Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Spatial optimization has applications in nearly every field but it's underutilized. In 2026, I'm working on open source and lightning-fast tools to make spatial optimization accessible. Shown: interactively solving a "location-allocation" problem in an app with instant results.

Kyle Walker

19,147 subscribers

28,495 Aufrufe • vor 8 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Almost 16 months in the making, I'm finally at a point where I'm calling this good to go on the App Store. It's been my privilege to share the journey with you all, here's to the cool things still to come. Spatial is now available at

Almost 16 months in the making, I'm finally at a point where I'm calling this good to go on the App Store. It's been my privilege to share the journey with you all, here's to the cool things still to come. Spatial is now available at

Tobias Renström

107,137 Aufrufe • vor 5 Monaten

We're excited to share what we've been working on - the TrueVote app in action! TrueVote is not just an app; it's a commitment to transparency. Built on Bitcoin, Opentimestamps, and Nostr, our open-source platform ensures tamper-proof ballot data. 🧵

We're excited to share what we've been working on - the TrueVote app in action! TrueVote is not just an app; it's a commitment to transparency. Built on Bitcoin, Opentimestamps, and Nostr, our open-source platform ensures tamper-proof ballot data. 🧵

TrueVote

233,326 Aufrufe • vor 2 Jahren

Excited to share our latest work on 🎧spatial audio-driven human motion generation. We aim to tackle a largely underexplored yet important problem of enabling virtual humans to move naturally in response to spatial audio—capturing not just what is heard, but also where the sound is coming from. To this end, we introduce the Spatial Audio-Driven Human Motion (SAM) dataset—the first comprehensive dataset featuring paired high-quality human motion and spatial audio recordings. For benchmarking, we develop a generative framework for human MOtion generation driven by SPAtial audio, termed MOSPA, which learns to synthesize realistic and diverse human motions conditioned on spatial audio input. We hope this research could provide a foundation for future research in spatial perception, virtual characters, and embodied AI. The dataset and model will be open-sourced soon. A big thank you to our intern, Shuyang Xu, for the wonderful collaboration! Congratulations, Shuyang! Project page: Paper: Video: #Animation #CG #CV #AIGC #DL #Deeplearning #Motion #Graphics #AI #GenerativeAI

Excited to share our latest work on 🎧spatial audio-driven human motion generation. We aim to tackle a largely underexplored yet important problem of enabling virtual humans to move naturally in response to spatial audio—capturing not just what is heard, but also where the sound is coming from. To this end, we introduce the Spatial Audio-Driven Human Motion (SAM) dataset—the first comprehensive dataset featuring paired high-quality human motion and spatial audio recordings. For benchmarking, we develop a generative framework for human MOtion generation driven by SPAtial audio, termed MOSPA, which learns to synthesize realistic and diverse human motions conditioned on spatial audio input. We hope this research could provide a foundation for future research in spatial perception, virtual characters, and embodied AI. The dataset and model will be open-sourced soon. A big thank you to our intern, Shuyang Xu, for the wonderful collaboration! Congratulations, Shuyang! Project page: Paper: Video: #Animation #CG #CV #AIGC #DL #Deeplearning #Motion #Graphics #AI #GenerativeAI

Zhiyang (Frank) Dou

14,683 Aufrufe • vor 1 Jahr

1.7× faster inverse kinematics in pure Python, GPU-accelerated! Fully open-source and built for scale [📍Bookmark for later] PyRoki, a modular toolkit for robot kinematic optimization, supporting - inverse kinematics - trajectory optimization, and - motion retargeting. Built for flexibility, but also fast: ✅ Runs on CPU, GPU, and TPU ✅ Outperforms cuRobo in speed, success rate, and accuracy ✅ Fully in Python, easy to integrate and extend Whether you’re working with industrial arms, simulation environments, or humanoids, PyRoki is designed to fit your stack and scale with your hardware. Thank you, Chung Min Kim, for sharing!! Website: Code: Paper: This one’s for researchers, builders, and anyone tired of debugging their IK stack.

1.7× faster inverse kinematics in pure Python, GPU-accelerated! Fully open-source and built for scale [📍Bookmark for later] PyRoki, a modular toolkit for robot kinematic optimization, supporting - inverse kinematics - trajectory optimization, and - motion retargeting. Built for flexibility, but also fast: ✅ Runs on CPU, GPU, and TPU ✅ Outperforms cuRobo in speed, success rate, and accuracy ✅ Fully in Python, easy to integrate and extend Whether you’re working with industrial arms, simulation environments, or humanoids, PyRoki is designed to fit your stack and scale with your hardware. Thank you, Chung Min Kim, for sharing!! Website: Code: Paper: This one’s for researchers, builders, and anyone tired of debugging their IK stack.

Ilir Aliu

18,641 Aufrufe • vor 1 Jahr

Introducing ALE-Bench, ALE-Agent! Towards Automating Long-Horizon Algorithm Engineering for Hard Optimization Problems Blog: Paper: ALE-Bench is a coding benchmark primarily focused on hard optimization (NP-hard) problems. We developed this benchmark with AtCoder Inc., a leading coding contest platform company. What makes ALE-Bench unique is its focus on hard optimization problems that demand long-horizon and creative reasoning. It’s open-ended, in the sense that true optima are out of reach (NP-hard) and scores can continuously improve. We believe this benchmark has the potential to become one of the key benchmarks for reasoning and coding in the next generation. ALE-Agent is our end-to-end agent that we specifically designed for this challenging domain. In fact, our ALE-Agent has already built an impressive track record in the wild! In May 2025, our agent participated in a live AtCoder Heuristic Competition (AHC), alongside 1,000 other participants in real-time. AHC is considered to be one of the most challenging coding competitions in this domain. Our ALE-Agent achieved an impressive ranking of 21st out of 1,000 human participants in the competition (top 2%), marking a turning point for AI discovery of solutions to hard optimization problems with a wide spectrum of important real world applications such as logistics, routing, packing, factory production planning, power-grid balancing. We look forward to applying this technology to real industrial optimization opportunities. Building on the insights from this study, Sakana AI will continue to tackle the challenge of developing AI with even greater algorithm engineering capabilities. ALE-Bench Dataset: ALE-Bench Code: This research was conducted in collaboration with AtCoder Inc. (AtCoder). We are deeply grateful for their outstanding expertise and contributions in optimization and algorithms, which were invaluable in providing data, analyzing results, and enabling our AI agent’s participation in their contests.

Introducing ALE-Bench, ALE-Agent! Towards Automating Long-Horizon Algorithm Engineering for Hard Optimization Problems Blog: Paper: ALE-Bench is a coding benchmark primarily focused on hard optimization (NP-hard) problems. We developed this benchmark with AtCoder Inc., a leading coding contest platform company. What makes ALE-Bench unique is its focus on hard optimization problems that demand long-horizon and creative reasoning. It’s open-ended, in the sense that true optima are out of reach (NP-hard) and scores can continuously improve. We believe this benchmark has the potential to become one of the key benchmarks for reasoning and coding in the next generation. ALE-Agent is our end-to-end agent that we specifically designed for this challenging domain. In fact, our ALE-Agent has already built an impressive track record in the wild! In May 2025, our agent participated in a live AtCoder Heuristic Competition (AHC), alongside 1,000 other participants in real-time. AHC is considered to be one of the most challenging coding competitions in this domain. Our ALE-Agent achieved an impressive ranking of 21st out of 1,000 human participants in the competition (top 2%), marking a turning point for AI discovery of solutions to hard optimization problems with a wide spectrum of important real world applications such as logistics, routing, packing, factory production planning, power-grid balancing. We look forward to applying this technology to real industrial optimization opportunities. Building on the insights from this study, Sakana AI will continue to tackle the challenge of developing AI with even greater algorithm engineering capabilities. ALE-Bench Dataset: ALE-Bench Code: This research was conducted in collaboration with AtCoder Inc. (AtCoder). We are deeply grateful for their outstanding expertise and contributions in optimization and algorithms, which were invaluable in providing data, analyzing results, and enabling our AI agent’s participation in their contests.

Sakana AI

237,195 Aufrufe • vor 1 Jahr

As a first step, we are launching NaijaCivicTech, an open source platform where Nigerian in tech curate and build tiny tools that solve specific Nigerian problems together this is not a startup, not a pitch deck, just working software in the open, built for Nigeria for ease. The current goal is to achieve two things: 1. Community to curate all existing tools that have attempted to solve a problem but are not well known. 2. Community to suggest problems, tools and project that solves a specific problem It's day 1, let's see how far we can go.

As a first step, we are launching NaijaCivicTech, an open source platform where Nigerian in tech curate and build tiny tools that solve specific Nigerian problems together this is not a startup, not a pitch deck, just working software in the open, built for Nigeria for ease. The current goal is to achieve two things: 1. Community to curate all existing tools that have attempted to solve a problem but are not well known. 2. Community to suggest problems, tools and project that solves a specific problem It's day 1, let's see how far we can go.

Uncle BigBay

33,973 Aufrufe • vor 5 Monaten

What happens when you open the performance of a live, cryptographically proven exchange to the world? Today, Eigen Labs and Lighter are launching an open autoresearch challenge for agents and humans to make Lighter’s production exchange faster, with 15K LIT (~$30k) in prizes. Point your agent at the prover. Find an optimization. Submit a verified speedup. Make a live exchange faster.

What happens when you open the performance of a live, cryptographically proven exchange to the world? Today, Eigen Labs and Lighter are launching an open autoresearch challenge for agents and humans to make Lighter’s production exchange faster, with 15K LIT (~$30k) in prizes. Point your agent at the prover. Find an optimization. Submit a verified speedup. Make a live exchange faster.

Eigen Labs

73,243 Aufrufe • vor 1 Monat

PantheonOS allows any biologist to perform complex data analyses of emerging single cell, multi-omics and spatial transcriptomics datasets end to end through AI agent and human collaboration. We are releasing six replays of use cases trajectories. Each "trajectory" is a complete end-to-end run, from prompt to analysis, to figures, and finally to report, and in fully inspectable and reproducible manner. See the six user cases in our PantheonOS Gallery: 1. 3D mouse embryo analysis: Tangram deconvolution and PyVista-based 3D visualization of E6 mouse embryo spatial transcriptomics data 2. 3D human fetal heart analysis: Spatial mapping of heart disease gene patterns using MERFISH data 3. Multi-omics spatial integration: Single cell multi-omics-to-spatial mapping with MOSCOT optimal transport 4. Gene panel design: 1000-plex immune-oncology MERFISH gene panel optimization 5. Cell segmentation benchmarking: Comparative evaluation of Cellpose-SAM, InstanSeg, StarDist, and other tools 6. Spatial disease biology: Ligand–receptor analysis of disease-associated tissue microenvironments We would love to hear how you can use PantheonOS for your research! Got an interesting agent run of your own and want to share? In the Pantheon UI, click Export Bundle (top-right of any chat) to package the full trajectory — chat history, code, figures, report — then submit it here:

PantheonOS allows any biologist to perform complex data analyses of emerging single cell, multi-omics and spatial transcriptomics datasets end to end through AI agent and human collaboration. We are releasing six replays of use cases trajectories. Each "trajectory" is a complete end-to-end run, from prompt to analysis, to figures, and finally to report, and in fully inspectable and reproducible manner. See the six user cases in our PantheonOS Gallery: 1. 3D mouse embryo analysis: Tangram deconvolution and PyVista-based 3D visualization of E6 mouse embryo spatial transcriptomics data 2. 3D human fetal heart analysis: Spatial mapping of heart disease gene patterns using MERFISH data 3. Multi-omics spatial integration: Single cell multi-omics-to-spatial mapping with MOSCOT optimal transport 4. Gene panel design: 1000-plex immune-oncology MERFISH gene panel optimization 5. Cell segmentation benchmarking: Comparative evaluation of Cellpose-SAM, InstanSeg, StarDist, and other tools 6. Spatial disease biology: Ligand–receptor analysis of disease-associated tissue microenvironments We would love to hear how you can use PantheonOS for your research! Got an interesting agent run of your own and want to share? In the Pantheon UI, click Export Bundle (top-right of any chat) to package the full trajectory — chat history, code, figures, report — then submit it here:

evo-devo

13,429 Aufrufe • vor 4 Monaten

Charlie Munger on Problem Solving: “I have a pile on my desk that solves most of my problems. It's called the “Too Hard Pile.” "Every once in a while, an easy decision comes along and I make it, everything else goes to the Too Hard Pile.”

Charlie Munger on Problem Solving: “I have a pile on my desk that solves most of my problems. It's called the “Too Hard Pile.” "Every once in a while, an easy decision comes along and I make it, everything else goes to the Too Hard Pile.”

Ronit Pereira

40,119 Aufrufe • vor 4 Monaten

Working on an open source app to help you manage your personal finances! It takes in a bank statement and gives you a breakdown of your spending, insights, and categories. Powered by Together AI.

Working on an open source app to help you manage your personal finances! It takes in a bank statement and gives you a breakdown of your spending, insights, and categories. Powered by Together AI.

Hassan

28,579 Aufrufe • vor 11 Monaten

NHLaucher: a customizable component of NetHunter that provides feeling of desktop Kali running on Android with over 250 tools NHLauncher is an open-source app that makes it easier and faster to launch pentesting tools. It uses #NetHunter bridge for launching tools in terminal. All the commands are editable #KaliLinux

NHLaucher: a customizable component of NetHunter that provides feeling of desktop Kali running on Android with over 250 tools NHLauncher is an open-source app that makes it easier and faster to launch pentesting tools. It uses #NetHunter bridge for launching tools in terminal. All the commands are editable #KaliLinux

Mobile Hacker

89,669 Aufrufe • vor 2 Jahren

Excited to share a glimpse of my first app with SwiftUI 😌. I've built from scratch a user-friendly ios app, empowering users to explore and examine the wide range of available tools in a farm tools store. It's been an incredible journey, and I'm thrilled to showcase the result✨

Excited to share a glimpse of my first app with SwiftUI 😌. I've built from scratch a user-friendly ios app, empowering users to explore and examine the wide range of available tools in a farm tools store. It's been an incredible journey, and I'm thrilled to showcase the result✨

𝐁𝐨𝐝𝐦𝐚𝐧𝐮𝐞𝐥(❖,❖)

15,373 Aufrufe • vor 3 Jahren

For physical training has limited benefit, but godliness is beneficial in every way, since it holds promise for the present life and also for the life to come. - 1 Timothy 4:8. Go workout — it’s good for your body and mind. But also make sure you’re “working out” in godliness. I see a lot online about “optimization,” if you went to the gym but didn’t read your Bible and pray today you’re grossly imbalanced and unoptimized.

For physical training has limited benefit, but godliness is beneficial in every way, since it holds promise for the present life and also for the life to come. - 1 Timothy 4:8. Go workout — it’s good for your body and mind. But also make sure you’re “working out” in godliness. I see a lot online about “optimization,” if you went to the gym but didn’t read your Bible and pray today you’re grossly imbalanced and unoptimized.

Wes Huff

72,508 Aufrufe • vor 17 Tagen

Modular has acquired BentoML! 🤝 10K+ orgs use BentoML for production AI, including 50+ Fortune 500 companies. We're pairing their deployment platform with MAX + Mojo's hardware optimization. BentoML stays open source (Apache 2.0), and we’re doubling down on OSS in 2026. Ask BentoML founder Chaoyu Yang and Chris Lattner anything on Feb 17 at 9:30am PT. Get all the details:

Modular has acquired BentoML! 🤝 10K+ orgs use BentoML for production AI, including 50+ Fortune 500 companies. We're pairing their deployment platform with MAX + Mojo's hardware optimization. BentoML stays open source (Apache 2.0), and we’re doubling down on OSS in 2026. Ask BentoML founder Chaoyu Yang and Chris Lattner anything on Feb 17 at 9:30am PT. Get all the details:

Modular

28,702 Aufrufe • vor 7 Monaten

Now all you need to make tactile sensors is a 3D printer, magnets, and magnetometers! [📍It’s open source!] A new tactile sensor, called e-Flesh, with a simple working principle… measure deformations in 3D printable microstructures. Since e-Flesh is 3D printable, you can make it in all shapes and sizes for applications ranging from foot fall sensing to multifingered hands. This is critical in getting touch not just on fingertips, but all around robots. eFlesh can democratize touch sensing with open-sourced❗️ Make your own: Paper:

Now all you need to make tactile sensors is a 3D printer, magnets, and magnetometers! [📍It’s open source!] A new tactile sensor, called e-Flesh, with a simple working principle… measure deformations in 3D printable microstructures. Since e-Flesh is 3D printable, you can make it in all shapes and sizes for applications ranging from foot fall sensing to multifingered hands. This is critical in getting touch not just on fingertips, but all around robots. eFlesh can democratize touch sensing with open-sourced❗️ Make your own: Paper:

Ilir Aliu

154,953 Aufrufe • vor 7 Monaten

🚀 GeoLibre just passed 5,000 stars on GitHub, in only two months! GeoLibre went public on May 27, and the community has already pushed it past 5,100 stars and 500+ forks. Thank you to everyone who starred, forked, filed issues, opened pull requests, and shared the project. For those just discovering it: GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. Key features of GeoLibre: - Runs anywhere: the same app ships as a native desktop app, a browser web app, a native Android app, and a Jupyter widget. - Local and private by default: load and analyze GeoJSON, GeoParquet, GeoPackage, Shapefile, COG, LiDAR, 3D Tiles, and more, right in the browser. - Powered by open source: built on MapLibre GL JS, DuckDB-WASM Spatial, Tauri, React, and TypeScript. - Spatial SQL in the browser: query your data with DuckDB Spatial, PostGIS via PGlite, and Apache Sedona. - Extensible: a growing plugin system for cloud data, federal web services, and custom tools. - Supports 12 planetary basemaps: Earth, Mars, the Moon, Mercury, Venus, and more. Two months in, we have already shipped 25 releases, the latest being v2.4.0. There is a lot more to come, and the best way to shape it is to jump in. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: If GeoLibre is useful to you, a star on GitHub and a share here go a long way. Thank you for an incredible first two months. #geospatial #opensource #MapLibre #GeoLibre

🚀 GeoLibre just passed 5,000 stars on GitHub, in only two months! GeoLibre went public on May 27, and the community has already pushed it past 5,100 stars and 500+ forks. Thank you to everyone who starred, forked, filed issues, opened pull requests, and shared the project. For those just discovering it: GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. Key features of GeoLibre: - Runs anywhere: the same app ships as a native desktop app, a browser web app, a native Android app, and a Jupyter widget. - Local and private by default: load and analyze GeoJSON, GeoParquet, GeoPackage, Shapefile, COG, LiDAR, 3D Tiles, and more, right in the browser. - Powered by open source: built on MapLibre GL JS, DuckDB-WASM Spatial, Tauri, React, and TypeScript. - Spatial SQL in the browser: query your data with DuckDB Spatial, PostGIS via PGlite, and Apache Sedona. - Extensible: a growing plugin system for cloud data, federal web services, and custom tools. - Supports 12 planetary basemaps: Earth, Mars, the Moon, Mercury, Venus, and more. Two months in, we have already shipped 25 releases, the latest being v2.4.0. There is a lot more to come, and the best way to shape it is to jump in. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: If GeoLibre is useful to you, a star on GitHub and a share here go a long way. Thank you for an incredible first two months. #geospatial #opensource #MapLibre #GeoLibre

Qiusheng Wu

94,705 Aufrufe • vor 1 Monat

This is insane!🔥 This is a 720p (2D) video I shot of my kids 15 years ago! I used AI to upscale it, depth-map it, & used the depth map to convert it to 3D SBS, & then converted that to Spatial Video for Apple Vision Pro (MV-HEVC). My son is currently a senior in high school, and my daughter is a sophomore in college. This video has complete spatial depth when viewed in the Apple Vision Pro. Obviously, you can't appreciate that via this post. But it's like I'm there & I can see into this room. Talk about giving you the feels.🥹 This can be done with ANY video. 🤯 I'm working on refining the workflow, as it's a bit cumbersome. I plan to share it, but holy cow! I had to post this.

This is insane!🔥 This is a 720p (2D) video I shot of my kids 15 years ago! I used AI to upscale it, depth-map it, & used the depth map to convert it to 3D SBS, & then converted that to Spatial Video for Apple Vision Pro (MV-HEVC). My son is currently a senior in high school, and my daughter is a sophomore in college. This video has complete spatial depth when viewed in the Apple Vision Pro. Obviously, you can't appreciate that via this post. But it's like I'm there & I can see into this room. Talk about giving you the feels.🥹 This can be done with ANY video. 🤯 I'm working on refining the workflow, as it's a bit cumbersome. I plan to share it, but holy cow! I had to post this.

Blaine Brown

1,468,829 Aufrufe • vor 2 Jahren

AkashChat has a brand new look. · An updated, modern interface. · Ultra-fast and responsive. · Access to 8 of the leading open-source AI models. Still completely free to use, with no sign-in required.

Akash Network

33,720 Aufrufe • vor 1 Jahr

We're thrilled to announce that Hyperbolic has secured $20M in total funding with our Series A, led by Variant and Polychain Capital, to advance our mission of building verifiable, high-performance AI through an open, accessible ecosystem—making AI tools and services like compute and inference more affordable than ever. In this “AI Rainforest,” the future of AI is open, accessible, and thriving. Take your ideas Hyperbolic🌪️ at

We're thrilled to announce that Hyperbolic has secured $20M in total funding with our Series A, led by Variant and Polychain Capital, to advance our mission of building verifiable, high-performance AI through an open, accessible ecosystem—making AI tools and services like compute and inference more affordable than ever. In this “AI Rainforest,” the future of AI is open, accessible, and thriving. Take your ideas Hyperbolic🌪️ at

Hyperbolic

4,471,613 Aufrufe • vor 1 Jahr