Tootfinder

Madrid-based big data observability startup Onum, which launched in 2023, raised a $28M Series A led by Dawn Capital, with participation from Insight and Kibo (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2024/04/10/on

Onum raises $28M to help organizations extract their most valuable data in real time - SiliconANGLE
Onum raises $28M to help organizations extract their most valuable data in real time - SiliconANGLE

At Seattle’s Boeing Field, Real-Time Video Offers a Rare Glimpse of America’s Troubled Deportation Flights | Portside
https://portside.org/2024-03-10/seattles-boeing-field-real-time-video-offers-rare-glimpse-a…

At Seattle’s Boeing Field, Real-Time Video Offers a Rare Glimpse of America’s Troubled Deportation Flights
ProPublica is a Pulitzer Prize-winning investigative newsroom. Sign up for The Big Story newsletter to receive stories like this one in your inbox.

Bz latitude went as far down as -46 @ 1735-1740z 😱😱😱 and I've never seen it fall below -20 😱 #CME #Aurora
Not to mention there's been NO observations since 1952z, the whole 9 minutes as I type this.

Did you know? The original IBM PC is so old it predates time, that’s why it didn’t have a real-time clock..

Using Copilot or whatever to write code is either:
a) non-deterministic, so entering the same prompt has different results every time and you need to check every time and you waste time every time, or
b) deterministic, so "prompts" are just a stupid, error-prone higher-level programming language.
I have trouble seeing any real advantage for medium-to-good programmers, but I'm sure not-so-good ones will be caught in the crossfire.

Combination of Site-Wide and Real-Time Optimization for the Control of Systems of Flexible Energy Resources
Vincent Henkel, Lukas Peter Wagner, Felix Gehlhoff, Alexander Fay
https://arxiv.org/abs/2404.06748

Combination of Site-Wide and Real-Time Optimization for the Control of Systems of Flexible Energy Resources
The rapid expansion of renewable energy sources introduces significant volatility and unpredictability to the energy supply chain, challenging the stability and reliability of the power grid. This work presents a method that enhances existing static optimization models by converting them into dynamic models suitable for the real-time optimization of flexible energy resources. By adapting static models for real-time application, the proposed two-stage optimization strategy allows for flexible ad…

After 11 months of being here, I decided to do a very small reflection.
When I first arrived, I didn't have any expectations or goals I'd like to achieve. Matter of fact, the main reason I left Twitter is because of all the bots that followed me and how I almost never got any real interaction.
Over time, things got a little rocky here and it seemed as though, personally, I wasn't going to be enjoying it any further at that time and contemplating shutting the instance down completely and just "disappearing".
However, several months on from that, I'm VERY glad I didn't. I like it here and I like having my "own little space" where nobody can tell me what I can and cannot discuss nor what I can and cannot see.
Something I've just recently realized though, is how important a good bit of you have become to me, personally and my Fedi experience would be very lacking without some of you here. What I didn't expect, was getting that same sentiment back when I discussed it with those few of you. I really appreciate knowing that for some of you, I have been consistently a "good" addition to your timelines and everyday online life.
Those types of comments and feelings they give me, keep me here and sane on those wilder days. To each and every one of you that have followed me for so long, through all the craziness, slight drama, wild opinions, and more, THANK YOU.
If I hadn't been almost universally accepted with such open arms and returned the same energy I try to put out, then I doubt I would still be here to this day.
I'm 11 months in and I think I'm ready to "give back" to those few folks that I consider friends and am on the cusps of creating something new and hopefully something good for Fedi as a whole.
I'm going to keep it very limited for specific reasons I'll lay out later. But, this is new ground for me and I have to figure some things out and hopefully not make too many missteps and learn some things along the way.
Thank you Fedi. I wouldn't be who I am right now, without you.

This https://arxiv.org/abs/2404.19706 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting
We propose RTG-SLAM, a real-time 3D reconstruction system with an RGBD camera for large-scale environments using Gaussian splatting. RTG-SLAM features a compact Gaussian representation and a highly efficient on-the-fly Gaussian optimization scheme. We force each Gaussian to be either opaque or nearly transparent, with the opaque ones fitting the surface and dominant colors, and transparent ones fitting residual colors. By rendering depth in a different way from color rendering, we let a single …

Hey citizen scientists if you've spotted the #Aurora, report it to aurorasaurus.org! It's crowdsourcing aurora location and intensity data.
https://aurorasaurus.org

Aurorasaurus - Reporting Auroras from the Ground Up
Friends, see my real-time #aurora report on the aurorasaurus.org map! Follow us on www.facebook.com/aurorasaurus.org. Reporting #northernlights and #citizenscience from the ground up since 2012!

PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances
Keyvan Amiri Elyasi, Han van der Aa, Heiner Stuckenschmidt
https://arxiv.org/abs/2404.06267

PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances
We present PGTNet, an approach that transforms event logs into graph datasets and leverages graph-oriented data for training Process Graph Transformer Networks to predict the remaining time of business process instances. PGTNet consistently outperforms state-of-the-art deep learning approaches across a diverse range of 20 publicly available real-world event logs. Notably, our approach is most promising for highly complex processes, where existing deep learning approaches encounter difficulties …

Did you know? The original IBM PC is so old it predates time, that’s why it didn’t have a real-time clock..

Right that was the warm-up. Now it's time for the real event. Early-mid-80s, here we come!
#TOTP

This https://arxiv.org/abs/2308.01654 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Towards a Safe Real-Time Motion Planning Framework for Autonomous Driving Systems: An MPPI Approach
Planning safe trajectories in Autonomous Driving Systems (ADS) is a complex problem to solve in real-time. The main challenge to solve this problem arises from the various conditions and constraints imposed by road geometry, semantics and traffic rules, as well as the presence of dynamic agents. Recently, Model Predictive Path Integral (MPPI) has shown to be an effective framework for optimal motion planning and control in robot navigation in unstructured and highly uncertain environments. In t…

You all have those few nagging, unread emails that you scroll by real fast each time you look at your inbox right? Those that you should’ve read and responded to days ago??

Ever seen a #FloodCurrent in action? Here is the water returning to the shore during a #tides-themed tour of the #WaddenSea off Harlesiel in Germany, filmed in real time: https://www.youtube.com/watch?v=UTaFfww0Mr8 - this is a quite remarkable experience actually.

AI in Your Toolbox: A Plugin for Generating Renderings from 3D Models
Mingming Wang
https://arxiv.org/abs/2405.05627 https://arxiv.or…

AI in Your Toolbox: A Plugin for Generating Renderings from 3D Models
With the rapid development of LLMs and AIGC technology, we present a Rhino platform plugin utilizing stable diffusion technology. This plugin enables real-time application deployment from 3D modeling software, integrating stable diffusion models with Rhino's features. It offers intelligent design functions, real-time feedback, and cross-platform linkage, enhancing design efficiency and quality. Our ongoing efforts focus on optimizing the plugin to further advance AI applications in CAD, empower…

#Wordle 996 5/6*
⬜⬜⬜⬜⬜ <1% of 252,636 (605)
🟨⬜🟨⬜⬜ 1% of 70 (12)
⬜⬜⬜🟨🟨 1 of 1 (1)
⬜🟩⬜⬜🟨 <1% of 9,785 (1)
🟩🟩🟩🟩🟩 73% of 2,138
WordleBot
Skill 74/99
Luck 41/99
My 4th guess was just to get more clues, it didn't even feel like a real word, but I was happy it was accepted.
And then the answer didn't look like a real word by the time I got to it.

CONTEXT: Details of why Apple might actually mail you a warning are at https://support.apple.com/en-us/102174
messages come from threat-notifications@apple.com to the email address associated with your AppleID.
AccessNow.org apparently offers a security helpline for “civil society…

"In France, we’ve been desperate for a real alternative to Macron and Le Pen. Finally, he’s here"
https://www.theguardian.com/commentisfree/article/2024/may/10/france-emmanuel-macron-marine-le-pen-raph…

This https://arxiv.org/abs/2310.19812 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Brain decoding: toward real-time reconstruction of visual perception
In the past five years, the use of generative and foundational AI systems has greatly improved the decoding of brain activity. Visual perception, in particular, can now be decoded from functional Magnetic Resonance Imaging (fMRI) with remarkable fidelity. This neuroimaging technique, however, suffers from a limited temporal resolution ($\approx$0.5 Hz) and thus fundamentally constrains its real-time usage. Here, we propose an alternative approach based on magnetoencephalography (MEG), a neuroim…

This https://arxiv.org/abs/2305.15939 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Weakly turbulent solution to Schrödinger equation on the two-dimensional torus with real potential decaying at infinity
We build a smooth time-dependent real potential on the two-dimensional torus, decaying as time tends to infinity in Sobolev norms along with all its time derivative, and we exhibit a smooth solution to the associated Schrödinger equation on the two-dimensional torus whose $H^s$ norms nevertheless grow logarithmically as time tends to infinity. We use Fourier decomposition in order to exhibit a discrete resonant system of interactions, which we are further able to reduce to a sequence of finite…

This https://arxiv.org/abs/2403.19171 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Mining Bug Repositories for Multi-Fault Programs
Datasets such as Defects4J and BugsInPy that contain bugs from real-world software projects are necessary for a realistic evaluation of automated debugging tools. However these datasets largely identify only a single bug in each entry, while real-world software projects (including those used in Defects4J and BugsInPy) typically contain multiple bugs at the same time. We lift this limitation and describe an extension to these datasets in which multiple bugs are identified in individual entries. …

Elon Musk says xAI plans to open-source Grok this week; xAI released Grok in November 2023, offering access to "real-time" data via a $16/month X subscription (Manish Singh/TechCrunch)
https://techcrunch.com/2024/03/11/elon-musk-says…

Elon Musk to open-source AI chatbot Grok this week | TechCrunch
Elon Musk's AI startup xAI will open-source Grok, its chatbot rivaling ChatGPT, this week, the entrepreneur said, days after suing OpenAI and complaining Elon Musk's AI startup xAI will open-source Grok, its chatbot rivaling ChatGPT, this week, he said.

Carbon Filter: Real-time Alert Triage Using Large Scale Clustering and Fast Search
Jonathan Oliver, Raghav Batta, Adam Bates, Muhammad Adil Inam, Shelly Mehta, Shugao Xia
https://arxiv.org/abs/2405.04691

Carbon Filter: Real-time Alert Triage Using Large Scale Clustering and Fast Search
"Alert fatigue" is one of the biggest challenges faced by the Security Operations Center (SOC) today, with analysts spending more than half of their time reviewing false alerts. Endpoint detection products raise alerts by pattern matching on event telemetry against behavioral rules that describe potentially malicious behavior, but can suffer from high false positives that distract from actual attacks. While alert triage techniques based on data provenance may show promise, these techniques can …

Analysis of Distributed Optimization Algorithms on a Real Processing-In-Memory System
Steve Rhyner, Haocong Luo, Juan G\'omez-Luna, Mohammad Sadrosadati, Jiawei Jiang, Ataberk Olgun, Harshita Gupta, Ce Zhang, Onur Mutlu
https://arxiv.org/abs/2404.07164

Analysis of Distributed Optimization Algorithms on a Real Processing-In-Memory System
Machine Learning (ML) training on large-scale datasets is a very expensive and time-consuming workload. Processor-centric architectures (e.g., CPU, GPU) commonly used for modern ML training workloads are limited by the data movement bottleneck, i.e., due to repeatedly accessing the training dataset. As a result, processor-centric systems suffer from performance degradation and high energy consumption. Processing-In-Memory (PIM) is a promising solution to alleviate the data movement bottleneck b…

Der Elefant im Raum um die Zulässigkeit von "Pay or Okay"-Modellen ist doch, dass die werbefinanzierten Angebote niemals DSGVO-konform sind und sein werden.
Die Daten müssen in "nachvollziehbarer Weise" verarbeitet werden, für "festgelegte, eindeutige Zwecke".
Mit 800-1400 Partnern ist Transparenz, Informiertheit und Eindeutigkeit doch illusorisch.
Da lasse man sich doch mal von einem Verlag erklären, was Real Time Bidding oder Drittanbieter…

Dynamic Quality-Diversity Search
Roberto Gallotta, Antonios Liapis, Georgios N. Yannakakis
https://arxiv.org/abs/2404.05769 https://a…

Dynamic Quality-Diversity Search
Evolutionary search via the quality-diversity (QD) paradigm can discover highly performing solutions in different behavioural niches, showing considerable potential in complex real-world scenarios such as evolutionary robotics. Yet most QD methods only tackle static tasks that are fixed over time, which is rarely the case in the real world. Unlike noisy environments, where the fitness of an individual changes slightly at every evaluation, dynamic environments simulate tasks where external facto…

After four years of fighting about it,
the World Health Organization has finally proclaimed that viruses, including the SARS-CoV-2 virus that causes COVID,
can be spread through the air.
The operative phrase here is
⭐️“through the air.” ⭐️
It’s plain language that anyone can understand,
and this switch from jargon such as “airborne” and “aerosol”may finally clear the way for researchers to get funding to study better, real-life ways to protect people from a…

A Fight About Viruses in the Air Is Finally Over. Now It’s Time for Healthy Venting
WHO now admits the COVID virus and other germs spread “through the air.” This plain language may help improve research and action to fight disease

Goodbye Japan; it's been real.
Hopefully we'll be back here sooner rather than later, maybe to explore stuff north of Tokyo that we didn't touch this time.

SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting
Zhijing Shao, Zhaolong Wang, Zhuang Li, Duotun Wang, Xiangru Lin, Yu Zhang, Mingming Fan, Zeyu Wang
https://arxiv.org/abs/2403.05087

SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting
We present SplattingAvatar, a hybrid 3D representation of photorealistic human avatars with Gaussian Splatting embedded on a triangle mesh, which renders over 300 FPS on a modern GPU and 30 FPS on a mobile device. We disentangle the motion and appearance of a virtual human with explicit mesh geometry and implicit appearance modeling with Gaussian Splatting. The Gaussians are defined by barycentric coordinates and displacement on a triangle mesh as Phong surfaces. We extend lifted optimization t…

"Slop is the new name for unwanted AI-generated content"
https://simonwillison.net/2024/May/8/slop/

Right now, @… is sharing an excellent and incredibly thought-provoking talk about the philosophy of treating styles as hints to the browser. It's so good, y'all.
https://conf.11ty.dev<…

Light mode versus Dark mode

It doesn’t have to be this way. Some people have very real physical reasons to need one mode over another. The rest of us are also allowed to have our favourites, or might prefer light mode in some situations and dark in others.

What if Sara said it was super easy to code up both dark and light modes at the same time? Despite Sara’s evangelising efforts, not enough people know of the CSS property color-scheme and how powerful it is.

This https://arxiv.org/abs/2309.09295 has been replaced.
link: https://scholar.google.com/scholar?q=a

NeRF-VINS: A Real-time Neural Radiance Field Map-based Visual-Inertial Navigation System
Achieving efficient and consistent localization a prior map remains challenging in robotics. Conventional keyframe-based approaches often suffers from sub-optimal viewpoints due to limited field of view (FOV) and/or constrained motion, thus degrading the localization performance. To address this issue, we design a real-time tightly-coupled Neural Radiance Fields (NeRF)-aided visual-inertial navigation system (VINS). In particular, by effectively leveraging the NeRF's potential to synthesize nov…

Jessica Wildfire klinkt altijd als een overdrijvende antikapitalistische onheilsprofeet. Ze heeft het wel vaak uiteindelijk bij het rechte eind.
We're Watching The Elite Panic in Real Time https://www.okdoomer.io/were-watching-the-elite-panic-in-real-time/…

We're Watching The Elite Panic in Real Time
The avian flu situation is evolving daily now. Farmers and ranchers are starting to show "bird flu-like symptoms," but they aren't getting tested. Nobody is forcing them, either. The USDA is inspecting ground beef, but only in states with outbreaks in dairy cows, and only because other countries started rejecting

@… Cory, have you heard about this alternative search engine? https://www.404media.co/this-guy-is-building-an-open…

This Guy Has Built an Open Source Search Engine as an Alternative to Google in His Spare Time
"I found it very weird that there essentially is no way to browse the web in an open manner. So that's what I am trying to build," the founder of Stract said.

Towards Efficient and Real-Time Piano Transcription Using Neural Autoregressive Models
Taegyun Kwon, Dasaem Jeong, Juhan Nam
https://arxiv.org/abs/2404.06818

Towards Efficient and Real-Time Piano Transcription Using Neural Autoregressive Models
In recent years, advancements in neural network designs and the availability of large-scale labeled datasets have led to significant improvements in the accuracy of piano transcription models. However, most previous work focused on high-performance offline transcription, neglecting deliberate consideration of model size. The goal of this work is to implement real-time inference for piano transcription while ensuring both high performance and lightweight. To this end, we propose novel architectu…

A Comprehensive Benchmarking Analysis of Fault Recovery in Stream Processing Frameworks
Adriano Vogel, S\"oren Henning, Esteban Perez-Wohlfeil, Otmar Ertl, Rick Rabiser
https://arxiv.org/abs/2404.06203

A Comprehensive Benchmarking Analysis of Fault Recovery in Stream Processing Frameworks
Nowadays, several software systems rely on stream processing architectures to deliver scalable performance and handle large volumes of data in near real time. Stream processing frameworks facilitate scalable computing by distributing the application's execution across multiple machines. Despite performance being extensively studied, the measurement of fault tolerance-a key and most appealing feature offered by stream processing frameworks-has still not been measured properly with updated and co…

AI in Your Toolbox: A Plugin for Generating Renderings from 3D Models
Mingming Wang
https://arxiv.org/abs/2405.05627 https://arxiv.or…

AI in Your Toolbox: A Plugin for Generating Renderings from 3D Models
With the rapid development of LLMs and AIGC technology, we present a Rhino platform plugin utilizing stable diffusion technology. This plugin enables real-time application deployment from 3D modeling software, integrating stable diffusion models with Rhino's features. It offers intelligent design functions, real-time feedback, and cross-platform linkage, enhancing design efficiency and quality. Our ongoing efforts focus on optimizing the plugin to further advance AI applications in CAD, empower…

At this year's Berlin Buzzwords, join Desmond Obisi as he explores serverless Kafka and real-time data streaming with Node.js microservices, delving into Upstash's serverless Kafka architecture and how it can be used to build scalable and cost-effective solutions for microservices. #bbuzz

This https://arxiv.org/abs/2302.09743 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Adaptive control of dynamic networks
Real-world network systems are inherently dynamic, with network topologies undergoing continuous changes over time. External control signals can be applied to a designated set of nodes within a network, known as the Minimum Driver Set (MDS), to steer the network from any state to a desired one. However, the efficacy of the incumbent MDS may diminish as the network topologies evolve. Previous research has often overlooked this challenge, assuming foreknowledge of future changes in network topolo…

Hopf bifurcation of a non-parallel Navier-Stokes flow
Zhi-Min Chen
https://arxiv.org/abs/2404.07065 https://arxiv.org/pdf/2404.07065<…

Hopf bifurcation of a non-parallel Navier-Stokes flow
A plane non-parallel flow in a square fluid domain exhibits an odd number of vortices. A spectral structure is found to have a non-real solution of the spectral problem linearized around the flow. With the use of this structure, Hopf bifurcation or secondary time periodic flows branching of a basic square eddy flow is found. In contrast to a square eddy flow involving an even number of vortices in earlier analytical and experimental investigations, instability of the flow leads to steady-state …

Real Time Charged Track Reconstruction for CLAS12
Gagik Gavalian
https://arxiv.org/abs/2403.04020 https://arxiv.org/pdf/2403.04020

Real Time Charged Track Reconstruction for CLAS12
This paper presents the results of charged particle track reconstruction in CLAS12 using artificial intelligence. In our approach, we use machine learning algorithms to reconstruct tracks, including their momentum and direction, with high accuracy from raw hits of the CLAS12 drift chambers. The reconstruction is performed in real-time, with the rate of data acquisition, and allows for the identification of event topologies in real-time. This approach revolutionizes the Nuclear Physics experimen…

Inside the ‘Com World War’: Robberies, Brickings, and ‘Drama’ https://www.404media.co/inside-the-com-world-war-robberies-brickings-and-drama/

Creative and geometric times in physics, mathematics, logic, and philosophy
Flavio Del Santo, Nicolas Gisin
https://arxiv.org/abs/2404.06566 https://

Creative and geometric times in physics, mathematics, logic, and philosophy
We propose a distinction between two different concepts of time that play a role in physics: geometric time and creative time. The former is the time of deterministic physics and merely parametrizes a given evolution. The latter is instead characterized by real change, i.e. novel information that gets created when a non-necessary event becomes determined in a fundamentally indeterministic physics. This allows us to give a naturalistic characterization of the present as the moment that separates…

If you really want kids to spend less time online, make space for them in the real world | Gaby Hinsliff | The Guardian
https://www.theguardian.com/commentisfree/2024/apr/02/kids-time-online-tech-firms-government-play

So the #EU Digital Markets Act #DMA went into effect yesterday, March 7.
It has that "continuous and real-time access" provision but I cannot find any info by any of the large providers how they are meeting this obligation.
Anybody have any pointers? Or what am I missing?

‘“Cinema will disappear,” Godard predicted, “when it is no longer projected” – when the beam of light has gone. Entering the cinema, entering the darkness to find the light, allows us to exit from ourselves, to live for a while in another space and another time, one which casts a prophetic light on the real society and history existing outside.’

Peter Wollen · When the beam of light has gone: Godard Turns Over

Real Losers – Time To Lose [2003, full album]
#FediRadio

Speeding up all-electron real-time TDDFT demonstrated by the exciting package
Ronaldo Rodrigues Pela, Claudia Draxl
https://arxiv.org/abs/2403.04351 https:…

Speeding up all-electron real-time TDDFT demonstrated by the exciting package
Currently, many ab initio codes are being prepared for exascale computing. A first and important step is to significantly improve the efficiency of existing implementations by devising better algorithms that can accomplish the same tasks with enhanced scalability. This manuscript addresses this challenge for real-time time-dependent density functional theory in the full-potential all-electron code exciting, with a focus on systems with reduced dimensionality. Following the strategy described he…

#RethinkDNS ma domenę "assets.gentoo.org" (na której trzymamy CSS i obrazki dla witryn #Gentoo) na listach blokowania. Tyle, że jak je otwieram, to nie mogę znaleźć niczego, co by pasowało. CDF?
I dlaczego tak trudno znaleźć właściwy adres, by to zgłosić?! Czy na wsparcie zasługują wyłącznie…

Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection
Payam Abdisarabshali, Kwang Taik Kim, Michael Langberg, Weifeng Su, Seyyedali Hosseinalipour
https://arxiv.org/abs/2404.06324

Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection
Existing studies on federated learning (FL) are mostly focused on system orchestration for static snapshots of the network and making static control decisions (e.g., spectrum allocation). However, real-world wireless networks are susceptible to temporal variations of wireless channel capacity and users' datasets. In this paper, we incorporate multi-granular system dynamics (MSDs) into FL, including (M1) dynamic wireless channel capacity, captured by a set of discrete-time events, called $\maths…

Combining a ground-based UV network with satellite maps: A case study for Germany
Barbara Klotz (Institute of Biomedical Physics, Medical University Innsbruck, Innsbruck, Austria), Verena Schenzinger (Institute of Biomedical Physics, Medical University Innsbruck, Innsbruck, Austria), Michael Schwarzmann (Institute of Biomedical Physics, Medical University Innsbruck, Innsbruck, Austria), Axel Kreuter (Institute of Biomedical Physics, Medical University Innsbruck, Innsbruck, Austria, Luf…

Combining a ground-based UV network with satellite maps: A case study for Germany
A study for the comprehensive information of current UV exposure for the area of Germany, based on the method for near real time calculation of UV Index maps used in the framework of the Austrian UV Monitoring Network, is presented. For the area of Germany about 22.000 surface UV Index maps were calculated for the year 2022 via the radiative transfer model libRadtran by incorporating daily forecast data for ozone, albedo and aerosols from the Copernicus Atmospheric Monitoring Service and taking…

Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis
Fatma Zahra Abdeldjouad, Menaouer Brahami, Mohammed Sabri
https://arxiv.org/abs/2404.05762

Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis
Adverse drug reactions considerably impact patient outcomes and healthcare costs in cancer therapy. Using artificial intelligence to predict adverse drug reactions in real time could revolutionize oncology treatment. This study aims to assess the performance of artificial intelligence models in predicting adverse drug reactions in patients with cancer. This is the first systematic review and meta-analysis. Scopus, PubMed, IEEE Xplore, and ACM Digital Library databases were searched for studies …

This https://arxiv.org/abs/2405.02947 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Longitudinal Momentum Spectra of pair created in a pulsed field at finite times: Are Oscillations "Real"
We investigate the production of electron-positron pairs from the vacuum in a time-varying, spatially uniform pulsed electric field given by $E(t) = E_0 sech^2(t/τ)$, with height of $E_0$ and width of $τ$. Sah recently discussed the problem of pair production after a finite evolution time [9]. This raises questions about the instantaneous appearance of particles in pair production and their behavior at intermediate times when using a formalism that involves solving an evolution equation for a…

Be a real shame if Putin started hemorrhaging blood from his wherever, next time he was in public. Don’t we have an agency to do that kinda shit?

This https://arxiv.org/abs/2403.19838 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving
Vision-Language Models (VLMs) and Multi-Modal Language models (MMLMs) have become prominent in autonomous driving research, as these models can provide interpretable textual reasoning and responses for end-to-end autonomous driving safety tasks using traffic scene images and other data modalities. However, current approaches to these systems use expensive large language model (LLM) backbones and image encoders, making such systems unsuitable for real-time autonomous driving systems where tight …

A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-Labeling
Yutian Ren, Yuqi He, Xuyin Zhang, Aaron Yen, G. P. Li
https://arxiv.org/abs/2404.05976

A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-Labeling
Machine Learning (ML) has been demonstrated to improve productivity in many manufacturing applications. To host these ML applications, several software and Industrial Internet of Things (IIoT) systems have been proposed for manufacturing applications to deploy ML applications and provide real-time intelligence. Recently, an interactive causality enabled self-labeling method has been proposed to advance adaptive ML applications in cyber-physical systems, especially manufacturing, by automaticall…

Lavender Evening Fog 🎠🫖🪻
Dramatized cozy haunted house mystery series | Total listening time: 10h 15m
Dr. Anna-Georgina Plume (Assistant Professor of Architectural History at Hollingsworth University) may be in over her head. Her specialization in educational architecture may not be helpful when her new home (also her o...
ht…

Lavender Evening Fog 🎠🫖🪻
Dramatized cozy haunted house mystery series | Total listening time: 10h 15m Dr. Anna-Georgina Plume (Assistant Professor of Architectural History at Hollingsworth University) may be in over her head. Her specialization in educational architecture may not be helpful when her new home (also her old elementary school) may be haunted. LGBT and woman showrunner, each episode has a tea pairing suggestion, the school that is central to the story is based on the real school the showrunner attende…

Die Welt ist voller Mysterien. Was war vor dem Urknall? Gibt es unendlich viele Primzahlzwillinge? Und gibt es einen wie auch immer nachvollziehbaren Zusammenhang zwischen der Anzeige der gespeicherten Datenmenge, der prozentualen Fortschrittsanzeige und dem real benötigten Zeitbedarf für ein Apple Time-Machine-Backup?

Building Something Real in your spare time
https://www.blobstreaming.org/building-something-real-in-your-spare-time/

The effect of the environment-dependent stellar initial mass function on the photometric properties of star-forming galaxies
Moritz Haslbauer, Zhiqiang Yan, Tereza Jerabkova, Eda Gjergo, Pavel Kroupa, Akram Hasani Zonoozi
https://arxiv.org/abs/2405.05313

The effect of the environment-dependent stellar initial mass function on the photometric properties of star-forming galaxies
(Abridged) Observational estimates of galaxy properties rely on the inherent galaxy-wide initial mass function (gwIMF), which systematically varies with the global SFR and metallicity, as proposed by the integrated-galactic IMF (IGIMF) theory and supported by empirical evidence. We incorporate PARSEC and COLIBRI stellar isochrones into the GalIMF code, a galaxy chemical evolution (GCE) model featuring real-time updates of environment-dependent gwIMFs. This newly developed photometric GalIMF (ph…

This https://arxiv.org/abs/2403.01353 has been replaced.
link: https://scholar.google.com/scholar?q=a

Spatially parallel decoding for multi-qubit lattice surgery
Running quantum algorithms protected by quantum error correction requires a real time, classical decoder. To prevent the accumulation of a backlog, this decoder must process syndromes from the quantum device at a faster rate than they are generated. Most prior work on real time decoding has focused on an isolated logical qubit encoded in the surface code. However, for surface code, quantum programs of utility will require multi-qubit interactions performed via lattice surgery. A large merged pa…

Real-time portable muography with Hankuk Atmospheric-muon Wide Landscaping : HAWL
J. Seo, N. Carlin, D. F. F. S. Cavalcante, J. S. Chung, L. E. Franca, C. Ha, J. Kim, J. Y. Kim, H. Kimku, B. C. Koh, Y. J. Lee, B. B. Manzato, S. W. Oh, R. L. C. Pitta, S. J. Won
https://arxiv.org/abs/2403.02638 https://arxiv.org/pdf/2403.02638
arXiv:2403.02638v1 Announce Type: new
Abstract: Cosmic ray muons prove valuable across various fields, from particle physics experiments to non-invasive tomography, thanks to their high flux and exceptional penetrating capability. Utilizing a scintillator detector, one can effectively study the topography of mountains situated above tunnels and underground spaces. The Hankuk Atmospheric-muon Wide Landscaping (HAWL) project successfully charts the mountainous region of eastern Korea by measuring cosmic ray muons with a detector in motion. The real-time muon flux measurement shows a tunnel length accuracy of 6.5 %, with a detectable overburden range spanning from 8 to 400 meter-water-equivalent depth. This is the first real-time portable muon tomography.

Active control of road vehicle's drag for varying upstream flow conditions using a Recursive Subspace based Predictive Control methodology
Agostino Cembalo, Patrick Coirault, Jacques Bor\'ee, Cl\'ement Dumand, Guillaume Merc\`ere
https://arxiv.org/abs/2404.04652

Active control of road vehicle's drag for varying upstream flow conditions using a Recursive Subspace based Predictive Control methodology
The growing focus on reducing energy consumption, particularly in electric vehicles with limited autonomy, has prompted innovative solutions. In this context, we propose a real-time flap-based control system aimed at improving aerodynamic drag in real driving conditions. Employing a Recursive Subspace based Predictive Control (RSPC) approach, we conducted wind tunnel tests on a representative model vehicle at reduced scale equipped with flaps. Comprehensive assessments using pressure measuremen…

At this year's Berlin Buzzwords, join Desmond Obisi as he explores serverless Kafka and real-time data streaming with Node.js microservices, delving into Upstash's serverless Kafka architecture and how it can be used to build scalable and cost-effective solutions for microservices. #bbuzz

Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
Zahir Alsulaimawi
https://arxiv.org/abs/2403.04803 https:…

Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
This paper introduces an advanced approach for fortifying Federated Learning (FL) systems against label-flipping attacks. We propose a simplified consensus-based verification process integrated with an adaptive thresholding mechanism. This dynamic thresholding is designed to adjust based on the evolving landscape of model updates, offering a refined layer of anomaly detection that aligns with the real-time needs of distributed learning environments. Our method necessitates a majority consensus …

This https://arxiv.org/abs/2308.08280 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Large time asymptotics for partially dissipative hyperbolic systems without Fourier analysis: application to the nonlinearly damped p-system
A new framework to obtain time-decay estimates for partially dissipative hyperbolic systems set on the real line is developed. Under the classical Shizuta-Kawashima (SK) stability condition, equivalent to the Kalman rank condition in control theory, the solutions of these systems decay exponentially in time for high frequencies and polynomially for low ones. This allows to derive a sharp description of the space-time decay of solutions for large time. However, such analysis relies heavily on th…

Gaussian-LIC: Photo-realistic LiDAR-Inertial-Camera SLAM with 3D Gaussian Splatting
Xiaolei Lang, Laijian Li, Hang Zhang, Feng Xiong, Mu Xu, Yong Liu, Xingxing Zuo, Jiajun Lv
https://arxiv.org/abs/2404.06926

Gaussian-LIC: Photo-realistic LiDAR-Inertial-Camera SLAM with 3D Gaussian Splatting
We present a real-time LiDAR-Inertial-Camera SLAM system with 3D Gaussian Splatting as the mapping backend. Leveraging robust pose estimates from our LiDAR-Inertial-Camera odometry, Coco-LIC, an incremental photo-realistic mapping system is proposed in this paper. We initialize 3D Gaussians from colorized LiDAR points and optimize them using differentiable rendering powered by 3D Gaussian Splatting. Meticulously designed strategies are employed to incrementally expand the Gaussian map and adapt…

This https://arxiv.org/abs/2401.05548 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators
The field of edge computing has witnessed remarkable growth owing to the increasing demand for real-time processing of data in applications. However, challenges persist due to limitations in performance and power consumption. To overcome these challenges, heterogeneous architectures have emerged that combine host processors with specialized accelerators tailored to specific applications, leading to improved performance and reduced power consumption. However, most of the existing platforms lack …

This https://arxiv.org/abs/2403.02891 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Design of full order proportional-integral observer for the state estimation of discrete-time linear time-invariant systems
This paper is devoted to the design of full order proportional-integral observer for the state estimation of discrete-time linear time-invariant systems. In particular, explicit necessary and sufficient conditions are established for the existence of proportional-integral observer for the state estimation of discrete-time linear time-invariant systems and a simple procedure is given for the construction of the observer. Our approach is based on properties of real and polynomial matrices.

SARA: Smart AI Reading Assistant for Reading Comprehension
Enkeleda Thaqi, Mohamed Mantawy, Enkelejda Kasneci
https://arxiv.org/abs/2404.06906 https://

SARA: Smart AI Reading Assistant for Reading Comprehension
SARA integrates Eye Tracking and state-of-the-art large language models in a mixed reality framework to enhance the reading experience by providing personalized assistance in real-time. By tracking eye movements, SARA identifies the text segments that attract the user's attention the most and potentially indicate uncertain areas and comprehension issues. The process involves these key steps: text detection and extraction, gaze tracking and alignment, and assessment of detected reading difficult…

EMF Mitigation via 5G and 6G MAC Scheduling
Silvio Mandelli, Lorenzo Maggi, Bill Zheng, Christophe Grangeat, Azra Zejnilagic
https://arxiv.org/abs/2404.06830

EMF Mitigation via 5G and 6G MAC Scheduling
High antenna directivity allows for high throughput transmission but also increases the exposure to electromagnetic field (EMF) of the end-users. Health regulations impose limitations on the incident power density, that generate a negative impact on network performance. In this work we focus at the slot-by-slot operations of a cellular Medium Access Control (MAC) scheduler to constrain the short-term EMF exposure upon real-time resource allocation, minimizing the impacts on network performance.…

Real-time Regulation of Detention Ponds via Feedback Control: Balancing Flood Mitigation and Water Quality
Marcus N\'obrega Gomes Jr, Ahmad F. Taha, Luis Miguel C. R\'apallo, Eduardo M. Mendiondo, Marcio H. Giacomoni
https://arxiv.org/abs/2403.04675

Real-time Regulation of Detention Ponds via Feedback Control: Balancing Flood Mitigation and Water Quality
Floods in urban areas are becoming more intense due to unplanned urbanization and more frequent due to climate change. One of the most effective strategies to alleviate the effects of flooding is the use of flood control reservoirs such as detention ponds, which attenuate flood waves by storing water and slowing the release after the storm. Detention ponds can also improve water quality by allowing the settlement of pollutants inside the reservoir. The operation of most detention ponds occurs p…

Time Weaver: A Conditional Time Series Generation Model
Sai Shankar Narasimhan, Shubhankar Agarwal, Oguzhan Akcin, Sujay Sanghavi, Sandeep Chinchali
https://arxiv.org/abs/2403.02682

Time Weaver: A Conditional Time Series Generation Model
Imagine generating a city's electricity demand pattern based on weather, the presence of an electric vehicle, and location, which could be used for capacity planning during a winter freeze. Such real-world time series are often enriched with paired heterogeneous contextual metadata (weather, location, etc.). Current approaches to time series generation often ignore this paired metadata, and its heterogeneity poses several practical challenges in adapting existing conditional generation approach…

Passive Obstacle Aware Control to Follow Desired Velocities
Lukas Huber, Trinca Thibaud, Jean-Jacques Slotine, Aude Billard
https://arxiv.org/abs/2405.05669

Passive Obstacle Aware Control to Follow Desired Velocities
Evaluating and updating the obstacle avoidance velocity for an autonomous robot in real-time ensures robust- ness against noise and disturbances. A passive damping con- troller can obtain the desired motion with a torque-controlled robot, which remains compliant and ensures a safe response to external perturbations. Here, we propose a novel approach for designing the passive control policy. Our algorithm com- plies with obstacle-free zones while transitioning to increased damping near obstacles…

Lavender Evening Fog 🎠🫖🪻
Dramatized cozy haunted house mystery series | Total listening time: 10h 15m
Dr. Anna-Georgina Plume (Assistant Professor of Architectural History at Hollingsworth University) may be in over her head. Her specialization in educational architecture may not be helpful when her new home (also her o...
ht…

Lavender Evening Fog 🎠🫖🪻
Dramatized cozy haunted house mystery series | Total listening time: 10h 15m Dr. Anna-Georgina Plume (Assistant Professor of Architectural History at Hollingsworth University) may be in over her head. Her specialization in educational architecture may not be helpful when her new home (also her old elementary school) may be haunted. LGBT and woman showrunner, each episode has a tea pairing suggestion, the school that is central to the story is based on the real school the showrunner attende…

This https://arxiv.org/abs/2403.01145 has been replaced.
link: https://scholar.google.com/scholar?q=a

Mirror real Chern insulator in two and three dimensions
A real Chern insulator (RCI) featuring a real Chern number and a second-order boundary mode appears in a two-dimensional (2D) system with the space-time inversion symmetry (PT ). Here, we propose a kind of RCI: mirror real Chern insulator (MRCI) which emerges from the system having additional horizontal mirror symmetry Mz. The MRCI generally is characterized by two independent real Chern numbers, respectively defined in the two mirror subsystems of the system. Hence, the MRCI may host the secon…

Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
Zahir Alsulaimawi
https://arxiv.org/abs/2403.04803 https:…

Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
This paper introduces an advanced approach for fortifying Federated Learning (FL) systems against label-flipping attacks. We propose a simplified consensus-based verification process integrated with an adaptive thresholding mechanism. This dynamic thresholding is designed to adjust based on the evolving landscape of model updates, offering a refined layer of anomaly detection that aligns with the real-time needs of distributed learning environments. Our method necessitates a majority consensus …

Meta rolls out real-time AI image generation, which changes the image as the user types a prompt, in beta on WhatsApp and Meta AI on the web in the US (Emma Roth/The Verge)
https://www.theverge.com/2024/4/18/24134079/meta-real-time-ai-image-…

Meta is adding real-time AI image generation to WhatsApp
Meta is rolling out real-time image generation in beta for WhatsApp users in the US. This lets users watch Meta’s Llama 3 create an image as they type a prompt.

This https://arxiv.org/abs/2311.15859 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Efficient solution of the non-unitary time-dependent Schrodinger equation on a quantum computer with complex absorbing potential
We explore the possibility of adding complex absorbing potential at the boundaries when solving the one-dimensional real-time Schrödinger evolution on a grid using a quantum computer with a fully quantum algorithm described on a $n$ qubit register. Due to the complex potential, the evolution mixes real- and imaginary-time propagation and the wave function can potentially be continuously absorbed during the time propagation. We use the dilation quantum algorithm to treat the imaginary-time evol…

Moderating Embodied Cyber Threats Using Generative AI
Keyan Guo, Freeman Guo, Hongxin Hu
https://arxiv.org/abs/2405.05928 https://arx…

Moderating Embodied Cyber Threats Using Generative AI
The advancement in computing and hardware, like spatial computing and VR headsets (e.g., Apple's Vision Pro) [1], has boosted the popularity of social VR platforms (VRChat, Rec Room, Meta HorizonWorlds) [2, 3, 4]. Unlike traditional digital interactions, social VR allows for more immersive experiences, with avatars that mimic users' real-time movements and enable physical-like interactions. However, the immersive nature of social VR may introduce intensified and more physicalized cyber threats-…

A Realistic Surgical Simulator for Non-Rigid and Contact-Rich Manipulation in Surgeries with the da Vinci Research Kit
Yafei Ou, Sadra Zargarzadeh, Paniz Sedighi, Mahdi Tavakoli
https://arxiv.org/abs/2404.05888

A Realistic Surgical Simulator for Non-Rigid and Contact-Rich Manipulation in Surgeries with the da Vinci Research Kit
Realistic real-time surgical simulators play an increasingly important role in surgical robotics research, such as surgical robot learning and automation, and surgical skills assessment. Although there are a number of existing surgical simulators for research, they generally lack the ability to simulate the diverse types of objects and contact-rich manipulation tasks typically present in surgeries, such as tissue cutting and blood suction. In this work, we introduce CRESSim, a realistic surgica…

Generative Model for Joint Resource Management in Multi-Cell Multi-Carrier NOMA Networks
Elhadj Moustapha Diallo
https://arxiv.org/abs/2405.05531 https://<…

Generative Model for Joint Resource Management in Multi-Cell Multi-Carrier NOMA Networks
In this work, we design a generative artificial intelligence (GAI) -based framework for joint resource allocation, beamforming, and power allocation in multi-cell multi-carrier non-orthogonal multiple access (NOMA) networks. We formulate the proposed problem as sum rate maximization problem. Next, we design a novel multi-task transformer (MTT) framework to handle the problem in real-time. To provide the necessary training set, we consider simplified but powerful mathematical techniques from the…

Moderating Embodied Cyber Threats Using Generative AI
Keyan Guo, Freeman Guo, Hongxin Hu
https://arxiv.org/abs/2405.05928 https://arx…

Moderating Embodied Cyber Threats Using Generative AI
The advancement in computing and hardware, like spatial computing and VR headsets (e.g., Apple's Vision Pro) [1], has boosted the popularity of social VR platforms (VRChat, Rec Room, Meta HorizonWorlds) [2, 3, 4]. Unlike traditional digital interactions, social VR allows for more immersive experiences, with avatars that mimic users' real-time movements and enable physical-like interactions. However, the immersive nature of social VR may introduce intensified and more physicalized cyber threats-…

Real-time solution of quadratic optimization problems with banded matrices and indicator variables
Andres Gomez, Shaoning Han, Leonardo Lozano
https://arxiv.org/abs/2405.03051

Real-time solution of quadratic optimization problems with banded matrices and indicator variables
We consider mixed-integer quadratic optimization problems with banded matrices and indicator variables. These problems arise pervasively in statistical inference problems with time-series data, where the banded matrix captures the temporal relationship of the underlying process. In particular, the problem studied arises in monitoring problems, where the decision-maker wants to detect changes or anomalies. We propose to solve these problems using decision diagrams. In particular we show how to e…

NGM-SLAM: Gaussian Splatting SLAM with Radiance Field Submap
Mingrui Li, Jingwei Huang, Lei Sun, Aaron Xuxiang Tian, Tianchen Deng, Hongyu Wang
https://arxiv.org/abs/2405.05702

NGM-SLAM: Gaussian Splatting SLAM with Radiance Field Submap
Gaussian Splatting has garnered widespread attention due to its exceptional performance. Consequently, SLAM systems based on Gaussian Splatting have emerged, leveraging its capabilities for rapid real-time rendering and high-fidelity mapping. However, current Gaussian Splatting SLAM systems usually struggle with large scene representation and lack effective loop closure adjustments and scene generalization capabilities. To address these issues, we introduce NGM-SLAM, the first GS-SLAM system th…

This https://arxiv.org/abs/2311.14035 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Two-dimensional coherent spectrum of high-spin models via a quantum computing approach
We present and benchmark a quantum computing approach to calculate the two-dimensional coherent spectrum (2DCS) of high-spin models. Our approach is based on simulating their real-time dynamics in the presence of several magnetic field pulses, which are spaced in time. We utilize the adaptive variational quantum dynamics simulation (AVQDS) algorithm for the study due to its compact circuits, which enables simulations over sufficiently long times to achieve the required resolution in frequency s…

This https://arxiv.org/abs/2309.04386 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

ARRTOC: Adversarially Robust Real-Time Optimization and Control
Real-Time Optimization (RTO) plays a crucial role in the process operation hierarchy by determining optimal set-points for the lower-level controllers. However, at the control layer, these set-points may be difficult to track due to challenges in implementation as a result of disturbances, measurement noise, and actuator performance limitations. To address this, in this paper, we present the Adversarially Robust Real-Time Optimization and Control (ARRTOC) algorithm. ARRTOC addresses this issue …

Replit launches Code Repair, an AI agent to automatically fix coding errors, and Teams, which allows developers to collaborate in real time on software projects (Reed Albergotti/Semafor)
https://www.semafor.com/article/04/02/2024

Replit launches new product in race for AI coding assistants | Semafor
The startup is unveiling Replit Teams, which will allow developers to collaborate in real-time on software projects.

This https://arxiv.org/abs/2310.04781 has been replaced.
link: https://scholar.google.com/scholar?q=a

Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories
Visual control enables quadrotors to adaptively navigate using real-time sensory data, bridging perception with action. Yet, challenges persist, including generalization across scenarios, maintaining reliability, and ensuring real-time responsiveness. This paper introduces a perception framework grounded in foundation models for universal object detection and tracking, moving beyond specific training categories. Integral to our approach is a multi-layered tracker integrated with the foundation …

Sparse Wearable Sonomyography Sensor-based Proprioceptive Proportional Control Across Multiple Gestures
Anne Tryphosa Kamatham, Kavita Sharma, Srikumar Venkataraman, Biswarup Mukherjee
https://arxiv.org/abs/2403.05308

Sparse Wearable Sonomyography Sensor-based Proprioceptive Proportional Control Across Multiple Gestures
Sonomyography (SMG) is a non-invasive technique that uses ultrasound imaging to detect the dynamic activity of muscles. Wearable SMG systems have recently gained popularity due to their potential as human-computer interfaces for their superior performance compared to conventional methods. This paper demonstrates real-time positional proportional control of multiple gestures using a multiplexed 8-channel wearable SMG system. The amplitude-mode ultrasound signals from the SMG system were utilized…

A Market Mechanism for a Two-stage Settlement Electricity Market with Energy Storage
Rajni Kant Bansal, Enrique Mallada, Patricia Hidalgo-Gonzalez
https://arxiv.org/abs/2403.04609

A Market Mechanism for a Two-stage Settlement Electricity Market with Energy Storage
Electricity markets typically clear in two stages: a day-ahead market and a real-time market. In this paper, we propose market mechanisms for a two-stage multi-interval electricity market with energy storage, generators, and demand uncertainties. We consider two possible mixed bidding strategies: storage first bids cycle depths in the day ahead and then charge-discharge power bids in the real-time market for any last-minute adjustments. While the first strategy only considers day-ahead decision…

Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems
Trung Thanh Nguyen, Truong Thao Nguyen, Dinh Tuan Anh Nguyen, Thanh Hung Nguyen, Phi Le Nguyen
https://arxiv.org/abs/2405.01609

Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems
We focus on real-time air quality monitoring systems that rely on devices installed on automobiles in this research. We investigate an opportunistic communication model in which devices can send the measured data directly to the air quality server through a 4G communication channel or via Wi-Fi to adjacent devices or the so-called Road Side Units deployed along the road. We aim to reduce 4G costs while assuring data latency, where the data latency is defined as the amount of time it takes for d…

Replit launches Code Repair, an AI agent to automatically fix coding errors, and Teams, which allows developers to collaborate in real time on software projects (Reed Albergotti/Semafor)
https://www.semafor.com/article/04/02/2024

Replit launches new product in race for AI coding assistants | Semafor
The startup is unveiling Replit Teams, which will allow developers to collaborate in real-time on software projects.

Comparison of Spatial Visualization Techniques for Radiation in Augmented Reality
Fintan McGee, Roderick McCall, Joan Baixauli
https://arxiv.org/abs/2403.05403

Comparison of Spatial Visualization Techniques for Radiation in Augmented Reality
Augmented Reality (AR) provides a safe and low-cost option for hazardous safety training that allows for the visualization of aspects that may be invisible, such as radiation. Effectively visually communicating such threats in the environment around the user is not straightforward. This work describes visually encoding radiation using the spatial awareness mesh of an AR Head Mounted Display. We leverage the AR device's GPUs to develop a real time solution that accumulates multiple dynamic sourc…

This https://arxiv.org/abs/2304.11259 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Consensus Complementarity Control for Multi-Contact MPC
We propose a hybrid model predictive control algorithm, consensus complementarity control (C3), for systems that make and break contact with their environment. Many state-of-the-art controllers for tasks which require initiating contact with the environment, such as locomotion and manipulation, require a priori mode schedules or are too computationally complex to run at real-time rates. We present a method based on the alternating direction method of multipliers (ADMM) that is capable of high-s…

This https://arxiv.org/abs/2309.12543 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Real-time Batched Distance Computation for Time-Optimal Safe Path Tracking
In human-robot collaboration, there has been a trade-off relationship between the speed of collaborative robots and the safety of human workers. In our previous paper, we introduced a time-optimal path tracking algorithm designed to maximize speed while ensuring safety for human workers. This algorithm runs in real-time and provides the safe and fastest control input for every cycle with respect to ISO standards. However, true optimality has not been achieved due to inaccurate distance computat…

Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps
Timothy Chen, Ola Shorinwa, Weijia Zeng, Joseph Bruno, Philip Dames, Mac Schwager
https://arxiv.org/abs/2403.02751

Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps
We present Splat-Nav, a navigation pipeline that consists of a real-time safe planning module and a robust state estimation module designed to operate in the Gaussian Splatting (GSplat) environment representation, a popular emerging 3D scene representation from computer vision. We formulate rigorous collision constraints that can be computed quickly to build a guaranteed-safe polytope corridor through the map. We then optimize a B-spline trajectory through this corridor. We also develop a real-…

This https://arxiv.org/abs/2308.01654 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Towards a Safe Real-Time Motion Planning Framework for Autonomous Driving Systems: An MPPI Approach
Planning safe trajectories in Autonomous Driving Systems (ADS) is a complex problem to solve in real-time. The main challenge to solve this problem arises from the various conditions and constraints imposed by road geometry, semantics and traffic rules, as well as the presence of dynamic agents. Recently, Model Predictive Path Integral (MPPI) has shown to be an effective framework for optimal motion planning and control in robot navigation in unstructured and highly uncertain environments. In t…