Tootfinder

This https://arxiv.org/abs/2403.15879 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

TrustSQL: A Reliability Benchmark for Text-to-SQL Models with Diverse Unanswerable Questions
Recent advances in large language models (LLMs) have led to significant improvements in translating natural language questions into SQL queries. While achieving high accuracy in SQL generation is crucial, little is known about the extent to which these text-to-SQL models can reliably handle diverse types of questions encountered during real-world deployment, including unanswerable ones. To explore this aspect, we introduce TrustSQL, a new benchmark designed to assess the reliability of text-to-…

@… Goodman Games has been doing old school stuff before "OSR" was even invented and they have have maintained a remarkably diverse and welcoming community for years, which may be a bit surprising for some: The old school RPG best known for killing lots and lots of PC has one of the nicest, least toxic crowds in pen & paper gaming.

Plus: This IS a…

2 weeks left! 🐦 Early Bird registration for #TNC24 is still open! Every TNC brings our diverse #community together - in person or online - to learn together, support each-other's work, discuss our challenges, and celebrate our success. Join us in Rennes for this year's TNC, hosted by

Protoplanetary Disk Polarization at Multiple Wavelengths: Are Dust Populations Diverse?
Rachel E. Harrison, Zhe-Yu Daniel Lin, Leslie W. Looney, Zhi-Yun Li, Haifeng Yang, Ian Stephens, Manuel Fern\'andez-L\'opez
https://arxiv.org/abs/2404.10217

Protoplanetary Disk Polarization at Multiple Wavelengths: Are Dust Populations Diverse?
Millimeter and sub-millimeter observations of continuum linear dust polarization provide insight into dust grain growth in protoplanetary disks, which are the progenitors of planetary systems. We present the results of the first survey of dust polarization in protoplanetary disks at 870 $μ$m and 3 mm. We find that protoplanetary disks in the same molecular cloud at similar evolutionary stages can exhibit different correlations between observing wavelength and polarization morphology and fracti…

Voor het meerendeel van de kiezers van de vier coalitiepartijen zal de nieuwe regering tot grote teleurstelling leiden, tot diepe deceptie. Dat blijkt nu al uit de diverse reacties op de plannen. Er verandert mogelijk veel, maar bitter weinig ten goede, vrees ik. We gaan het erg gauw zien.

Nuove Campagne Malevole di Scattered Spider: Una Minaccia in Crescita
https://poliverso.org/display/0477a01e-442c1479-8b97f527d0cce986
Nuove Campagne Malevole di Scattered Spider: Una Minaccia in Crescita Il gruppo di attori di minacce Scattered Spi…

> In 1997, a group of architects at North Carolina State University realized that individuals are diverse and design of physical environments and products should be adaptable to individuals' needs… they should be "universal".
https://dequeuniversity.c…

Nicorus – Yuna EP
#byncnd

Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem
Denis Antipov, Aneta Neumann, Frank Neumann. Andrew M. Sutton
https://arxiv.org/abs/2404.11496

Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem
The diversity optimization is the class of optimization problems, in which we aim at finding a diverse set of good solutions. One of the frequently used approaches to solve such problems is to use evolutionary algorithms which evolve a desired diverse population. This approach is called evolutionary diversity optimization (EDO). In this paper, we analyse EDO on a 3-objective function LOTZ$_k$, which is a modification of the 2-objective benchmark function (LeadingOnes, TrailingZeros). We prove…

Iedereen is beperkt. En dat kan leuke conflicten opleveren. Collega Jeroen van @… schrijft:
"Beperkingen zijn geen uitzondering op de regel. Het is een uitzonderlijk diverse regel. Eentje die schijt heeft aan stereotypen en het idee van een vast omkaderde doelgroep."

Iedereen is beperkt - Gebruiker Centraal
Beperkingen zijn geen uitzondering op de regel. Het is een uitzonderlijk diverse regel die schijt heeft aan stereotypen en doelgroepen.

Flores to take part in NFL's accelerator program https://www.espn.com/nfl/story/_/id/40157949/brian-flores-take-part-nfl-coach-accelerator-program

Brian Flores to take part in NFL's coach accelerator program - ESPN
Brian Flores will be among the participants in the NFL's fifth accelerator program, an event hosted by the league to strengthen the pipeline of diverse candidates for front office and coaching positions.

Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion
Xinghan Wang, Zixi Kang, Yadong Mu
https://arxiv.org/abs/2404.11375 https:…

Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion
Human motion understanding is a fundamental task with diverse practical applications, facilitated by the availability of large-scale motion capture datasets. Recent studies focus on text-motion tasks, such as text-based motion generation, editing and question answering. In this study, we introduce the novel task of text-based human motion grounding (THMG), aimed at precisely localizing temporal segments corresponding to given textual descriptions within untrimmed motion sequences. Capturing glo…

spanish_highschools: Spanish high schools (2023)
Directed networks of friendships obtained through a social survey of spanish high school students.
This network has 702 nodes and 11960 edges.
Tags: Social, Offline, Weighted, Metadata
https://networks.skewed.de/net/spanish

The Priest ⚔️🏕😭
Dramatized Fantasy Adventure | A priest of Nelena finds a girl destined to be the next guardian of the realm. He must deliver her before the man who killed the previous guardian catches up to them.
Cast of Diverse actors including POCs. The story's main character also deals with mental illness.
...
https://www.…

The Priest ⚔️🏕😭
Dramatized Fantasy Adventure | A priest of Nelena finds a girl destined to be the next guardian of the realm. He must deliver her before the man who killed the previous guardian catches up to them. Cast of Diverse actors including POCs. The story's main character also deals with mental illness. 0 seasons, 4 episodes as of Jul 31, 2023.

Boeing: US-Luftfahrtaufsicht findet diverse Probleme in der Produktion
Die Ermittlungen zum jüngsten Beinahe-Unglück mit einer Boeing 737-9 Max fördern Probleme in der Fertigung zutage.
https…

"Weak Ties Matter"
This is really closely related to beliefs I hold about community, too. People focus far too much on "like me" and end up either missing or forming fragile cliques.
When you connect with a more diverse network, you end up with healthier community.
https://techcrunch.com/2016/04/26/weak-ties-matter/

This https://arxiv.org/abs/2210.07887 has been replaced.
link: https://scholar.google.com/scholar?q=a

E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories
Robotics grasping refers to the task of making a robotic system pick an object by applying forces and torques on its surface. Despite the recent advances in data-driven approaches, grasping remains an unsolved problem. Most of the works on this task are relying on priors and heavy constraints to avoid the exploration problem. Novelty Search (NS) refers to evolutionary algorithms that replace selection of best performing individuals with selection of the most novel ones. Such methods have alread…

This https://arxiv.org/abs/2404.09151 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development
Deploying machine learning (ML) on diverse computing platforms is crucial to accelerate and broaden their applications. However, it presents significant software engineering challenges due to the fast evolution of models, especially the recent \llmfull{s} (\llm{s}), and the emergence of new computing platforms. Current ML frameworks are primarily engineered for CPU and CUDA platforms, leaving a big gap in enabling emerging ones like Metal, Vulkan, and WebGPU. While a traditional bottom-up dev…

Wir sind heute in der #Schule, in der diverse Firmen #Ausbildungsplätze und duale #Studiengänge bewerben.
Ich wünschte, für mich.

Dynamic Frequency-Based Fingerprinting Attacks against Modern Sandbox Environments
Debopriya Roy Dipta, Thore Tiemann, Berk Gulmezoglu, Eduard Marin Fabregas, Thomas Eisenbarth
https://arxiv.org/abs/2404.10715

Dynamic Frequency-Based Fingerprinting Attacks against Modern Sandbox Environments
The cloud computing landscape has evolved significantly in recent years, embracing various sandboxes to meet the diverse demands of modern cloud applications. These sandboxes encompass container-based technologies like Docker and gVisor, microVM-based solutions like Firecracker, and security-centric sandboxes relying on Trusted Execution Environments (TEEs) such as Intel SGX and AMD SEV. However, the practice of placing multiple tenants on shared physical hardware raises security and privacy co…

uspol dept state global warming
non-political-ish parts of US gov:
military: global warming poses an unrest risk for various countries, it impacts national defense
energy committees: renewable energy is the cheapest, most diverse, and most secure source for energy.
nice to see that compared to the lobbying.

This https://arxiv.org/abs/2404.09782 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

ChainScience 2024, Conference Proceedings
ChainScience 2024, the second edition of the interdisciplinary conference, brought together academics, practitioners, and industry experts to explore novel developments in the realm of distributed ledger technologies. The conference aimed to bridge diverse fields such as informatics, business, economics, finance, regulation, law, mathematics, physics, and complexity science. The papers presented in these conference proceedings address emerging topics such as AI/ML applications to blockchain, DL…

Hey friends, we just finished a 6h walk with about 600m elevation from #badWiessee to #lenggries
We walked some new and some well known trails. Enjoyed the sound of a stream and also cleaned up nature a bit.
Oh and everything by foot or public transport (train and bus). We've be…

This https://arxiv.org/abs/2310.08391 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
Transformers pretrained on diverse tasks exhibit remarkable in-context learning (ICL) capabilities, enabling them to solve unseen tasks solely based on input contexts without adjusting model parameters. In this paper, we study ICL in one of its simplest setups: pretraining a linearly parameterized single-layer linear attention model for linear regression with a Gaussian prior. We establish a statistical task complexity bound for the attention model pretraining, showing that effective pretrainin…

A Unified Deep Transfer Learning Model for Accurate IoT Localization in Diverse Environments
Abdullahi Isa Ahmed, Yaya Etiabi, Ali Waqar Azim, El Mehdi Amhoud
https://arxiv.org/abs/2405.09960

This https://arxiv.org/abs/2402.10242 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Signed Diverse Multiplex Networks: Clustering and Inference
The paper introduces a Signed Generalized Random Dot Product Graph (SGRDPG) model, which is a variant of the Generalized Random Dot Product Graph (GRDPG), where, in addition, edges can be positive or negative. The setting is extended to a multiplex version, where all layers have the same collection of nodes and follow the SGRDPG. The only common feature of the layers of the network is that they can be partitioned into groups with common subspace structures, while otherwise matrices of connectio…

Automating Personalized Parsons Problems with Customized Contexts and Concepts
Andre del Carpio Gutierrez, Paul Denny, Andrew Luxton-Reilly
https://arxiv.org/abs/2404.10990

Automating Personalized Parsons Problems with Customized Contexts and Concepts
Parsons problems provide useful scaffolding for introductory programming students learning to write code. However, generating large numbers of high-quality Parsons problems that appeal to the diverse range of interests in a typical introductory course is a significant challenge for educators. Large language models (LLMs) may offer a solution, by allowing students to produce on-demand Parsons problems for topics covering the breadth of the introductory programming curriculum, and targeting thema…

This https://arxiv.org/abs/2403.08082 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGT_…

Data Monetization Pathways and Complex Dynamic Game Equilibrium Analysis in the Energy Industry
As the most critical production factor in the era of the digital economy, data will have a significant impact on social production and development. Energy enterprises possess data that is interconnected with multiple industries, characterized by diverse needs, sensitivity, and long-term nature. The path to monetizing energy enterprises' data is challenging yet crucial. This paper explores the game-theoretic aspects of the data monetization process in energy enterprises by considering the relati…

This https://arxiv.org/abs/2305.10300 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

One-Prompt to Segment All Medical Images
Large foundation models, known for their strong zero-shot generalization, have excelled in visual and language applications. However, applying them to medical image segmentation, a domain with diverse imaging types and target labels, remains an open challenge. Current approaches, such as adapting interactive segmentation models like Segment Anything Model (SAM), require user prompts for each sample during inference. Alternatively, transfer learning methods like few/one-shot models demand labele…

NN-Defined Modulator: Reconfigurable and Portable Software Modulator on IoT Gateways
Jiazhao Wang, Wenchao Jiang, Ruofeng Liu, Bin Hu, Demin Gao, Shuai Wang
https://arxiv.org/abs/2403.09861

NN-Defined Modulator: Reconfigurable and Portable Software Modulator on IoT Gateways
A physical-layer modulator is a vital component for an IoT gateway to map the symbols to signals. However, due to the soldered hardware chipsets on the gateway's motherboards or the diverse toolkits on different platforms for the software radio, the existing solutions either have limited extensibility or are platform-specific. Such limitation is hard to ignore when modulation schemes and hardware platforms have become extremely diverse. This paper presents a new paradigm of using neural network…

"Across virtually every aspect of life, people’s freedoms are under assault in the United States. The forces attacking these diverse freedoms ultimately want to create a rigid, restrictive society according to their worldview only, with little room for those of different beliefs, values, or expression."
https://<…

Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
Zhiyong Cheng, Jianhua Dong, Fan Liu, Lei Zhu, Xun Yang, Meng Wang
https://arxiv.org/abs/2404.11519

Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
Multi-behavioral recommender systems have emerged as a solution to address data sparsity and cold-start issues by incorporating auxiliary behaviors alongside target behaviors. However, existing models struggle to accurately capture varying user preferences across different behaviors and fail to account for diverse item preferences within behaviors. Various user preference factors (such as price or quality) entangled in the behavior may lead to sub-optimization problems. Furthermore, these model…

Het is natuurlijk hun goed recht cq keuze, maar NSC en VVD hebben er dus geen enkel probleem mee samen aan een hoofdlijnen akkoord te werken met de PVV. Ondanks de standpunten van die partij op diverse gebieden en vertoonde gedrag.
#politiek #kabinet

Vision Pro: Bald geteilte Umgebungen, billigere Headsets und bequemere Polster
Nach visionOS 1.1 stehen diverse weitere Neuerungen bei der Vision Pro an – nicht nur bei Apple. Ein News-Roundup.

Full Dem. control of government would make making NH diverse enough for us to deserve to keep our presidential primary #FITN more likely to be enacted, which would be wise.

NNCTC: Physical Layer Cross-Technology Communication via Neural Networks
Haoyu Wang, Jiazhao Wang, Demin Gao, Wenchao Jiang
https://arxiv.org/abs/2403.10014

NNCTC: Physical Layer Cross-Technology Communication via Neural Networks
Cross-technology communication(CTC) enables seamless interactions between diverse wireless technologies. Most existing work is based on reversing the transmission path to identify the appropriate payload to generate the waveform that the target devices can recognize. However, this method suffers from many limitations, including dependency on specific technologies and the necessity for intricate algorithms to mitigate distortion. In this work, we present NNCTC, a Neural-Network-based Cross-Techn…

Wenn schon neues Landesmarketing, dann richtig!

wow. Lobby Stedin werkt in Utrecht: wethouder en raadsleden willen publieke laadpalen tussen 4 uur 's middags en 9 uur 's avonds uitschakelen: https://www.rtvutrecht.nl/nieuws/3710260/netcongestie-elektrische-autos-he…

Netcongestie: elektrische auto's helemaal niet meer opladen in Utrecht
Als het aan diverse partijen in de gemeenteraad ligt wordt het gebruik van elektrische auto’s in Utrecht binnenkort voor een deel ook aan banden gelegd. Om netcongestie te voorkomen moeten alle laadpalen in de stad gedurende delen van de dag uitgeschakeld worden, zo is het idee. Wethouder Lot van Hooijdonk (GroenLinks) geeft aan dat het volledig afschakelen van alle gemeentelijke laadpalen tot de mogelijkheden behoort.

Iedereen is beperkt. En dat kan leuke conflicten opleveren. Collega Jeroen van @… schrijft:
"Beperkingen zijn geen uitzondering op de regel. Het is een uitzonderlijk diverse regel. Eentje die schijt heeft aan stereotypen en het idee van een vast omkaderde doelgroep."

Iedereen is beperkt - Gebruiker Centraal
Beperkingen zijn geen uitzondering op de regel. Het is een uitzonderlijk diverse regel die schijt heeft aan stereotypen en doelgroepen.

Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion
Xinghan Wang, Zixi Kang, Yadong Mu
https://arxiv.org/abs/2404.11375 https:…

Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion
Human motion understanding is a fundamental task with diverse practical applications, facilitated by the availability of large-scale motion capture datasets. Recent studies focus on text-motion tasks, such as text-based motion generation, editing and question answering. In this study, we introduce the novel task of text-based human motion grounding (THMG), aimed at precisely localizing temporal segments corresponding to given textual descriptions within untrimmed motion sequences. Capturing glo…

Open Position:
VP, Chief Information Security Officer (CISO)
Job Overview Summary
Reporting to the General Counsel, the inaugural Chief Information Security Officer is a visionary leader who is responsible for establishing the information security strategy and directing the implementation and monitoring of services, policies, standards, and solutions for Advarra. The CISO is both an experienced leader and a subject matter expert who will address cyber security from a strategic lens and provide guidance to leadership for managing risks to information security and cyber crisis management.
Description
At Advarra, we are passionate about making a difference in the world of clinical research and advancing human health. With a rich history rooted in ethical review services combined with innovative technology solutions and deep industry expertise, we are at the forefront of industry change. A market leader and pioneer, Advarra breaks the silos that impede clinical research, aligning patients, sites, sponsors, and CROs in a connected ecosystem to accelerate trials.
Company Culture
Our employees are the heart of Advarra. They are the key to our success and the driving force behind our mission and vision. Our values (Patient-Centric, Ethical, Quality Focused, Collaborative) guide our actions and decisions. Knowing the impact of our work on trial participants and patients, we act with urgency and purpose to advance clinical research so that people can live happier, healthier lives.
At Advarra, we seek to foster an inclusive and collaborative environment where everyone is treated with respect and diverse perspectives are embraced. Treating one another, our clients, and clinical trial participants with empathy and care are key tenets of our culture at Advarra; we are committed to creating a workplace where each employee is not only valued but empowered to thrive and make a meaningful impact.
Please note: I have no ability to answer questions about the position, or to refer anyone to the hiring managers involved.
Posting this here for anyone who feels this would be a good fit.
Link to Advarra listing:
https://recruiting.ultipro.com/ADV1023AVR/JobBoard/6051d363-03fe-4650-945e-f836306a8388/OpportunityDetail?opportunityId=3bd76d2a-3885-4449-8b7e-b8f1a14d624b

This https://arxiv.org/abs/2303.15629 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Nested Skills in Labor Ecosystems: A Hidden Dimension of Human Capital
Modern economies, characterized by their vast output of goods and services, operate through globally interconnected networks. As economies become more complex, so do these networks, coordinating increasingly diverse portfolios of specialized efforts and knowledge. In this study, we analyze U.S. survey data (2005--2019) to infer an underlying interdependency tree within the fabric of skill portfolios. Hierarchically constructed, this skill tree starts from widely needed, foundational abilities, …

This https://arxiv.org/abs/2404.09151 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development
Deploying machine learning (ML) on diverse computing platforms is crucial to accelerate and broaden their applications. However, it presents significant software engineering challenges due to the fast evolution of models, especially the recent \llmfull{s} (\llm{s}), and the emergence of new computing platforms. Current ML frameworks are primarily engineered for CPU and CUDA platforms, leaving a big gap in enabling emerging ones like Metal, Vulkan, and WebGPU. While a traditional bottom-up dev…

Why changing U.S. demographics aren’t affecting the political balance of power
Yes, the number of secular Americans grew, and those #secular voters began to identify more strongly with the #Democrats.
But at the same time, #religious

Why changing U.S. demographics aren't affecting the political balance of power
Even as the country has become more racially and ethnically diverse and religious attendance has declined, the relative size of the two big political-party coalitions has stayed almost identical.

HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation
Carmelo Sferrazza, Dun-Ming Huang, Xingyu Lin, Youngwoon Lee, Pieter Abbeel
https://arxiv.org/abs/2403.10506

HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation
Humanoid robots hold great promise in assisting humans in diverse environments and tasks, due to their flexibility and adaptability leveraging human-like morphology. However, research in humanoid robots is often bottlenecked by the costly and fragile hardware setups. To accelerate algorithmic research in humanoid robots, we present a high-dimensional, simulated robot learning benchmark, HumanoidBench, featuring a humanoid robot equipped with dexterous hands and a variety of challenging whole-bo…

Fundamentals of a Null Field Method-Surface Equivalence Principle Approach for Scattering by Dielectric Cylinders
Minas Kouroublakis, Nikolaos L. Tsitsas, George Fikioris
https://arxiv.org/abs/2404.10442

Fundamentals of a Null Field Method-Surface Equivalence Principle Approach for Scattering by Dielectric Cylinders
The null-field method (NFM) and the method of auxiliary sources (MAS) have been both used extensively for the numerical solution of boundary-value problems arising in diverse applications involving propagation and scattering of waves. It has been shown that, under certain conditions, the applicabil- ity of MAS may be restricted by issues concerning the divergence of the auxiliary currents, manifested by the appearance of exponentially large os- cillations. In this work, we combine the NFM with …

Study of Entropy-Driven Polymorphic Stability for Aspirin Using Accurate Neural Network Interatomic Potential
Shinnosuke Hattori, Qiang Zhu
https://arxiv.org/abs/2404.11587

Study of Entropy-Driven Polymorphic Stability for Aspirin Using Accurate Neural Network Interatomic Potential
In this study, we present a systematic computational investigation to analyze the long debated crystal stability of two well known aspirin polymorphs, labeled as Form I and Form II. Specifically, we developed a strategy to collect training configurations covering diverse interatomic interactions between representative functional groups in the aspirin crystals. Utilizing a state-of-the-art neural network interatomic potential (NNIP) model, we developed an accurate machine learning potential to s…

"#Restored coral reefs can grow as fast as healthy reefs after just four years, researchers find"
Kleiner Spoiler: Künstlich ausgesetzte #Korallen sterben auch genauso schnell, wie natürliche. Ist 2023 um

Restored coral reefs can grow as fast as healthy reefs after just four years, researchers find
The coral reefs of south Sulawesi are some of the most diverse, colorful and vibrant in the world. At least, they used to be, until they were decimated by dynamite fishing in the 1990s.

Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning
Xudong Yu, Chenjia Bai, Hongyi Guo, Changhong Wang, Zhen Wang
https://arxiv.org/abs/2404.06188

Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning
Offline Reinforcement Learning (RL) faces distributional shift and unreliable value estimation, especially for out-of-distribution (OOD) actions. To address this, existing uncertainty-based methods penalize the value function with uncertainty quantification and demand numerous ensemble networks, posing computational challenges and suboptimal outcomes. In this paper, we introduce a novel strategy employing diverse randomized value functions to estimate the posterior distribution of $Q$-values. I…

Wir sind heute in der #Schule, in der diverse Firmen #Ausbildungsplätze und duale #Studiengänge bewerben.
Ich wünschte, für mich.

‘Placing safety protocols on AI is “lobotomizing” it in the same way that putting emissions standards or seat belts in a car is stunting its capacity to be human’
https://web.archive.org/web/2024022710

The Deeper Problem With Google’s Racially Diverse Nazis
Generative AI is not built to honestly mirror reality, no matter what its creators say.

This https://arxiv.org/abs/2403.11666 has been replaced.
initial toot: https://mastoxiv.page/@a…

Skyrmion on Magnetic Tunnel Junction: Interweaving Quantum Transport with Micro-magnetism
Over the last two decades, non-trivial magnetic textures, especially the magnetic skyrmion family, have been extensively explored out of fundamental interest, and diverse possible applications. Given the possible technological and scientific ramifications of skyrmion-texture on magnetic tunnel junction (ST-MTJ), in this work, we present non-equilibrium Green's function (NEGF) based description of ST-MTJs both for Néel and Bloch textures, to capture the spin/charge current across different volt…

safe voyages to chiyo kamekawa, bassist for japanese underground legends yura yura teikoku, who passed away this week. yura yura, who broke up in 2010, were kinda like the japanese equivalent of (& friends with) yo la tengo. i'm still exploring their vast, diverse discography, working backwards from 2007's "hollow me." so glad i got to see them on their late career US tours.

元ゆらゆら帝国のベーシスト亀川千代が54歳で死去
亀川千代が2024年4月7日に死去した。亀川千代が亡くなったことは本日4月9日、ギタリストの田畑満によって発表された。亀川の家族のコメントによると、以前から病気の療養中だったという。54歳だった。悲しい...

How Germoney is celebrating Ramadan.
Respectful and very diverse 🙄

This https://arxiv.org/abs/2401.07348 has been replaced.
link: https://scholar.google.com/scholar?q=a

Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
The advent of Generative AI, particularly through Large Language Models (LLMs) like ChatGPT and its successors, marks a paradigm shift in the AI landscape. Advanced LLMs exhibit multimodality, handling diverse data formats, thereby broadening their application scope. However, the complexity and emergent autonomy of these models introduce challenges in predictability and legal compliance. This paper delves into the legal and regulatory implications of Generative AI and LLMs in the European Union…

A Constrained Deep Reinforcement Learning Optimization for Reliable Network Slicing in a Blockchain-Secured Low-Latency Wireless Network
Xin Hao, Phee Lep Yeoh, Changyang She, Yao Yu, Branka Vucetic, Yonghui Li
https://arxiv.org/abs/2403.09693

A Constrained Deep Reinforcement Learning Optimization for Reliable Network Slicing in a Blockchain-Secured Low-Latency Wireless Network
Network slicing (NS) is a promising technology that supports diverse requirements for next-generation low-latency wireless communication networks. However, the tampering attack is a rising issue of jeopardizing NS service-provisioning. To resist tampering attacks in NS networks, we propose a novel optimization framework for reliable NS resource allocation in a blockchain-secured low-latency wireless network, where trusted base stations (BSs) with high reputations are selected for blockchain man…

This https://arxiv.org/abs/2005.14056 has been replaced.
link: https://scholar.google.com/scholar?q=a

On $r$-to-$p$ norms of random matrices with nonnegative entries: Asymptotic normality and $\ell_\infty$-bounds for the maximizer
For an $n\times n$ matrix $A_n$, the $r\to p$ operator norm is defined as $$\|A_n\|_{r\to p}:= \sup_{\mathbf{x}\in\mathbb{R}^n:\|\mathbf{x} \|_r\leq 1 } \|A_n\mathbf{x} \|_p\quad\text{for}\quad r,p\geq 1.$$ For different choices of $r$ and $p$, this norm corresponds to key quantities that arise in diverse applications including matrix condition number estimation, clustering of data, and construction of oblivious routing schemes in transportation networks. This arti…

Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI
Tanzina Taher Ifty, Saleh Ahmed Shafin, Shoeb Mohammad Shahriar, Tashfia Towhid
https://arxiv.org/abs/2404.11428

Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI
Lung diseases remain a critical global health concern, and it's crucial to have accurate and quick ways to diagnose them. This work focuses on classifying different lung diseases into five groups: viral pneumonia, bacterial pneumonia, COVID, tuberculosis, and normal lungs. Employing advanced deep learning techniques, we explore a diverse range of models including CNN, hybrid models, ensembles, transformers, and Big Transfer. The research encompasses comprehensive methodologies such as hyperpara…

Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions
Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert
https://arxiv.org/abs/2405.02345

Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions
Access to large amounts of diverse design solutions can support designers during the early stage of the design process. In this paper, we explore the efficacy of large language models (LLM) in producing diverse design solutions, investigating the level of impact that parameter tuning and various prompt engineering techniques can have on the diversity of LLM-generated design solutions. Specifically, LLMs are used to generate a total of 4,000 design solutions across five distinct design topics, e…

Het is natuurlijk hun goed recht cq keuze, maar NSC en VVD hebben er dus geen enkel probleem mee samen aan een hoofdlijnen akkoord te werken met de PVV. Ondanks de standpunten van die partij op diverse gebieden en vertoonde gedrag.
#politiek #kabinet

Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning
Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, Zujie Wen, Wenqiang Lei, Tat-Seng Chua
https://arxiv.org/abs/2403.06769

Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning
We investigate non-collaborative dialogue agents that must engage in tailored strategic planning for diverse users to secure a favorable agreement. This poses challenges for existing dialogue agents due to two main reasons: their inability to integrate user-specific characteristics into their strategic planning and their training paradigm's failure to produce strategic planners that can generalize to diverse users. To address these challenges, we propose TRIP to enhance the capability in tailor…

This https://arxiv.org/abs/2309.13882 has been replaced.
link: https://scholar.google.com/scholar?q=a

FC-Planner: A Skeleton-guided Planning Framework for Fast Aerial Coverage of Complex 3D Scenes
3D coverage path planning for UAVs is a crucial problem in diverse practical applications. However, existing methods have shown unsatisfactory system simplicity, computation efficiency, and path quality in large and complex scenes. To address these challenges, we propose FC-Planner, a skeleton-guided planning framework that can achieve fast aerial coverage of complex 3D scenes without pre-processing. We decompose the scene into several simple subspaces by a skeleton-based space decomposition (S…

This https://arxiv.org/abs/2401.01408 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

Cost Minimization in Multi-cloud Systems with Runtime Microservice Re-orchestration
Multi-cloud systems facilitate a cost-efficient and geographically-distributed deployment of microservice-based applications by temporary leasing virtual nodes with diverse pricing models. To preserve the cost-efficiency of multi-cloud deployments, it is essential to redeploy microservices onto the available nodes according to a dynamic resource configuration, which is often performed to better accommodate workload variations. However, this approach leads to frequent service disruption since ap…

Bericht: ChatGPT wurde mit einer Million Stunden YouTube-Videos trainiert
Mittels einer automatisierten Transkription soll sich OpenAI seinen Vorsprung bei Sprachmodellen verschafft haben. Das könnte diverse Rechte verletzt haben.

Quantum Computing for All: Online Courses Built Around Interactive Visual Quantum Circuit Simulator
Juha Reinikainen, Vlad Stirbu, Teiko Heinosaari, Vesa Lappalainen, Tommi Mikkonen
https://arxiv.org/abs/2404.10328

Quantum Computing for All: Online Courses Built Around Interactive Visual Quantum Circuit Simulator
Quantum computing is a highly abstract scientific discipline, which, however, is expected to have great practical relevance in future information technology. This forces educators to seek new methods to teach quantum computing for students with diverse backgrounds and with no prior knowledge of quantum physics. We have developed an online course built around an interactive quantum circuit simulator designed to enable easy creation and maintenance of course material with ranging difficulty. The …

Pantypes: Diverse Representatives for Self-Explainable Models
Rune Kj{\ae}rsgaard, Ahc\`ene Boubekki, Line Clemmensen
https://arxiv.org/abs/2403.09383 http…

Pantypes: Diverse Representatives for Self-Explainable Models
Prototypical self-explainable classifiers have emerged to meet the growing demand for interpretable AI systems. These classifiers are designed to incorporate high transparency in their decisions by basing inference on similarity with learned prototypical objects. While these models are designed with diversity in mind, the learned prototypes often do not sufficiently represent all aspects of the input distribution, particularly those in low density regions. Such lack of sufficient data represent…

This https://arxiv.org/abs/2403.09527 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

WavCraft: Audio Editing and Generation with Natural Language Prompts
We introduce WavCraft, a collective system that leverages large language models (LLMs) to connect diverse task-specific models for audio content creation and editing. Specifically, WavCraft describes the content of raw sound materials in natural language and prompts the LLM conditioned on audio descriptions and users' requests. WavCraft leverages the in-context learning ability of the LLM to decomposes users' instructions into several tasks and tackle each task collaboratively with audio expert…

🎯 Induction of social contagion for diverse outcomes in structured experiments in isolated villages
#socialscience

This https://arxiv.org/abs/2303.15629 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Nested Skills in Labor Ecosystems: A Hidden Dimension of Human Capital
Modern economies, characterized by their vast output of goods and services, operate through globally interconnected networks. As economies become more complex, so do these networks, coordinating increasingly diverse portfolios of specialized efforts and knowledge. In this study, we analyze U.S. survey data (2005--2019) to infer an underlying interdependency tree within the fabric of skill portfolios. Hierarchically constructed, this skill tree starts from widely needed, foundational abilities, …

Fundamentals of a Null Field Method-Surface Equivalence Principle Approach for Scattering by Dielectric Cylinders
Minas Kouroublakis, Nikolaos L. Tsitsas, George Fikioris
https://arxiv.org/abs/2404.10442

Fundamentals of a Null Field Method-Surface Equivalence Principle Approach for Scattering by Dielectric Cylinders
The null-field method (NFM) and the method of auxiliary sources (MAS) have been both used extensively for the numerical solution of boundary-value problems arising in diverse applications involving propagation and scattering of waves. It has been shown that, under certain conditions, the applicabil- ity of MAS may be restricted by issues concerning the divergence of the auxiliary currents, manifested by the appearance of exponentially large os- cillations. In this work, we combine the NFM with …

Boosting Medical Image Segmentation Performance with Adaptive Convolution Layer
Seyed M. R. Modaresi, Aomar Osmani, Mohammadreza Razzazi, Abdelghani Chibani
https://arxiv.org/abs/2404.11361

Boosting Medical Image Segmentation Performance with Adaptive Convolution Layer
Medical image segmentation plays a vital role in various clinical applications, enabling accurate delineation and analysis of anatomical structures or pathological regions. Traditional CNNs have achieved remarkable success in this field. However, they often rely on fixed kernel sizes, which can limit their performance and adaptability in medical images where features exhibit diverse scales and configurations due to variability in equipment, target sizes, and expert interpretations. In this pa…

Quantum Computing for All: Online Courses Built Around Interactive Visual Quantum Circuit Simulator
Juha Reinikainen, Vlad Stirbu, Teiko Heinosaari, Vesa Lappalainen, Tommi Mikkonen
https://arxiv.org/abs/2404.10328

Quantum Computing for All: Online Courses Built Around Interactive Visual Quantum Circuit Simulator
Quantum computing is a highly abstract scientific discipline, which, however, is expected to have great practical relevance in future information technology. This forces educators to seek new methods to teach quantum computing for students with diverse backgrounds and with no prior knowledge of quantum physics. We have developed an online course built around an interactive quantum circuit simulator designed to enable easy creation and maintenance of course material with ranging difficulty. The …

Scaling Instructable Agents Across Many Simulated Worlds
SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzales, Karol Gregor, …

Scaling Instructable Agents Across Many Simulated Worlds
Building embodied AI systems that can follow arbitrary language instructions in any 3D environment is a key challenge for creating general AI. Accomplishing this goal requires learning to ground language in perception and embodied actions, in order to accomplish complex tasks. The Scalable, Instructable, Multiworld Agent (SIMA) project tackles this by training agents to follow free-form instructions across a diverse range of virtual 3D environments, including curated research environments as we…

‘Placing safety protocols on AI is “lobotomizing” it in the same way that putting emissions standards or seat belts in a car is stunting its capacity to be human’
https://web.archive.org/web/2024022710

The Deeper Problem With Google’s Racially Diverse Nazis
Generative AI is not built to honestly mirror reality, no matter what its creators say.

NetBench: A Large-Scale and Comprehensive Network Traffic Benchmark Dataset for Foundation Models
Chen Qian, Xiaochang Li, Qineng Wang, Gang Zhou, Huajie Shao
https://arxiv.org/abs/2403.10319

NetBench: A Large-Scale and Comprehensive Network Traffic Benchmark Dataset for Foundation Models
In computer networking, network traffic refers to the amount of data transmitted in the form of packets between internetworked computers or systems. Monitoring and analyzing network traffic is crucial for ensuring the performance, security, and reliability of a network. However, a significant challenge in network traffic analysis is to process diverse data packets including both ciphertext and plaintext. While many methods have been adopted to analyze network traffic, they often rely on differe…

Study of Emotion Concept Formation by Integrating Vision, Physiology, and Word Information using Multilayered Multimodal Latent Dirichlet Allocation
Kazuki Tsurumaki, Chie Hieida, Kazuki Miyazawa
https://arxiv.org/abs/2404.08295

Study of Emotion Concept Formation by Integrating Vision, Physiology, and Word Information using Multilayered Multimodal Latent Dirichlet Allocation
How are emotions formed? Through extensive debate and the promulgation of diverse theories , the theory of constructed emotion has become prevalent in recent research on emotions. According to this theory, an emotion concept refers to a category formed by interoceptive and exteroceptive information associated with a specific emotion. An emotion concept stores past experiences as knowledge and can predict unobserved information from acquired information. Therefore, in this study, we attempted to…

This https://arxiv.org/abs/2403.08113 has been replaced.
link: https://scholar.google.com/scholar?q=a

Assessing the Influence of Toxic and Gender Discriminatory Communication on Perceptible Diversity in OSS Projects
The presence of toxic and gender-identity derogatory language in open-source software (OSS) communities has recently become a focal point for researchers. Such comments not only lead to frustration and disengagement among developers but may also influence their leave from the OSS projects. Despite ample evidence suggesting that diverse teams enhance productivity, the existence of toxic or gender identity discriminatory communications poses a significant threat to the participation of individual…

This https://arxiv.org/abs/2009.10128 has been replaced.
link: https://scholar.google.com/scholar?q=a

Claraprint: a chord and melody based fingerprint for western classical music cover detection
Cover song detection has been an active field in the Music Information Retrieval (MIR) community during the past decades. Most of the research community focused in solving it for a wide range of music genres with diverse characteristics. Western classical music, a genre heavily based on the recording of "cover songs", or musical works, represents a large heritage, offering immediate application for an efficient fingerprint algorithm. We propose an engineering approach for retrieving a cover son…

Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions
Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert
https://arxiv.org/abs/2405.02345

Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions
Access to large amounts of diverse design solutions can support designers during the early stage of the design process. In this paper, we explore the efficacy of large language models (LLM) in producing diverse design solutions, investigating the level of impact that parameter tuning and various prompt engineering techniques can have on the diversity of LLM-generated design solutions. Specifically, LLMs are used to generate a total of 4,000 design solutions across five distinct design topics, e…

This https://arxiv.org/abs/2312.07146 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

CompdVision: Combining Near-Field 3D Visual and Tactile Sensing Using a Compact Compound-Eye Imaging System
As automation technologies advance, the need for compact and multi-modal sensors in robotic applications is growing. To address this demand, we introduce CompdVision, a novel sensor that employs a compound-eye imaging system to combine near-field 3D visual and tactile sensing within a compact form factor. CompdVision utilizes two types of vision units to address diverse sensing needs, eliminating the need for complex modality conversion. Stereo units with far-focus lenses can see through the tr…

Empowering Healthcare through Privacy-Preserving MRI Analysis
Al Amin, Kamrul Hasan, Saleh Zein-Sabatto, Deo Chimba, Liang Hong, Imtiaz Ahmed, Tariqul Islam
https://arxiv.org/abs/2403.09836

Empowering Healthcare through Privacy-Preserving MRI Analysis
In the healthcare domain, Magnetic Resonance Imaging (MRI) assumes a pivotal role, as it employs Artificial Intelligence (AI) and Machine Learning (ML) methodologies to extract invaluable insights from imaging data. Nonetheless, the imperative need for patient privacy poses significant challenges when collecting data from diverse healthcare sources. Consequently, the Deep Learning (DL) communities occasionally face difficulties detecting rare features. In this research endeavor, we introduce th…

New York: KI-Chatbot rät zum Rechtsbruch – und darf online bleiben
New Yorks "MyCity Chatbot" soll Unternehmen helfen, die Bürokratie zu meistern. Diverse generierte Antworten stimmen aber nicht. Trotzdem bleibt er online.

Machine learning enables cheaper and safer low-power magnetic resonance imaging (MRI) without sacrificing accuracy, according to a new study.
According to the authors, these advances pave the way for affordable, patient-centric, and deep learning-powered ultra-low-field (ULF) MRI scanners,
addressing unmet clinical needs in diverse healthcare settings worldwide.

Machine learning enables cheaper and safer low-power MRI
Machine learning enables cheaper and safer low-power magnetic resonance imaging (MRI) without sacrificing accuracy, according to a new study.

This https://arxiv.org/abs/2308.16429 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Solving Poisson Problems in Polygonal Domains with Singularity Enriched Physics Informed Neural Networks
Physics-Informed Neural Networks (PINNs) are a powerful class of numerical solvers for partial differential equations, employing deep neural networks with successful applications across a diverse set of problems. However, their effectiveness is somewhat diminished when addressing issues involving singularities, such as point sources or geometric irregularities, where the approximations they provide often suffer from reduced accuracy due to the limited regularity of the exact solution. In this w…

This https://arxiv.org/abs/2403.12075 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation
With the rise of text-to-image (T2I) generative AI models reaching wide audiences, it is critical to evaluate model robustness against non-obvious attacks to mitigate the generation of offensive images. By focusing on ``implicitly adversarial'' prompts (those that trigger T2I models to generate unsafe images for non-obvious reasons), we isolate a set of difficult safety issues that human creativity is well-suited to uncover. To this end, we built the Adversarial Nibbler Challenge, a red-teaming…

This https://arxiv.org/abs/2309.09498 has been replaced.
link: https://scholar.google.com/scholar?q=a

Combating Advanced Persistent Threats: Challenges and Solutions
The rise of advanced persistent threats (APTs) has marked a significant cybersecurity challenge, characterized by sophisticated orchestration, stealthy execution, extended persistence, and targeting valuable assets across diverse sectors. Provenance graph-based kernel-level auditing has emerged as a promising approach to enhance visibility and traceability within intricate network environments. However, it still faces challenges including reconstructing complex lateral attack chains, detecting …

This https://arxiv.org/abs/2206.04354 has been replaced.
link: https://scholar.google.com/scholar?q=a

Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing
This paper investigates a novel hybrid worker recruitment problem where the mobile crowd sensing and computing (MCSC) platform employs workers to serve MCSC tasks with diverse quality requirements and budget constraints, under uncertainties in workers' participation and their local workloads.We propose a hybrid worker recruitment framework consisting of offline and online trading modes. The former enables the platform to overbook long-term workers (services) to cope with dynamic service supply …

Study of Emotion Concept Formation by Integrating Vision, Physiology, and Word Information using Multilayered Multimodal Latent Dirichlet Allocation
Kazuki Tsurumaki, Chie Hieida, Kazuki Miyazawa
https://arxiv.org/abs/2404.08295

Study of Emotion Concept Formation by Integrating Vision, Physiology, and Word Information using Multilayered Multimodal Latent Dirichlet Allocation
How are emotions formed? Through extensive debate and the promulgation of diverse theories , the theory of constructed emotion has become prevalent in recent research on emotions. According to this theory, an emotion concept refers to a category formed by interoceptive and exteroceptive information associated with a specific emotion. An emotion concept stores past experiences as knowledge and can predict unobserved information from acquired information. Therefore, in this study, we attempted to…

This https://arxiv.org/abs/2404.07581 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
We primarily focus on the field of multi-scenario recommendation, which poses a significant challenge in effectively leveraging data from different scenarios to enhance predictions in scenarios with limited data. Current mainstream efforts mainly center around innovative model network architectures, with the aim of enabling the network to implicitly acquire knowledge from diverse scenarios. However, the uncertainty of implicit learning in networks arises from the absence of explicit modeling, l…

The Clarkston AR Gateways Project: Anchoring Refugee Presence and Narratives in a Small Town
Joshua A. Fisher, Fernando Rochaix
https://arxiv.org/abs/2404.08179

The Clarkston AR Gateways Project: Anchoring Refugee Presence and Narratives in a Small Town
This paper outlines the Clarkston AR Gateways Project, a speculative process and artifact entering its second phase, where Augmented Reality (AR) will be used to amplify the diverse narratives of Clarkston, Georgia's refugee community. Focused on anchoring their stories and presence into the town's physical and digital landscapes, the project employs a participatory co-design approach, engaging directly with community members. This placemaking effort aims to uplift refugees by teaching them AR …

Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development
Siyuan Feng, Jiawei Liu, Ruihang Lai, Charlie F. Ruan, Yong Yu, Lingming Zhang, Tianqi Chen
https://arxiv.org/abs/2404.09151

Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development
Deploying machine learning (ML) on diverse computing platforms is crucial to accelerate and broaden their applications. However, it presents significant software engineering challenges due to the fast evolution of models, especially the recent \llmfull{s} (\llm{s}), and the emergence of new computing platforms. Current ML frameworks are primarily engineered for CPU and CUDA platforms, leaving a big gap in enabling emerging ones like Metal, Vulkan, and WebGPU. While a traditional bottom-up dev…

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts
Zhuo Xu, Rui Zhou, Yida Yin, Huidong Gao, Masayoshi Tomizuka, Jiachen Li
https://arxiv.org/abs/2403.06041

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts
Data-driven methods have great advantages in modeling complicated human behavioral dynamics and dealing with many human-robot interaction applications. However, collecting massive and annotated real-world human datasets has been a laborious task, especially for highly interactive scenarios. On the other hand, algorithmic data generation methods are usually limited by their model capacities, making them unable to offer realistic and diverse data needed by various application users. In this work,…

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts
Zhuo Xu, Rui Zhou, Yida Yin, Huidong Gao, Masayoshi Tomizuka, Jiachen Li
https://arxiv.org/abs/2403.06041

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts
Data-driven methods have great advantages in modeling complicated human behavioral dynamics and dealing with many human-robot interaction applications. However, collecting massive and annotated real-world human datasets has been a laborious task, especially for highly interactive scenarios. On the other hand, algorithmic data generation methods are usually limited by their model capacities, making them unable to offer realistic and diverse data needed by various application users. In this work,…

SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents
Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique
https://arxiv.org/abs/2404.09331

SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents
Recent trends have shown that autonomous agents, such as Autonomous Ground Vehicles (AGVs), Unmanned Aerial Vehicles (UAVs), and mobile robots, effectively improve human productivity in solving diverse tasks. However, since these agents are typically powered by portable batteries, they require extremely low power/energy consumption to operate in a long lifespan. To solve this challenge, neuromorphic computing has emerged as a promising solution, where bio-inspired Spiking Neural Networks (SNNs)…

Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households
Zhihao Cao, Zidong Wang, Siwen Xie, Anji Liu, Lifeng Fan
https://arxiv.org/abs/2404.09001

Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households
Despite the significant demand for assistive technology among vulnerable groups (e.g., the elderly, children, and the disabled) in daily tasks, research into advanced AI-driven assistive solutions that genuinely accommodate their diverse needs remains sparse. Traditional human-machine interaction tasks often require machines to simply help without nuanced consideration of human abilities and feelings, such as their opportunity for practice and learning, sense of self-improvement, and self-estee…

EgoPet: Egomotion and Interaction Data from an Animal's Perspective
Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell
https://arxiv.org/abs/2404.09991

EgoPet: Egomotion and Interaction Data from an Animal's Perspective
Animals perceive the world to plan their actions and interact with other agents to accomplish complex tasks, demonstrating capabilities that are still unmatched by AI systems. To advance our understanding and reduce the gap between the capabilities of animals and AI systems, we introduce a dataset of pet egomotion imagery with diverse examples of simultaneous egomotion and multi-agent interaction. Current video datasets separately contain egomotion and interaction examples, but rarely both at t…

DIDLM:A Comprehensive Multi-Sensor Dataset with Infrared Cameras, Depth Cameras, LiDAR, and 4D Millimeter-Wave Radar in Challenging Scenarios for 3D Mapping
WeiSheng Gong, Chen He, KaiJie Su, QingYong Li
https://arxiv.org/abs/2404.09622

DIDLM:A Comprehensive Multi-Sensor Dataset with Infrared Cameras, Depth Cameras, LiDAR, and 4D Millimeter-Wave Radar in Challenging Scenarios for 3D Mapping
This study presents a comprehensive multi-sensor dataset designed for 3D mapping in challenging indoor and outdoor environments. The dataset comprises data from infrared cameras, depth cameras, LiDAR, and 4D millimeter-wave radar, facilitating exploration of advanced perception and mapping techniques. Integration of diverse sensor data enhances perceptual capabilities in extreme conditions such as rain, snow, and uneven road surfaces. The dataset also includes interactive robot data at differen…

This https://arxiv.org/abs/2403.02604 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

UniDoorManip: Learning Universal Door Manipulation Policy Over Large-scale and Diverse Door Manipulation Environments
Learning a universal manipulation policy encompassing doors with diverse categories, geometries and mechanisms, is crucial for future embodied agents to effectively work in complex and broad real-world scenarios. Due to the limited datasets and unrealistic simulation environments, previous works fail to achieve good performance across various doors. In this work, we build a novel door manipulation environment reflecting different realistic door manipulation mechanisms, and further equip this en…

This https://arxiv.org/abs/2306.14714 has been replaced.
link: https://scholar.google.com/scholar?q=a

Deep Predictive Learning: Motion Learning Concept inspired by Cognitive Robotics
Bridging the gap between motion models and reality is crucial by using limited data to deploy robots in the real world. Deep learning is expected to be generalized to diverse situations while reducing feature design costs through end-to-end learning for environmental recognition and motion generation. However, data collection for model training is costly, and time and human resources are essential for robot trial-and-error with physical contact. We propose "Deep Predictive Learning," a motion l…