption issues} caused by imperfect V2X communication, where cooperation agents can not receive cooperative messages successfully and thus fail to …

Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models
Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael F\"arber, Frauke Kreuter, Hinrich Sch\"utze
https://arxiv.org/abs/2402.18397

Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models
Despite the predominance of English in their training data, English-centric Large Language Models (LLMs) like GPT-3 and LLaMA display a remarkable ability to perform multilingual tasks, raising questions about the depth and nature of their cross-lingual capabilities. This paper introduces the decomposed prompting approach to probe the linguistic structure understanding of these LLMs in sequence labeling tasks. Diverging from the single text-to-text prompt, our method generates for each token of…

HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System
Youngseung Jeon, Jaehoon Kim, Sohyun Park, Yunyong Ko, Seongeun Ryu, Sang-Wook Kim, Kyungsik Han
https://arxiv.org/abs/2402.18222

HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System
Considerable efforts are currently underway to mitigate the negative impacts of echo chambers, such as increased susceptibility to fake news and resistance towards accepting scientific evidence. Prior research has presented the development of computer systems that support the consumption of news information from diverse political perspectives to mitigate the echo chamber effect. However, existing studies still lack the ability to effectively support the key processes of news information consump…

This https://arxiv.org/abs/2309.09865 has been replaced.
link: https://scholar.google.com/scholar?q=a

Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight
Scene transfer for vision-based mobile robotics applications is a highly relevant and challenging problem. The utility of a robot greatly depends on its ability to perform a task in the real world, outside of a well-controlled lab environment. Existing scene transfer end-to-end policy learning approaches often suffer from poor sample efficiency or limited generalization capabilities, making them unsuitable for mobile robotics applications. This work proposes an adaptive multi-pair contrastive l…

This https://arxiv.org/abs/2305.08396 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
Since their emergence, Convolutional Neural Networks (CNNs) have made significant strides in medical image analysis. However, the local nature of the convolution operator may pose a limitation for capturing global and long-range interactions in CNNs. Recently, Transformers have gained popularity in the computer vision community and also in medical image segmentation due to their ability to process global features effectively. The scalability issues of the self-attention mechanism and lack of th…

Tokenization Is More Than Compression
Craig W. Schmidt, Varshini Reddy, Haoran Zhang, Alec Alameddine, Omri Uzan, Yuval Pinter, Chris Tanner
https://arxiv.org/abs/2402.18376

Tokenization Is More Than Compression
Tokenization is a foundational step in Natural Language Processing (NLP) tasks, bridging raw text and language models. Existing tokenization approaches like Byte-Pair Encoding (BPE) originate from the field of data compression, and it has been suggested that the effectiveness of BPE stems from its ability to condense text into a relatively small number of tokens. We test the hypothesis that fewer tokens lead to better downstream performance by introducing PathPiece, a new tokenizer that segment…

This https://arxiv.org/abs/2402.18222 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System
Considerable efforts are currently underway to mitigate the negative impacts of echo chambers, such as increased susceptibility to fake news and resistance towards accepting scientific evidence. Prior research has presented the development of computer systems that support the consumption of news information from diverse political perspectives to mitigate the echo chamber effect. However, existing studies still lack the ability to effectively support the key processes of news information consump…

Fusion Dynamical Systems with Machine Learning in Imitation Learning: A Comprehensive Overview
Yingbai Hu, Fares J. Abu-Dakka, Fei Chen, Xiao Luo, Zheng Li, Alois Knoll, Weiping Ding
https://arxiv.org/abs/2403.19916

Fusion Dynamical Systems with Machine Learning in Imitation Learning: A Comprehensive Overview
Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds significant promise for capturing expert motor skills through efficient imitation, facilitating adept navigation of complex scenarios. A persistent challenge in IL lies in extending generalization from historical demonstrations, enabling the acquisition of new skills without re-teaching. Dynamical system-based IL (DSIL) emerges as a significant subset of IL methodologies, offering the ability to learn trajecto…

This https://arxiv.org/abs/2305.08396 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
Since their emergence, Convolutional Neural Networks (CNNs) have made significant strides in medical image analysis. However, the local nature of the convolution operator may pose a limitation for capturing global and long-range interactions in CNNs. Recently, Transformers have gained popularity in the computer vision community and also in medical image segmentation due to their ability to process global features effectively. The scalability issues of the self-attention mechanism and lack of th…

This https://arxiv.org/abs/2402.12374 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding
As the usage of large language models (LLMs) grows, performing efficient inference with these models becomes increasingly important. While speculative decoding has recently emerged as a promising direction for speeding up inference, existing methods are limited in their ability to scale to larger speculation budgets, and adapt to different hyperparameters and hardware. This paper introduces Sequoia, a scalable, robust, and hardware-aware algorithm for speculative decoding. To attain better scal…

This https://arxiv.org/abs/2402.16671 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Structured data sources, such as tables, graphs, and databases, are ubiquitous knowledge sources. Despite the demonstrated capabilities of large language models (LLMs) on plain text, their proficiency in interpreting and utilizing structured data remains limited. Our investigation reveals a notable deficiency in LLMs' ability to process structured data, e.g., ChatGPT lags behind state-of-the-art (SoTA) model by an average of 35%. To augment the Structured Knowledge Grounding (SKG) capabilities …

Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark
Zhikun Xu, Yinghui Li, Ruixue Ding, Xinyu Wang, Boli Chen, Yong Jiang, Xiaodong Deng, Jianxin Ma, Hai-Tao Zheng, Wenlian Lu, Pengjun Xie, Chang Zhou, Fei Huang
https://arxiv.org/abs/2402.19248

Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark
How to better evaluate the capabilities of Large Language Models (LLMs) is the focal point and hot topic in current LLMs research. Previous work has noted that due to the extremely high cost of iterative updates of LLMs, they are often unable to answer the latest dynamic questions well. To promote the improvement of Chinese LLMs' ability to answer dynamic questions, in this paper, we introduce CDQA, a Chinese Dynamic QA benchmark containing question-answer pairs related to the latest news on th…

This https://arxiv.org/abs/2402.13764 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

CriticBench: Evaluating Large Language Models as Critic
Critique ability are crucial in the scalable oversight and self-improvement of Large Language Models (LLMs). While many recent studies explore the critique ability of LLMs to judge and refine flaws in generations, how to comprehensively and reliably measure the critique abilities of LLMs is under-explored. This paper introduces \shortname, a novel benchmark designed to comprehensively and reliably evaluate four key critique ability dimensions of LLMs: feedback, comparison, refinement and meta-f…

Expressivity and Speech Synthesis
Andreas Triantafyllopoulos, Bj\"orn W. Schuller
https://arxiv.org/abs/2404.19363 https://arxiv.org/pdf/2404.19363
arXiv:2404.19363v1 Announce Type: new
Abstract: Imbuing machines with the ability to talk has been a longtime pursuit of artificial intelligence (AI) research. From the very beginning, the community has not only aimed to synthesise high-fidelity speech that accurately conveys the semantic meaning of an utterance, but also to colour it with inflections that cover the same range of affective expressions that humans are capable of. After many years of research, it appears that we are on the cusp of achieving this when it comes to single, isolated utterances. This unveils an abundance of potential avenues to explore when it comes to combining these single utterances with the aim of synthesising more complex, longer-term behaviours. In the present chapter, we outline the methodological advances that brought us so far and sketch out the ongoing efforts to reach that coveted next level of artificial expressivity. We also discuss the societal implications coupled with rapidly advancing expressive speech synthesis (ESS) technology and highlight ways to mitigate those risks and ensure the alignment of ESS capabilities with ethical norms.