Ants vs. Humans Are you a team player or prefer working solo? Prof. Ofer Feinerman and his team at the Weizmann Institute of Science, conducted research to understand how ants and humans, two highly social creatures, work together in groups. Participants were given a large T-shaped object that they had to maneuver across a rectangular space divided into three chambers connected by two narrow slits. The ants tackled the maze challenge in three combinations: a single ant, a small group of about seven ants and a large group of about 80. Humans handled the task in three parallel combinations: a single person, a small group of six to nine individuals and a large group of 26. Read the rest of the article to see who is better at tackling a maze more efficiently in a group- ants or humans? Article>>> https://lnkd.in/dyBFD3Fw Video >>>https://lnkd.in/dq6wr3hg Original photo by Canva AI
European Committee of the Weizmann Institute of Science’s Post
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In June, Mike Knoop, Zapier's co-founder, started the ARC Prize - a $1M competition towards AGI progress. When you solve a puzzle, you're using your brain to figure out something new. With the competition, Mike and his team are trying to figure out if AI can do the same thing. The puzzles are different each time, and the goal is to see if AI can figure out how to solve them efficiently and learn new skills on its own. Unique training and evaluation tasks are presented as grids with different colours. Each task requires creating a correct output grid based on input examples. For the AI, this requires core knowledge humans naturally have, such as object permanence, goal-directed behaviour, basic math, and geometry, to provide a fair comparison between AI and human intelligence. ARC-AGI was introduced back in 2019, with the hypothesis that it couldn't easily be beaten. And this was supported when in 2020, during the first competition, the winning team achieved only a 21% success rate. In comparison, humans can solve 84% of ARC-AGI tasks on average. Since then, the competition has seen increased participation, and with the introduction of a $1 Million prize pool, this is set to increase. The opportunity is massive because if they succeed, this could potentially change how we use technology in the future. What do you think about this competition? #marketing #ai #technology #competition
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🎉 Updated Self-Intro Slides! 🎉 I'm thrilled to share self-introduction slides in January 2025, highlighting: 📈 Most-cited work: Spatiotemporal 3D ResNet (2.4k+ citations; 3.9k stars on GitHub) 🔬 Most-active Projects: FDSL (Formula-generated Foundation Data/Models; ACCV Award & BMVC Award Finalist; Featured in MIT Tech Review) 🎯 Current Focus: LIMIT (Building AI with Very Limited Resources) 🌍 Academic & Industry Contributions Slide here: https://lnkd.in/gMbeNPBb Feel free to contact me! (e.g., Job offer, collaboration, mentoring, invited talks) #AI #MachineLearning #FoundationModels #ComputerVision
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AI: Answering the worlds most important questions. Thanks You.com. Estimating Ant Capacity in Pants The number of ants you could fit in your pants depends on several factors, including the type of pants, their size, and the size of the ants themselves. However, we can make a general estimation! 1. Average Size of Ants: Most ants are about 0.08 to 2 inches long, depending on the species. 2. Volume of Pants: Assuming you have a pair of standard-sized pants, the volume of the pant legs might be around 1 to 2 liters. Given that there are approximately 1 million ants in 1 liter of space (based on average ant sizes), you could potentially fit 1 to 2 million ants in your pants! Important Considerations - Comfort: While theoretically possible, fitting this many ants in your pants would be extremely uncomfortable and impractical! - Species Variation: Different species of ants vary in size, which would affect how many could fit. In conclusion, while you might be able to fit 1 to 2 million ants in your pants theoretically, it's best to keep the ants outside where they belong!
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😅For the last 9 months, I've been working hard on building a digital second brain with Obsidian Notes. - Obsidian is a markdown-based tool (I write everything in MD code), that enables seamless note-taking. ⚡ I've drawn inspiration from Joseph Rosembaum (Synaptic Labs), Brian Roemmelle and Stan Gerard (Quivr AI), to name a few. 🤖 #QuivrAI was key in my thesis development, enhancing my ability to structure and analyze complex data, and it was Quivr that got me down the path of thinking about a digital brain framework* 🧠Along with using MD code, #Obsidian utilizes "Nodes and Connections" that help in Visualizing information links. There are also plugins to enhance functionality (#RAG #LLM capabilities and more). Give it a try!!💫 #SecondBrain #DigitalBrain #ObsidianNotes #Markdown #Professorsynapse #AI #Energy #OilandGas
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As a PhD professor, streamline your grant hunting process with AI-powered tools! 🎓🤖 AI chatbots can help you track grant opportunities, manage applications, and even provide real-time updates on deadlines and requirements. By automating these tasks, you can focus more on your research while ensuring no opportunity is missed. Let’s simplify the process of securing funding and take your research to new heights! #PhDProfessor #GrantHunting #AIChatbot #ResearchFunding #AcademicSuccess
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💥💥💥 Flow Matching Guide and Code Yaron Lipman, Marton Havasi, Peter Holderrieth, Neta Shaul, Matt Le, Brian Karrer, Ricky T. Q. Chen, David Lopez-Paz, Heli Ben-Hamu, Itai Gat Abstract Flow Matching (FM) is a recent framework for generative modeling that has achieved state-of-the-art performance across various domains, including image, video, audio, speech, and biological structures. This guide offers a comprehensive and self-contained review of FM, covering its mathematical foundations, design choices, and extensions. By also providing a PyTorch package featuring relevant examples (e.g., image and text generation), this work aims to serve as a resource for both novice and experienced researchers interested in understanding, applying and further developing FM. 👉 https://lnkd.in/eMjU98me #machinelearning
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Digital Art I’ve recently been exploring the fascinating world of digital art and wanted to share my journey with you to gather your thoughts and feedback. This exploration has led me to experiment with two distinct methods of art generation that I find particularly captivating: 1️⃣ AI-Powered Creative Pipelines: Here, I use artificial intelligence to transform ideas into final videos, leveraging the potential of AI to handle the entire pipeline—from conceptualization to realization. It’s an exciting blend of storytelling and automation that makes me think about the future of creative expression. -The beginning of infinity: https://lnkd.in/e8eP-Zqe -Existence Precedes Essence: https://lnkd.in/eqYwbYCK -Technology is the Answer , What was the question?: https://lnkd.in/ePyHGJZn 2️⃣ Mathematics and Geometry in Art: This approach involves generating fractal art through intricate algorithms and precise geometry. It’s a meditative process that combines the logic of mathematics with the beauty of visual design. -Fractal Wonders: A Journey into Infinite Art https://lnkd.in/eGa5qawb -100.000 Iterations of a fractal https://lnkd.in/eNSWfyG3 -Math is beautiful. ✨ https://lnkd.in/eU87cwQS To give you a glimpse, I’ve included three examples from each category below. I’d love to hear your thoughts—what resonates with you, and where do you see room for improvement? Let me know your feedback in the comments. Let’s spark a conversation about the intersection of art, technology, and creativity! Looking forward to your insights. 🌟 #DigitalArt #AI #FractalArt #Creativity #Feedback
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