Tootfinder

Source: Cognition, which offers an AI coding assistant, raised $175M led by Founders Fund at a $2B valuation, a month after a Series A at a $350M valuation (Kate Clark/The Information)
https://www.theinformation.com/articles/si

Six-Month-Old AI Coding Startup Valued at $2 Billion by Founders Fund
The promise of a chatbot that can write and fix code has attracted repeat investments in a six-month-old startup—even after it appeared to flub its product launch. Founders Fund has led a $175 million investment in Cognition, a startup that recently launched an artificial intelligence–powered ...

Altered grid-like coding in early blind people https://www.nature.com/articles/s41467-024-47747-x Early blind people have a square grid map instead of a hexagonal grid map for navigation in their entorhinal cortex;

Altered grid-like coding in early blind people - Nature Communications
The contribution of visual experience to the formation of cognitive maps in humans is not well understood. Here, the authors show using fMRI and an imagined navigation paradigm, that sighted people display hexagonal grid-like neural coding, while blind people show neural representations consistent with a square grid.

Hellocatfood, who I just boosted, is also the co-founder of algo-afro futures:
"(Algo|Afro) Futures is a mentoring programme for early career Black artists who want to explore creative coding and live coding.
Live coding is a performative practice where artists and musicians use code to create live music and live visuals."
https://…

Agreed, except for “summarization” of text that I haven’t read (e.g. “summarize this financial report for me”), because there is no way to tell if the summary is accurate and does not omit important elements.
I think Microsoft Copilot for helping coders has legs. Coding problems tend to be the same set of queries repeated over and over, with slight variations in theme: perfect for LLMs.

I just updated https://jws.dev: Removed tumblr and tweaked the fun coding list

Well, the unit tests did find a bug. A bug I had worried is lurking, but still.
At times it can feel like writing tests is too much effort, esp. if tests only occasionally find bugs, but helps to remember this is only because we become more careful with design and coding due to the awareness that we also write tests.
So, the payoff from writing tests is not from the tests themselves, but from the mindset and awareness it brings. Plus regression testing.

A Novel Channel Coding Scheme for Digital Multiple Access Computing
Xiaojing Yan, Saeed Razavikia, Carlo Fischione
https://arxiv.org/abs/2404.16476 https:/…

A Novel Channel Coding Scheme for Digital Multiple Access Computing
In this paper, we consider the ChannelComp framework, which facilitates the computation of desired functions by multiple transmitters over a common receiver using digital modulations across a multiple access channel. While ChannelComp currently offers a broad framework for computation by designing digital constellations for over-the-air computation and employing symbol-level encoding, encoding the repeated transmissions of the same symbol and using the corresponding received sequence may signif…

This https://arxiv.org/abs/2307.15184 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Sparsity aware coding for single photon sensitive vision using Selective Sensing
Optical coding is widely used in computational imaging systems and is a good approach for designing vision systems. However, most coding methods are developed assuming additive Gaussian noise, while modern optical imaging systems are mainly affected by Poisson noise. Previous studies have highlighted the significant differences between these noise models and proposed coding optimization algorithms for image recovery under Poisson noise. They concluded that the compressibility arising from data …

Strudel is too addictive https://strudel.cc/?Er88OsfCyeGt

This https://arxiv.org/abs/2303.06391 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Semantic-Aware Multi-Terminal Coding for Gaussian Mixture Sources
A novel distributed source coding model which named semantic-aware multi-terminal (MT) source coding is proposed and investigated in the paper, where multiple agents independently encode an imperceptible semantic source, while both semantic and observations are reconstructed within their respective fidelity criteria. We start from a generalized single-letter characterization of sum rate-distortion region of this problem. Furthermore, we propose a mixed MSE-Log loss framework for this model and …

In preparation for teaching a 3-day "Computing within limits" workshop @ University of Applied Sciences in Augsburg, almost exactly a year ago (next week) I created a little fantasy console (heavily inspirered by TIC80) to introduce students to:
- the idea of virtual machines / computing environments
- the freedom to design & control any aspect of that environment (and how this relates to the overall idea of personal computing these days)
- designing & build…

Broadly scoped ecosystem & mono-repository of 190 TypeScript projects for general purpose, functional, data driven development

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

Excited to be part of the
✨ Summer School on Research Software Engineering ✨
hosted by Karlsruhe Institute of Technology from September 23 to 27, 2024.
Application deadline: May 17
Looking forward to seeing you there! 🙌
https://buff.ly/4d6NyID

RSE Summer School
Welcome to the first Summer School on Research Software Engineering, hosted by Karlsruhe Institute of Technology from September 23 to 27, 2024.You want to learn about essential RSE topics such as collaborative coding, software publication and licensing, continuous integration and testing, documentation as code and more? Then this is the right event for you. We are looking for attendees with their own codes and who are willing to use the skills learned during the courses right away for their...

A Novel Channel Coding Scheme for Digital Multiple Access Computing
Xiaojing Yan, Saeed Razavikia, Carlo Fischione
https://arxiv.org/abs/2404.16476 https:/…

A Novel Channel Coding Scheme for Digital Multiple Access Computing
In this paper, we consider the ChannelComp framework, which facilitates the computation of desired functions by multiple transmitters over a common receiver using digital modulations across a multiple access channel. While ChannelComp currently offers a broad framework for computation by designing digital constellations for over-the-air computation and employing symbol-level encoding, encoding the repeated transmissions of the same symbol and using the corresponding received sequence may signif…

Played Font Tournament and found my preferred font for coding. Neat idea:
#programming #fonts

AI coding assistant startup Augment emerges from stealth with a $227M Series B at a $977M post-money valuation, following a $25M Series A led by Sutter Hill (Kyle Wiggers/TechCrunch)
https://techcrunch.com/2024/04/24/eric

Exclusive: Eric Schmidt-backed Augment, a GitHub Copilot rival, launches out of stealth with $252M
Augment, a startup developing an AI-powered platform similar to GitHub's Copilot, has launched out of stealth valued at nearly $1 billion.

Xcode bekommt KI-Coding-Funktionen
Ähnlich wie Github Copilot und andere Programmierassistenten soll Xcode dank KI besseren Code ausspucken. Diese Features wurden angekündigt.
https://www.heise.de…

Things You Should Never Do As A Software Engineer
https://favtutor.com/articles/donts-for-software-engineer/

On the train to Aachen, falling in love with @…'s new stepwise functions https://strudel.cc/?LSngl_Vg2IBs

This https://arxiv.org/abs/2404.01276 has been replaced.
link: https://scholar.google.com/scholar?q=a

Variable-Length Stop-Feedback Coding for Minimum Age of Incorrect Information
The Age of Incorrect Information (AoII) is examined within the context of remote monitoring of a Markov source using variable-length stop-feedback (VLSF) coding. Leveraging recent results on the non-asymptotic channel coding rate, we consider sources with small cardinality, where feedback is non-instantaneous as the transmitted information and feedback message have comparable lengths. We focus on the feedback sequence, i.e. the times of feedback transmissions, and derive AoII-optimal and delay-…

AI-Assisted Assessment of Coding Practices in Modern Code Review
Manushree Vijayvergiya, Ma{\l}gorzata Salawa, Ivan Budiseli\'c, Dan Zheng, Pascal Lamblin, Marko Ivankovi\'c, Juanjo Carin, Mateusz Lewko, Jovan Andonov, Goran Petrovi\'c, Daniel Tarlow, Petros Maniatis, Ren\'e Just
https://arxiv.org/abs/2405.13565<…

Excited to be part of the
✨ Summer School on Research Software Engineering ✨
hosted by Karlsruhe Institute of Technology from September 23 to 27, 2024.
Application deadline: May 17
Looking forward to seeing you there! 🙌
https://buff.ly/4d6NyID

RSE Summer School
Welcome to the first Summer School on Research Software Engineering, hosted by Karlsruhe Institute of Technology from September 23 to 27, 2024.You want to learn about essential RSE topics such as collaborative coding, software publication and licensing, continuous integration and testing, documentation as code and more? Then this is the right event for you. We are looking for attendees with their own codes and who are willing to use the skills learned during the courses right away for their...

AI coding startup Replit, which raised $220M and was last valued at $1B, lays off 30 employees, or 20% of its staff, and pivots to enterprise sales (Stephanie Palazzolo/The Information)
https://www.theinformation.com/briefings/a

AI Coding Startup Replit Cuts 20% of Staff, Shifts to Enterprise Sales
Replit, a San Francisco-based startup developing an artificial intelligence-powered coding assistant, has laid off 30 employees, or 20% of its staff, according to an email CEO Amjad Masad posted on X on Thursday. Replit has raised more than $220 million in funding from Andreessen Horowitz, Coatue Management and others, and was last valued at over $1 billion. The company wants to serve more

SmartCS: Enabling the Creation of ML-Powered Computer Vision Mobile Apps for Citizen Science Applications without Coding
Fahim Hasan Khan, Akila de Silva, Gregory Dusek, James Davis, Alex Pang
https://arxiv.org/abs/2405.14323

Visual Studio 2022 17.10 is available. This release features a new, single GitHub Copilot extension. To enable these AI experiences, activate your GitHub Copilot subscription today by signing in to GitHub and starting a free trial.
https://devblogs.microsoft.com/visuals

Die neuen "Full Site Editor"-Themes bei #Wordpress mögen manche Anpassungen leichter machen, wenn man keine Coding-Ahnung hat. Sie machen das Erstellen und Anpassen von Themes für Menschen mit mäßiger Coding-Ahnung aber um einiges schwieriger...

Online Course: Coding in the Elementary Grades #tcea #tceajmg: https://mglinks.org/2024/05/31/online-

Snowflake announces Arctic, an LLM optimized for enterprise tasks such as SQL generation, coding, and instruction following, with an Apache 2.0 license (Shubham Sharma/VentureBeat)
https://venturebeat.com/data-infrastru

2021 retro-link! https://matduggan.com/why-we-need-better/ - Coding for non-programmers: we need better web GUI automation tools.

Individual differences in prefrontal coding of visual features https://www.biorxiv.org/content/10.1101/2024.05.09.588948v1 Striking individual differences in the coding schemes of LPFC, while coding scheme of the ventral visual stream remains more consistent acros…

AI-Assisted Assessment of Coding Practices in Modern Code Review
Manushree Vijayvergiya, Ma{\l}gorzata Salawa, Ivan Budiseli\'c, Dan Zheng, Pascal Lamblin, Marko Ivankovi\'c, Juanjo Carin, Mateusz Lewko, Jovan Andonov, Goran Petrovi\'c, Daniel Tarlow, Petros Maniatis, Ren\'e Just
https://arxiv.org/abs/2405.13565<…

Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices
Weiheng Tang, Jingyi Li, Lin Chen, Xu Chen
https://arxiv.org/abs/2406.10831

Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices
Edge computing has recently emerged as a promising paradigm to boost the performance of distributed learning by leveraging the distributed resources at edge nodes. Architecturally, the introduction of edge nodes adds an additional intermediate layer between the master and workers in the original distributed learning systems, potentially leading to more severe straggler effect. Recently, coding theory-based approaches have been proposed for stragglers mitigation in distributed learning, but the …

Prospective and retrospective coding in cortical neurons
Simon Brandt, Mihai Alexandru Petrovici, Walter Senn, Katharina Anna Wilmes, Federico Benitez
https://arxiv.org/abs/2405.14810

"Coding for fun, or coding for money, are two absolutely, completely, and irrevocably orthogonal activities. This offset applies not only to coding, by the way; performing any human activity for the mere objective of getting paid, substantially modifies the dynamics of the activity in question, and more importantly, of the person doing it, in ways that neither psychology nor economics fully understand."

Specialization Is For Insects
There is a whole field called "Recreational Mathematics;" a moniker that might as well be replaced with "Mathematics as a Hobby." I personally enjoy dabbling in it a lot; I am mostly interested in number theory feats: Ramanujan's hypergeometric series and continuous fractions converging to Pi in the most weird ways are among my favorites.

Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization
Zhibo Chen, Heming Sun, Li Zhang, Fan Zhang
https://arxiv.org/abs/2405.14221

Visual Studio 2022 17.10 is available. This release features a new, single GitHub Copilot extension. To enable these AI experiences, activate your GitHub Copilot subscription today by signing in to GitHub and starting a free trial.
https://devblogs.microsoft.com/visuals

Love this posts but I question:
1. coding... maybe as an elective
2. Social Etiquette seems like a hard thing to agree on.
https://mastodon.world/@mapache_tico/112620779593401305

Mapache_Tico (@mapache_tico@mastodon.world)
Attached: 1 image

Sometimes I'll just be going about my day and then I stop and think: if when we're coding we pronounce "char" like "kah" because it's short for "character", why don't we pronounce "enum" like "enoom" because it's short for "enumeration"?

I've got a strange one for all my #coding friends today.
I rebased a local branch of a repo and did the usual #git push --force to overwrite the remote branch.
A git status shows everything is great but five seconds later #VSC

Distributed Indirect Source Coding with Decoder Side Information
Jiancheng Tang, Qianqian Yang, Deniz G\"und\"uz
https://arxiv.org/abs/2405.13483

Data modeling is how you solve most problems in coding. Define the problem correctly, and it's nearly impossible to get wrong.
http://blog.jenkster.com/2016/06/how-elm-slays-a-ui-antipattern.html

Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization
Zhibo Chen, Heming Sun, Li Zhang, Fan Zhang
https://arxiv.org/abs/2405.14221

Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices
Weiheng Tang, Jingyi Li, Lin Chen, Xu Chen
https://arxiv.org/abs/2406.10831

Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices
Edge computing has recently emerged as a promising paradigm to boost the performance of distributed learning by leveraging the distributed resources at edge nodes. Architecturally, the introduction of edge nodes adds an additional intermediate layer between the master and workers in the original distributed learning systems, potentially leading to more severe straggler effect. Recently, coding theory-based approaches have been proposed for stragglers mitigation in distributed learning, but the …

Have you listened to our #TNC24 podcast yet? Listen to Karel van Klink from GÉANT describe the insightful session he is chairing 'Coding Your Network'. Join the sessions to learn how our community members have designed and deployed network orchestration setups on #network automation at TNC on Thursd…

Coding Your Network
Listen to this episode from Get Ready for TNC on Spotify. Join us for an insightful session on network automation! Learn how our community members have designed and deployed network orchestration setups. We will have talks on the tools used to achieve network service orchestration. Discover parallel journeys of ESnet and Internet2, showcasing their similar yet unique automation paths. Closing the session with a presentation on migrating an entire network, making use of automation and orchestrat…

I regularly introduce humanities students with no prior experience to coding, markup, or similar tasks. The first thing usually needed is a decent text editor. I know #VSCode is the thing™ at the moment, but even I find it completely overwhelming with its myriad of panes and popups. Is there a simpler option? I’m still on

so today I made my very first unique code snippets.....
and why the hell didnt I do that sooner?!?!
#Coding #Programming #GameDev

As CS students experiment with AI coding tools, professors say courses need to focus less on syntax and more on problem solving, design, testing, and debugging (Rina Diane Caballar/IEEE Spectrum)
https://spectrum.ieee.org/ai-coding

AI Copilots Are Changing How Coding Is Taught

Professors are shifting away from syntax and emphasizing higher-level skills

Wow, what a fantastic talk by CSS noob @…, live-coding complex grids at #CSSDay! 👏💪🥳

This computer science professor strongly endorses the advice in this thread from @…. The initial framing is about working with/around generative AI in coding, but the lesson is so much bigger.
If you want to learn it, play with it.
Reading, studying, listening: that’s all just the setup for the learning. The real learning begins when the play b…

CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
Kaiyuan Chen, Xingzhuo Guo, Yu Zhang, Jianmin Wang, Mingsheng Long
https://arxiv.org/abs/2405.02384

CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
Predictive Coding (PC) is a theoretical framework in cognitive science suggesting that the human brain processes cognition through spatiotemporal prediction of the visual world. Existing studies have developed spatiotemporal prediction neural networks based on the PC theory, emulating its two core mechanisms: Correcting predictions from residuals and hierarchical learning. However, these models do not show the enhancement of prediction skills on real-world forecasting tasks and ignore the Preci…

🔴 Starting my stream, I will be coding, playing hackmud and Elite Dangerous, and being a general nuisance on the internet 🔴

Speaking about events, I'll be representing #Perl at this new event / meetup next week in Vienna: https://www.meetup.com/codenugget-meetup/events/299856331/

AOC: Analysis of Orthologous Collections -- an application for the characterization of natural selection in protein-coding sequences
Alexander Lucaci, Sergei Pond
https://arxiv.org/abs/2406.09522

AOC: Analysis of Orthologous Collections -- an application for the characterization of natural selection in protein-coding sequences
Motivation Modern molecular sequence analysis increasingly relies on automated and robust software tools for interpretation, annotation, and biological insight. The Analysis of Orthologous Collections (AOC) application automates the identification of genomic sites and species/lineages influenced by natural selection in coding sequence analysis. AOC quantifies different types of selection: negative, diversifying or directional positive, or differential selection between groups of branches. We in…

Kernighan's Law II: Revenge of the Debugged
(I agree, @… !)
https://ioc.exchange/@shac/112391029055067523

I'm writing a fluid simulator as an excuse to learn more #shader coding.
I get now why people keep reinventing fluid simulators — there's some very clever math in the fundamentals, but also the problem has no right solution, so there's also lot that can be fudged and tweaked for different results.

Impact of AI-tooling on the Engineering Workspace
Lena Chretien, Nikolas Albarran
https://arxiv.org/abs/2406.07683 https://arxiv.org/…

Impact of AI-tooling on the Engineering Workspace
To understand the impacts of AI-driven coding tools on engineers' workflow and work environment, we utilize the Jellyfish platform to analyze indicators of change. Key indicators are derived from Allocations, Coding Fraction vs. PR Fraction, Lifecycle Phases, Cycle Time, Jira ticket size, PR pickup time, PR comments, PR comment count, interactions, and coding languages. Significant changes were observed in coding time fractions among Copilot users, with an average decrease of 3% with individual…

This is a really cool find: Build a Frontend Web Framework from Scratch by Ángel Sola Orbaiceta.
Basically a deep dive into the internals of how a modern frontend framework works. It’s on sale right now at https://shortener.manning.com/pde2
@…

On Annotation-free Optimization of Video Coding for Machines
Marc Windsheimer, Fabian Brand, Andr\'e Kaup
https://arxiv.org/abs/2406.07938 https://

On Annotation-free Optimization of Video Coding for Machines
Today, image and video data is not only viewed by humans, but also automatically analyzed by computer vision algorithms. However, current coding standards are optimized for human perception. Emerging from this, research on video coding for machines tries to develop coding methods designed for machines as information sink. Since many of these algorithms are based on neural networks, most proposals for video coding for machines build upon neural compression. So far, optimizing the compression by …

5 Lessons I Learned From Making 100 Coding Tutorials https://www.youtube.com/watch?v=1C6FQOzDmjg

Wow, what a fantastic talk by CSS noob @…, live-coding complex grids at #CSSDay! 👏💪🥳

Mastering #Caching in Distributed Applications
https://medium.com/@yt-cloudwaydigital/mastering-caching-in-distributed-applications-e744…

Outage Probability in Network Coding Based Cooperative Wireless Networks over Nakagami-m Fading Channels
Elias Benamira, Fatiha Merazka, G\"une\c{s} Karabulut Kurt
https://arxiv.org/abs/2406.08781

Outage Probability in Network Coding Based Cooperative Wireless Networks over Nakagami-m Fading Channels
In this paper, we develop an accurate closed-form analytic expression of the outage probability for each source-destination (S-D) pair in the two S-D pairs two relays wireless network, where cooperative network coding is applied over Nakagami-$m$ fading channels. For different values of the shape parameter $m$, our analytic relation is validated with Monte-Carlo simulations of the outage probability using the overall equivalent signal-to-noise ratio (SNR) within each source-destination pair. Th…

MIMO with 1-bit Pre/Post-Coding Resolution: A Quantum Annealing Approach
Ioannis Krikidis
https://arxiv.org/abs/2406.04708 https://ar…

MIMO with 1-bit Pre/Post-Coding Resolution: A Quantum Annealing Approach
In this paper, we study the problem of digital pre/post-coding design in multiple-input multiple-output (MIMO) systems with 1-bit resolution per complex dimension. The optimal solution that maximizes the received signal-to-noise ratio relies on an NP-hard combinatorial problem that requires exhaustive searching with exponential complexity. By using the principles of alternating optimization and quantum annealing (QA), an iterative QA-based algorithm is proposed that achieves near-optimal perfor…

Every now and then I see Copilot replies include garbage prompts I never entered (see the underlined part on Line 1), and then garbage Copilot's response to that. I typically ignore them because I'm like "hallucination".
But I just saw something that is a whole new level: a garbage prompt and response bleeding from someone else's session (see last three lines). Looks an actual prompt from another user and Copilot's inner monolog to respond. 🥺

5 Lessons I Learned From Making 100 Coding Tutorials https://www.youtube.com/watch?v=1C6FQOzDmjg

Hierarchical Coded Caching with Low Subpacketization and Coding Delay
Rashid Ummer N. T., B. Sundar Rajan
https://arxiv.org/abs/2405.12747 https://<…

Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward
Agnia Sergeyuk, Yaroslav Golubev, Timofey Bryksin, Iftekhar Ahmed
https://arxiv.org/abs/2406.07765

Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward
The last several years saw the emergence of AI assistants for code -- multi-purpose AI-based helpers in software engineering. Their quick development makes it necessary to better understand how specifically developers are using them, why they are not using them in certain parts of their development workflow, and what needs to be improved. In this work, we carried out a large-scale survey aimed at how AI assistants are used, focusing on specific software development activities and stages. We c…

Efficient Learned Wavelet Image and Video Coding
Anna Meyer, Srivatsa Prativadibhayankaram, Andr\'e Kaup
https://arxiv.org/abs/2405.12631 https://

Hierarchical Coded Caching with Low Subpacketization and Coding Delay
Rashid Ummer N. T., B. Sundar Rajan
https://arxiv.org/abs/2405.12747 https://<…

Under peer review, but single-blind so I guess ok to share.. A paper-in-progress "From Konnakol to Live Coding". Critical feedback very welcome
https://github.com/yaxu/farm24/blob/main/farm24.pdf

Sources: Cambridge-based Raspberry Pi is finalizing plans to float on the London stock market this month in a deal that could value the company at up to £500M (The Sunday Times)
https://www.thetimes.co.uk/article/british-tech-firm-ra…

British tech firm Raspberry Pi lines up £500m float
The Cambridge business sells cheap, credit-card-sized computers and was originally set up to help get children into coding

Every now and then I see Copilot replies include garbage prompts I never entered (see the underlined part on Line 1), and then garbage Copilot's response to that. I typically ignore them because I'm like "hallucination".
But I just saw something that is a whole new level: a garbage prompt and response bleeding from someone else's session (see last three lines). Looks an actual prompt from another user and Copilot's inner monolog to respond. 🥺

#Map-Oriented Programming in #Java
https://levelup.gitconnected.com/map-o

going to track my election volunteer hours this season.
so far a split between texting and coding for Spoke https://github.com/StateVoicesNational/Spoke

This https://arxiv.org/abs/2311.12609 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Reinforcement Learning for Near-Optimal Design of Zero-Delay Codes for Markov Sources
In the classical lossy source coding problem, one encodes long blocks of source symbols that enables the distortion to approach the ultimate Shannon limit. Such a block-coding approach introduces large delays, which is undesirable in many delay-sensitive applications. We consider the zero-delay case, where the goal is to encode and decode a finite-alphabet Markov source without any delay. It has been shown that this problem lends itself to stochastic control techniques, which lead to existence,…

Under peer review, but single-blind so I guess ok to share.. A paper-in-progress "From Konnakol to Live Coding". Critical feedback very welcome
https://github.com/yaxu/farm24/blob/main/farm24.pdf

Video Coding with Cross-Component Sample Offset
Han Gao, Xin Zhao, Tianqi Liu, Shan Liu
https://arxiv.org/abs/2406.01795 https://arxi…

Video Coding with Cross-Component Sample Offset
Beyond the exploration of traditional spatial, temporal and subjective visual signal redundancy in image and video compression, recent research has focused on leveraging cross-color component redundancy to enhance coding efficiency. Cross-component coding approaches are motivated by the statistical correlations among different color components, such as those in the Y'CbCr color space, where luma (Y) color component typically exhibits finer details than chroma (Cb/Cr) color components. Inspired …

Error-Resilient Weakly Constrained Coding via Row-by-Row Coding
Prachi Mishra, Navin Kashyap
https://arxiv.org/abs/2404.18469 https://

Error-Resilient Weakly Constrained Coding via Row-by-Row Coding
A weakly constrained code is a collection of finite-length strings over a finite alphabet in which certain substrings or patterns occur according to some prescribed frequencies. Buzaglo and Siegel (ITW 2017) gave a construction of weakly constrained codes based on row-by-row coding, that achieved the capacity of the weak constraint. In this paper, we propose a method to make this row-by-row coding scheme resilient to errors.

This https://arxiv.org/abs/2311.16396 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Toward Effective Secure Code Reviews: An Empirical Study of Security-Related Coding Weaknesses
Identifying security issues early is encouraged to reduce the latent negative impacts on software systems. Code review is a widely-used method that allows developers to manually inspect modified code, catching security issues during a software development cycle. However, existing code review studies often focus on known vulnerabilities, neglecting coding weaknesses, which can introduce real-world security issues that are more visible through code review. The practices of code reviews in identif…

Video Coding with Cross-Component Sample Offset
Han Gao, Xin Zhao, Tianqi Liu, Shan Liu
https://arxiv.org/abs/2406.01795 https://arxi…

Video Coding with Cross-Component Sample Offset
Beyond the exploration of traditional spatial, temporal and subjective visual signal redundancy in image and video compression, recent research has focused on leveraging cross-color component redundancy to enhance coding efficiency. Cross-component coding approaches are motivated by the statistical correlations among different color components, such as those in the Y'CbCr color space, where luma (Y) color component typically exhibits finer details than chroma (Cb/Cr) color components. Inspired …

The #emfcamp talk workshop schedule is looking excellent
https://www.emfcamp.org/schedule/2024
Happy to have a performance proposal accepted, which will feature some "auto live coding" (as in, …

IBM open sources its Granite code models for code generative tasks, trained on 116 programming languages, with models ranging in size from 3B to 34B parameters (Mike Murphy/IBM Research)
https://research.ibm.com/blog/granite-code-models-open-source

IBM’s Granite code model family is going open source
IBM is open sourcing family of Granite code models to make coding as easy as possible — for as many developers as possible.

This https://arxiv.org/abs/2307.15184 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Sparsity aware coding for single photon sensitive vision using Selective Sensing
Optical coding is widely used in computational imaging systems and is a good approach for designing vision systems. However, most coding methods are developed assuming additive Gaussian noise, while modern optical imaging systems are mainly affected by Poisson noise. Previous studies have highlighted the significant differences between these noise models and proposed coding optimization algorithms for image recovery under Poisson noise. They concluded that the compressibility arising from data …

This https://arxiv.org/abs/2401.16417 has been replaced.
link: https://scholar.google.com/scholar?q=a

Channel Coding with Mean and Variance Cost Constraints
We consider channel coding for discrete memoryless channels (DMCs) with a novel cost constraint that constrains both the mean and the variance of the cost of the codewords. We show that the maximum (asymptotically) achievable rate under the new cost formulation is equal to the capacity-cost function; in particular, the strong converse holds. We further characterize the optimal second-order coding rate of these cost-constrained codes; in particular, the optimal second-order coding rate is finite…

IBM open sources its Granite code models for code generative tasks, trained on 116 programming languages, with models ranging in size from 3B to 34B parameters (Mike Murphy/IBM Research)
https://research.ibm.com/blog/granite-code-models-open-source

IBM’s Granite code model family is going open source
IBM is open sourcing family of Granite code models to make coding as easy as possible — for as many developers as possible.

Coding for the unsourced B-channel with erasures: enhancing the linked loop code
William W. Zheng, Jamison R. Ebert, Stefano Rini, Jean-Francois Chamberland
https://arxiv.org/abs/2406.08767

Coding for the unsourced B-channel with erasures: enhancing the linked loop code
In [1], the linked loop code (LLC) is presented as a promising code for the unsourced A-channel with erasures (UACE). The UACE is an unsourced multiple access channel in which active users' transmitted symbols are erased with a given probability and the channel output is obtained as the union of the non-erased symbols. In this paper, we extend the UACE channel model to the unsourced B-channel with erasures (UBCE). The UBCE differs from the UACE in that the channel output is the multiset union, …

If anyone took video clips of my #emfcamp live coding performance on Saturday night I'd be curious to see them!

This https://arxiv.org/abs/2406.04141 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Coding Over Coupon Collector Channels for Combinatorial Motif-Based DNA Storage
Encoding information in combinations of pre-synthesised deoxyribonucleic acid (DNA) strands (referred to as motifs) is an interesting approach to DNA storage that could potentially circumvent the prohibitive costs of nucleotide-by-nucleotide DNA synthesis. Based on our analysis of an empirical data set from HelixWorks, we propose two channel models for this setup (with and without interference) and analyse their fundamental limits. We propose a coding scheme that approaches those limits by leve…

Joint Reference Frame Synthesis and Post Filter Enhancement for Versatile Video Coding
Weijie Bao, Yuantong Zhang, Jianghao Jia, Zhenzhong Chen, Shan Liu
https://arxiv.org/abs/2404.18058 https://arxiv.org/pdf/2404.18058
arXiv:2404.18058v1 Announce Type: new
Abstract: This paper presents the joint reference frame synthesis (RFS) and post-processing filter enhancement (PFE) for Versatile Video Coding (VVC), aiming to explore the combination of different neural network-based video coding (NNVC) tools to better utilize the hierarchical bi-directional coding structure of VVC. Both RFS and PFE utilize the Space-Time Enhancement Network (STENet), which receives two input frames with artifacts and produces two enhanced frames with suppressed artifacts, along with an intermediate synthesized frame. STENet comprises two pipelines, the synthesis pipeline and the enhancement pipeline, tailored for different purposes. During RFS, two reconstructed frames are sent into STENet's synthesis pipeline to synthesize a virtual reference frame, similar to the current to-be-coded frame. The synthesized frame serves as an additional reference frame inserted into the reference picture list (RPL). During PFE, two reconstructed frames are fed into STENet's enhancement pipeline to alleviate their artifacts and distortions, resulting in enhanced frames with reduced artifacts and distortions. To reduce inference complexity, we propose joint inference of RFS and PFE (JISE), achieved through a single execution of STENet. Integrated into the VVC reference software VTM-15.0, RFS, PFE, and JISE are coordinated within a novel Space-Time Enhancement Window (STEW) under Random Access (RA) configuration. The proposed method could achieve -7.34%/-17.21%/-16.65% PSNR-based BD-rate on average for three components under RA configuration.

Coding Over Coupon Collector Channels for Combinatorial Motif-Based DNA Storage
Roman Sokolovskii, Parv Agarwal, Luis Alberto Croquevielle, Zijian Zhou, Thomas Heinis
https://arxiv.org/abs/2406.04141

Coding Over Coupon Collector Channels for Combinatorial Motif-Based DNA Storage
Encoding information in combinations of pre-synthesised deoxyribonucleic acid (DNA) strands (referred to as motifs) is an interesting approach to DNA storage that could potentially circumvent the prohibitive costs of nucleotide-by-nucleotide DNA synthesis. Based on our analysis of an empirical data set from HelixWorks, we propose two channel models for this setup (with and without interference) and analyse their fundamental limits. We propose a coding scheme that approaches those limits by leve…

Mistral AI releases 22B-parameter Codestral, its first generative AI model for coding, trained on 80 programming languages and prohibited for commercial use (Kyle Wiggers/TechCrunch)
https://techcrunch.com/2024/05/29/mistral-releases-its…

Mistral releases Codestral, its first generative AI model for code | TechCrunch
French AI startup Mistral, which has backing from Microsoft, has released its first generative AI model for code, called Codestral.

Robust Image Semantic Coding with Learnable CSI Fusion Masking over MIMO Fading Channels
Bingyan Xie, Yongpeng Wu, Yuxuan Shi, Wenjun Zhang, Shuguang Cui, Merouane Debbah
https://arxiv.org/abs/2406.07389

Robust Image Semantic Coding with Learnable CSI Fusion Masking over MIMO Fading Channels
Though achieving marvelous progress in various scenarios, existing semantic communication frameworks mainly consider single-input single-output Gaussian channels or Rayleigh fading channels, neglecting the widely-used multiple-input multiple-output (MIMO) channels, which hinders the application into practical systems. One common solution to combat MIMO fading is to utilize feedback MIMO channel state information (CSI). In this paper, we incorporate MIMO CSI into system designs from a new perspe…

Mistral AI releases 22B-parameter Codestral, its first generative AI model for coding, trained on 80 programming languages and prohibited for commercial use (Kyle Wiggers/TechCrunch)
https://techcrunch.com/2024/05/29/mistral-releases-its…

Mistral releases Codestral, its first generative AI model for code | TechCrunch
French AI startup Mistral, which has backing from Microsoft, has released its first generative AI model for code, called Codestral.

Leveraging partial stragglers within gradient coding
Aditya Ramamoorthy, Ruoyu Meng, Vrinda S. Girimaji
https://arxiv.org/abs/2405.19509 https://

Leveraging partial stragglers within gradient coding
Within distributed learning, workers typically compute gradients on their assigned dataset chunks and send them to the parameter server (PS), which aggregates them to compute either an exact or approximate version of $\nabla L$ (gradient of the loss function $L$). However, in large-scale clusters, many workers are slower than their promised speed or even failure-prone. A gradient coding solution introduces redundancy within the assignment of chunks to the workers and uses coding theoretic ideas…

AI training data provider Scale AI releases SEAL Leaderboards, which uses private datasets to rank LLMs in domains like coding, instruction following, and math (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2024/05/29/sc…

Scale AI publishes its first LLM Leaderboards, ranking AI model performance in specific domains - SiliconANGLE
Scale AI publishes its first LLM Leaderboards, ranking AI model performance in specific domains - SiliconANGLE

AI training data provider Scale AI releases SEAL Leaderboards, which uses private datasets to rank LLMs in domains like coding, instruction following, and math (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2024/05/29/sc…

Scale AI publishes its first LLM Leaderboards, ranking AI model performance in specific domains - SiliconANGLE
Scale AI publishes its first LLM Leaderboards, ranking AI model performance in specific domains - SiliconANGLE

This https://arxiv.org/abs/2404.01276 has been replaced.
link: https://scholar.google.com/scholar?q=a

Variable-Length Stop-Feedback Coding for Minimum Age of Incorrect Information
The Age of Incorrect Information (AoII) is examined within the context of remote monitoring of a Markov source using variable-length stop-feedback (VLSF) coding. Leveraging recent results on the non-asymptotic channel coding rate, we consider sources with small cardinality, where feedback is non-instantaneous as the transmitted information and feedback message have comparable lengths. We focus on the feedback sequence, i.e. the times of feedback transmissions, and derive AoII-optimal and delay-…

This https://arxiv.org/abs/2401.16643 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Game of Coding: Beyond Trusted Majorities
Coding theory revolves around the incorporation of redundancy into transmitted symbols, computation tasks, and stored data to guard against adversarial manipulation. However, error correction in coding theory is contingent upon a strict trust assumption. In the context of computation and storage, it is required that honest nodes outnumber adversarial ones by a certain margin. However, in several emerging real-world cases, particularly, in decentralized blockchain-oriented applications, such ass…

This https://arxiv.org/abs/2401.16643 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Game of Coding: Beyond Trusted Majorities
Coding theory revolves around the incorporation of redundancy into transmitted symbols, computation tasks, and stored data to guard against adversarial manipulation. However, error correction in coding theory is contingent upon a strict trust assumption. In the context of computation and storage, it is required that honest nodes outnumber adversarial ones by a certain margin. However, in several emerging real-world cases, particularly, in decentralized blockchain-oriented applications, such ass…