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DarkMatterPhysics Informed learning on Real Gravitational Lensing Greetings, everyone! I am very excited to share the progress of my project, “Physics-Guided Machine Learning on Real Lensing Data” for…...<br><br><a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/gravity" target="_blank">#gravity</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/dark-matter" target="_blank">#dark-matter</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/machine-learning" target="_blank">#machine-learning</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/computer-vision" target="_blank">#computer-vision</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/physics" target="_blank">#physics</a><br><br><a href="https://medium.com/@ojhaaashutosh1005/physics-informed-learning-on-real-gravitational-lensing-5bb8f1d8248b?source=rss------machine_learning-5" rel="nofollow noopener" target="_blank">Origin</a> | <a href="https://awakari.com/sub-details.html?id=DarkMatter" rel="nofollow noopener" target="_blank">Interest</a> | <a href="https://awakari.com/pub-msg.html?id=4VcgMXLU2DTnIVjcd0SgHfAA2ts&amp;interestId=DarkMatter" rel="nofollow noopener" target="_blank">Match</a>
RyeLooking for recommendations
Habr 25+<p>Как приручить AI-пиксель-арт</p><p>За последние пару лет генеративные нейросети стали волшебной кисточкой для всего: концепт‑артов, иконок, иллюстраций, обложек, аватаров, спрайтов… Особенно — пиксель‑арта . В Midjourney, Stable Diffusion, Dall‑E, Image-1 и в других моделях можно просто вбить: «Pixel art goose with goggles in the style of SNES» — и получить шикарного пиксельного гуся за 10 секунд. Но если ты пробовал вставить такого гуся в игру — ты уже знаешь боль. Я решил вкопаться в эту тему поглубже и сделать open‑source‑инструмент, который автоматизирует превращение AI‑generated pixel art в pixel‑perfect pixel art.</p><p><a href="https://habr.com/ru/articles/930462/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/930462/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/pixel_art" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pixel_art</span></a> <a href="https://zhub.link/tags/opencv" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opencv</span></a> <a href="https://zhub.link/tags/tools" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tools</span></a> <a href="https://zhub.link/tags/ai_art" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai_art</span></a> <a href="https://zhub.link/tags/computervision" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computervision</span></a> <a href="https://zhub.link/tags/gamedev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gamedev</span></a></p>
Habr<p>Как приручить AI-пиксель-арт</p><p>За последние пару лет генеративные нейросети стали волшебной кисточкой для всего: концепт‑артов, иконок, иллюстраций, обложек, аватаров, спрайтов… Особенно — пиксель‑арта . В Midjourney, Stable Diffusion, Dall‑E, Image-1 и в других моделях можно просто вбить: «Pixel art goose with goggles in the style of SNES» — и получить шикарного пиксельного гуся за 10 секунд. Но если ты пробовал вставить такого гуся в игру — ты уже знаешь боль. Я решил вкопаться в эту тему поглубже и сделать open‑source‑инструмент, который автоматизирует превращение AI‑generated pixel art в pixel‑perfect pixel art.</p><p><a href="https://habr.com/ru/articles/930462/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/930462/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/pixel_art" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pixel_art</span></a> <a href="https://zhub.link/tags/opencv" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opencv</span></a> <a href="https://zhub.link/tags/tools" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tools</span></a> <a href="https://zhub.link/tags/ai_art" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai_art</span></a> <a href="https://zhub.link/tags/computervision" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computervision</span></a> <a href="https://zhub.link/tags/gamedev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gamedev</span></a></p>
Technische Universität München<p>What if <a href="https://wisskomm.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> could see the world like we do? That’s the idea behind <a href="https://wisskomm.social/tags/ComputerVision" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputerVision</span></a>—machines interpreting visual data to navigate, detect, and decide. Our latest <a href="https://wisskomm.social/tags/ScienceGlossary" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScienceGlossary</span></a> entry explains how it works: <a href="http://go.tum.de/312381" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="">go.tum.de/312381</span><span class="invisible"></span></a><br> <br>📷TUM CCC/ R. Heckel, TUM CIT</p>
Virgile Andreani ⏚ 🇵🇸<p>I am transmitting a hiring opportunity for a good friend (<span class="h-card" translate="no"><a href="https://mastodon.social/@jblugagne" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>jblugagne</span></a></span>). I have had the pleasure to know him and work with him for a long time, and warmly encourage interested people to apply. I have worked and am still working a bit on DeLTA myself, so I am biased but I think it's a very nice project :) Boosts appreciated!</p><p>&gt; We are looking for a Senior Python Developer to join our group at the University of Oxford’s Department of Engineering Science. This is a full-time position focused on advancing our open-source computer vision software for quantitative microscopy, DeLTA. There will also be opportunities to explore commercial applications and contribute to potential spin-off efforts.</p><p>&gt; We’re looking for someone with strong Python skills and experience in software release and management. Backgrounds in computer vision, machine learning, or microscopy are a plus.</p><p>&gt; <a href="https://eng.ox.ac.uk/jobs/job-detail/?vacancyID=180768" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">eng.ox.ac.uk/jobs/job-detail/?</span><span class="invisible">vacancyID=180768</span></a></p><p><a href="https://social.sciences.re/tags/FediHire" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FediHire</span></a> <a href="https://social.sciences.re/tags/ScientificComputing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScientificComputing</span></a> <a href="https://social.sciences.re/tags/ImageAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ImageAnalysis</span></a> <a href="https://social.sciences.re/tags/Microscopy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Microscopy</span></a> <a href="https://social.sciences.re/tags/ComputerVision" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputerVision</span></a> <a href="https://social.sciences.re/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://social.sciences.re/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://social.sciences.re/tags/FOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FOSS</span></a> <a href="https://social.sciences.re/tags/Oxford" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Oxford</span></a> <a href="https://social.sciences.re/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a></p>
GrokLLMs Don’t See Images Like You Do: Here’s The Math Large language models like GPT 4o, Llama and Grok combine text and visual information for tasks like image captioning, visual question… Cont...<br><br><a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/large-language-models" target="_blank">#large-language-models</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/computer-vision" target="_blank">#computer-vision</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/attention-mechanism" target="_blank">#attention-mechanism</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/ai" target="_blank">#ai</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/machine-learning" target="_blank">#machine-learning</a><br><br><a href="https://medium.com/@amitkhanna_4249/llms-dont-see-images-like-you-do-here-s-the-math-2d6ed8c7dacf?source=rss------machine_learning-5" rel="nofollow noopener" target="_blank">Origin</a> | <a href="https://awakari.com/sub-details.html?id=Grok" rel="nofollow noopener" target="_blank">Interest</a> | <a href="https://awakari.com/pub-msg.html?id=6jt2s6u2D0lYo0WbnGXTVBy5Ega&amp;interestId=Grok" rel="nofollow noopener" target="_blank">Match</a>

Data Annotation vs Data Labelling- Find the right for you

Key takeaways:

• Understand the core difference between annotation and labeling
• Explore use cases across NLP, computer vision & more
• Learn how each process impacts model training and accuracy

Read now to make smarter data decisions:

hitechbpo.com/blog/data-annota

Google's Gemini Veo3 now turns photos into 8-second videos with audio 🎬 The AI-powered feature includes built-in watermarks for transparency and authenticity ✨ Limited to Pro & Ultra users in select regions. Read the article to learn how it works and who can access it.

#Google #GeminiAI #AIVideo #ArtificialIntelligence #ComputerVision

true-tech.net/gemini-veo3-phot

Gemini Veo3 Feature
TrueTech Technology Magazine · Gemini Veo3 Introduces AI-Powered Photo-to-Video FeatureDiscover how the new Gemini Veo3 feature lets you turn photos into dynamic 8-second AI videos with sound.

Another one of my posts. This one on the topic of AI tools as assistive technology, what's working, what isn't and why, all without the hype that too many people tend to lean into when discussing this technology:

When Independence Meets Uncertainty: My Journey with AI-Powered Vision
A blind user's candid assessment of the promises and pitfalls of current AI accessibility tools
open.substack.com/pub/kaylielf

Kaylie’s Substack · 🤖👁️ From thermostat success to dryer disasters: my honest take on AI vision tools that promise independence but deliver uncertainty. A must-read for anyone curious about the real state of AI accessibility.By Kaylie L. Fox
Unmasking the Deceit: A Comprehensive Deepfake Detection System In an age where digital content floods our screens, discerning what’s real from what’s fabricated has become an increasingly comp...

#aritificial-intelligence #deep-learning #machine-learning #cybersecurity #computer-vision

Origin | Interest | Match
Medium · Unmasking the Deceit: A Comprehensive Deepfake Detection SystemBy NeuralNomad

“The nature of scientific progress is that it sometimes provides powerful tools that can be wielded for good or for ill: splitting the atom and nuclear weapons being a case in point. In such cases, it’s necessary that researchers involved in developing such #technologies participate actively in the ethical and political discussions about the appropriate boundaries for their use. Computer vision is one area in which more voices need to be heard.”

“This study backs up with clear evidence what many have long suspected: that computer-vision research is being used mainly in surveillance-enabling #applications.”

#ArtificialIntelligence / #ComputerVision / #research / #surveillance / #tech <nature.com/articles/d41586-025>

www.nature.comDon’t sleepwalk from computer-vision research into surveillanceThe output of computer-vision research is overwhelmingly aimed towards monitoring humans. The potential ethical implications need more scrutiny.