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@Mediagazer@mstdn.social
2026-04-27 13:35:43

Paris-based Audion, which offers a platform for planning and optimizing ad campaigns for audio, raised a $15M Series B, bringing its total funding to $22.6M (Kerry Flynn/Axios)
axios.com/2026/04/27/audion-au

@thomasfuchs@hachyderm.io
2026-03-24 12:22:12

RE: toot.cat/@plexus/1162830168377
It should also be noted that beyond the ethical, political and environmental issues with this is that it doesn't work:
1. There is on average no mid to long term productivity gain with actual real-world software development that isn't just a "wow see what it can do" demo. (Multiple studies have shown that now.)
2. It won't help with 90% of the work when professionally making software, which, believe it or not, isn't coding. 90% of the work is designing and planning the software (these are things that happen both upfront and during development).
Maybe you have seen the recent Microsoft thing rolling back features in Windows they added?
E.g. Copilot in Notepad. What they did is essentially outsourcing project management to developers who then outsourced it to LLMs. But an LLMs can't plan and design software, and arguably barely can even generate code that works (as in reliable and performant). So now they have a buggy mess with features no one wants and they're rolling it back.
There's no silver bullets in software development.

This summer is shaping up to be an expensive and uncertain time to fly, especially if you’re planning a European vacation.
Volatile fuel prices because of the war in Iran are straining airlines around the globe,
but perhaps nowhere as much as in Europe,
where jet fuel supplies could run low by mid-May.
European airlines like Lufthansa and KLM have announced they are cutting flights,
and others could follow.
Carriers everywhere are increasingly passing cost…

@nfdi4culture@nfdi.social
2026-03-20 14:22:55

🎉Hallo, liebe 4Culture-Community! Unsere Kolleg:innen waren diese Woche (16.–20.03.2026) in Poznań, um an der zweiten ECHOES-Jahresveranstaltung teilzunehmen! Das Treffen brachte alle ECHOES-Partner, Schwesterprojekte und die ECCCH-Community zusammen, um der Europäischen Kommission über den aktuellen Stand,, die bisherigen Ergebnisse und Aktivitäten für die kommenden Monate zu berichten:

QR-Code with the question, how anyone can be part of the Cultural Heritage Cloud at the second ECHOES Annual Event in Poznań (16.–20.03.2026), here in the National Museum.
Graphic Illuminations of the ECHOES logo in the National Museum at the second ECHOES Annual Event in Poznań (16.–20.03.2026).
@arXiv_csPF_bot@mastoxiv.page
2026-03-24 07:38:32

Democratizing AI: A Comparative Study in Deep Learning Efficiency and Future Trends in Computational Processing
Lisan Al Amin, Md Ismail Hossain, Rupak Kumar Das, Mahbubul Islam, Saddam Mukta, Abdulaziz Tabbakh
arxiv.org/abs/2603.20920 arxiv.org/pdf/2603.20920 arxiv.org/html/2603.20920
arXiv:2603.20920v1 Announce Type: new
Abstract: The exponential growth in data has intensified the demand for computational power to train large-scale deep learning models. However, the rapid growth in model size and complexity raises concerns about equal and fair access to computational resources, particularly under increasing energy and infrastructure constraints. GPUs have emerged as essential for accelerating such workloads. This study benchmarks four deep learning models (Conv6, VGG16, ResNet18, CycleGAN) using TensorFlow and PyTorch on Intel Xeon CPUs and NVIDIA Tesla T4 GPUs. Our experiments demonstrate that, on average, GPU training achieves speedups ranging from 11x to 246x depending on model complexity, with lightweight models (Conv6) showing the highest acceleration (246x), mid-sized models (VGG16, ResNet18) achieving 51-116x speedups, and complex generative models (CycleGAN) reaching 11x improvements compared to CPU training. Additionally, in our PyTorch vs. TensorFlow comparison, we observed that TensorFlow's kernel-fusion optimizations reduce inference latency by approximately 15%. We also analyze GPU memory usage trends and projecting requirements through 2025 using polynomial regression. Our findings highlight that while GPUs are essential for sustaining AI's growth, democratized and shared access to GPU resources is critical for enabling research innovation across institutions with limited computational budgets.
toXiv_bot_toot

@arXiv_mathOA_bot@mastoxiv.page
2026-03-24 08:13:37

Polynomials in $c$-free random variables with applications to free denoising
Adrian Celestino, Franz Lehner, Kamil Szpojankowski
arxiv.org/abs/2603.21372 arxiv.org/pdf/2603.21372 arxiv.org/html/2603.21372
arXiv:2603.21372v1 Announce Type: new
Abstract: We study distributions of polynomials in conditionally free (c-free) random variables, a notion of independence for two-state noncommutative probability spaces introduced by Bozejko, Leinert and Speicher. To this end we establish recursive relations between the joint Boolean cumulants of c-free random variables, analogous to previously found recursions for Boolean cumulants of free random variables. The algebraic reformulation of these recursions on the free associative algebra provides an effective formal machinery for the computation of the moment generating functions and thus the distributions of arbitrary self-adjoint polynomials in c-free random variables. As an application of a recent observation, our approach can be used to determine conditional expectations of the form $E[a|P(a,b)]$, where $P(a,b)$ is a self-adjoint polynomial in free (in the sense of Voiculescu) random variables $a,b$. We illustrate this with an example where $P(a,b)=i[a,b]$. Finally we define orthogonal projections that formally play the role of conditional expectations in the framework of c-freeness and share some properties with the conditional expectations of free variables. In particular they can be used to re-derive by purely algebraic methods the formula of Popa and Wang for the $\Sigma$-transform for the c-free multiplicative convolution.
toXiv_bot_toot

@heiseonline@social.heise.de
2026-03-06 12:52:00

Luma: KI-Agenten für kreative Projekte von Audio über Video bis Print
Die Web-App Luma erstellt Audio-, Bild- und Videoprojekte mithilfe von KI-Agenten – vom Brainstorming über die Planung bis hin zur Auslieferung.

@khalidabuhakmeh@mastodon.social
2026-04-16 18:29:34

This quote from Intuit about Anthropic Claude Opus 4.7 is amazing for its non-committal tone. The tap-dancing in this single quote would make Fred Astaire jealous. 😅

In early testing, we're seeing the potential for
a significant leap for our developers with
Claude Opus 4.7. It catches its own logical
faults during the planning phase and
accelerates execution, far beyond previous
Claude models. As a financial technology
platform serving millions of consumers and
businesses at significant scale, this
combination of speed and precision could be
game-changing: accelerating development
velocity for faster delivery of the trusted
financial solutions our customers…
@der_raddler@dresden.network
2026-03-12 06:10:35

Radfahrende auf Autobahnen: Verboten!
Fußgänger auf Radschnellwegen (aka "Fahrrad Autobahnen"): kein Problem!
🤦
web.archive.org/web/2026031117

@heiseonline@social.heise.de
2026-04-02 05:15:35

Noch ein paar der zuletzt hier besonders häufig geteilten #News:
Bund veröffentlicht lizenzfreie KI-Werkzeuge