Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

We are live and kicking! For our latest project 1 dataset 100 visualizations, we challenged ourselves to turn one simple dataset into 100 insightful and visually appealing data visualizations. Explore all of the #dataviz and stories on

ferdio

1,327 subscribers

20,337 views • 3 years ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

1 Comments

Mohamed Ismail3 years ago

Awesome

Related Videos

Microsoft has launched a powerful new data analysis tool! Introducing Data Formulator, a 100% open-source LLM-powered, no-code tool that transforms data in a snap and creates stunning visualizations. Key features include: 🤖 AI-powered data transformation 🖱️ Interactive drag-and-drop UI for visualizations 💬 Seamless blend of UI & natural language inputs But that’s not all: You can even create charts beyond your initial dataset. Data Formulator automatically identifies extra computation needs, generates fields for you, and outputs the final visualization. Find the GitHub repo in the next tweet! _____ Find me → Akshay 🚀 ✔️ For more insights and tutorials on AI and Machine Learning.

Microsoft has launched a powerful new data analysis tool! Introducing Data Formulator, a 100% open-source LLM-powered, no-code tool that transforms data in a snap and creates stunning visualizations. Key features include: 🤖 AI-powered data transformation 🖱️ Interactive drag-and-drop UI for visualizations 💬 Seamless blend of UI & natural language inputs But that’s not all: You can even create charts beyond your initial dataset. Data Formulator automatically identifies extra computation needs, generates fields for you, and outputs the final visualization. Find the GitHub repo in the next tweet! _____ Find me → Akshay 🚀 ✔️ For more insights and tutorials on AI and Machine Learning.

Akshay 🚀

280,679 views • 1 year ago

Want to learn probability & statistics visually? Check out Seeing Theory an interactive, browser‑based guide made to turn abstract concepts into intuitive visuals Explore basics like chance events, probability distributions, Bayesian inference & regression with interactive visualizations perfect for students, self‑learners, and data enthusiasts!

Want to learn probability & statistics visually? Check out Seeing Theory an interactive, browser‑based guide made to turn abstract concepts into intuitive visuals Explore basics like chance events, probability distributions, Bayesian inference & regression with interactive visualizations perfect for students, self‑learners, and data enthusiasts!

Vaishnavi

35,353 views • 7 months ago

Introducing Axis Dataset V1 - the simulation dataset for scalable robot manipulation. Can noisy, crowdsourced simulation data support embodied pretraining? Yes—with enough coverage and diversity. Continual pretraining on AXIS dataset V1 lifts π0.5 from 83.9% to 88.8% on LIBERO-Plus, with performance improving consistently as the pretraining data scales from 25% to 100% of the full dataset, showing no clear saturation. Built with researchers from Georgia Tech UC Berkeley Texas A&M University Johns Hopkins University Penn University of Michigan NUS NTU Singapore. ➡️Related links: Paper: Dataset: Project Page: GitHub Codebase:

Introducing Axis Dataset V1 - the simulation dataset for scalable robot manipulation. Can noisy, crowdsourced simulation data support embodied pretraining? Yes—with enough coverage and diversity. Continual pretraining on AXIS dataset V1 lifts π0.5 from 83.9% to 88.8% on LIBERO-Plus, with performance improving consistently as the pretraining data scales from 25% to 100% of the full dataset, showing no clear saturation. Built with researchers from Georgia Tech UC Berkeley Texas A&M University Johns Hopkins University Penn University of Michigan NUS NTU Singapore. ➡️Related links: Paper: Dataset: Project Page: GitHub Codebase:

Axis Robotics

114,284 views • 2 months ago

Today we presented our work on Action Recognition with 3D pose and tracking at #CVPR. We also released our code, models, and dataset of 1.5 million human trajectories. Code: Project Page:

Today we presented our work on Action Recognition with 3D pose and tracking at #CVPR. We also released our code, models, and dataset of 1.5 million human trajectories. Code: Project Page:

Jathushan Rajasegaran

132,016 views • 3 years ago

1/ NEW: Introducing the Blockworks MCP: our data, your agents. Plug ChatGPT, Claude or any AI agent into every dataset we have and build whatever you can imagine.

1/ NEW: Introducing the Blockworks MCP: our data, your agents. Plug ChatGPT, Claude or any AI agent into every dataset we have and build whatever you can imagine.

Blockworks

84,843 views • 11 days ago

We are excited to share EMDB, a novel dataset of 3D human poses for in-the-wild monocular videos, including global trajectories. Data and toolkit code is now available. More details in the thread below. Project Page:

We are excited to share EMDB, a novel dataset of 3D human poses for in-the-wild monocular videos, including global trajectories. Data and toolkit code is now available. More details in the thread below. Project Page:

AIT Lab

14,625 views • 3 years ago

📢Exciting new feature in #Leafmap! 🌟 You can now visualize #EarthEngine data on a stunning 3D terrain with #MapLibre 🗺️ Browse the massive 100+ PB Earth Engine Data Catalog and overlay any dataset on an interactive 3D map. 🌍 This demo showcases the ESA global land cover dataset with 3D buildings on top 🌳 GitHub: Notebook: #geospatial #opensource #dataviz #python

📢Exciting new feature in #Leafmap! 🌟 You can now visualize #EarthEngine data on a stunning 3D terrain with #MapLibre 🗺️ Browse the massive 100+ PB Earth Engine Data Catalog and overlay any dataset on an interactive 3D map. 🌍 This demo showcases the ESA global land cover dataset with 3D buildings on top 🌳 GitHub: Notebook: #geospatial #opensource #dataviz #python

Qiusheng Wu

18,248 views • 2 years ago

We're pushing the boundaries of Robot Logistics! Our latest task is designed to generate a high-quality dataset for humanoid robots handling items. We've structured the challenge into 3 distinct levels to significantly enhance data quality. We invite more users to explore the future of logistics with us. BUILD ON BNB🔶 BNB Chain

We're pushing the boundaries of Robot Logistics! Our latest task is designed to generate a high-quality dataset for humanoid robots handling items. We've structured the challenge into 3 distinct levels to significantly enhance data quality. We invite more users to explore the future of logistics with us. BUILD ON BNB🔶 BNB Chain

EurexaLabs

75,773 views • 10 months ago

We successfully launched a sensor into a tornado with good data back! Here is the first drop of the 3D data!!!! Check out more of our science data on (we are working on better analytics for the site.) This dataset is from the Blue Rapids KS tornado on 5/18/26

We successfully launched a sensor into a tornado with good data back! Here is the first drop of the 3D data!!!! Check out more of our science data on (we are working on better analytics for the site.) This dataset is from the Blue Rapids KS tornado on 5/18/26

Will Clay

15,712 views • 4 months ago

Most robot datasets store one sentence per episode: the task. Real problems need more: a plan, a memory, room to answer questions and change course. We just shipped full language support in the LeRobot dataset format. Now lerobot-annotate points a vision-language model at each episode and writes the subtasks, plans, memory, and grounded Q&A itself - roughly $1.20 for 100 episodes. From there, recipes turn the annotated rows into policy-agnostic training messages, so the same dataset can teach planning, memory, tool calls, or low-level control, no dataset redesign required. Read how it all works on the blog:

Most robot datasets store one sentence per episode: the task. Real problems need more: a plan, a memory, room to answer questions and change course. We just shipped full language support in the LeRobot dataset format. Now lerobot-annotate points a vision-language model at each episode and writes the subtasks, plans, memory, and grounded Q&A itself - roughly $1.20 for 100 episodes. From there, recipes turn the annotated rows into policy-agnostic training messages, so the same dataset can teach planning, memory, tool calls, or low-level control, no dataset redesign required. Read how it all works on the blog:

LeRobot

13,451 views • 2 months ago

How do you scale 2 million hours of ego data without sacrificing quality? Earlier this week, we revealed the world’s largest egocentric dataset. Our frontier pipeline has also turned it into the most labeled, annotated, and human QA’ed robotics ego dataset in the world. We’ve focused on some of the hardest problems in computer vision and ego data to ensure every clip contains SOTA action supervision directly helpful for training dexterous manipulation.

How do you scale 2 million hours of ego data without sacrificing quality? Earlier this week, we revealed the world’s largest egocentric dataset. Our frontier pipeline has also turned it into the most labeled, annotated, and human QA’ed robotics ego dataset in the world. We’ve focused on some of the hardest problems in computer vision and ego data to ensure every clip contains SOTA action supervision directly helpful for training dexterous manipulation.

Midcentury

10,519 views • 17 days ago

PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking paper page: introduce PointOdyssey, a large-scale synthetic dataset, and data generation framework, for the training and evaluation of long-term fine-grained tracking algorithms. Our goal is to advance the state-of-the-art by placing emphasis on long videos with naturalistic motion. Toward the goal of naturalism, we animate deformable characters using real-world motion capture data, we build 3D scenes to match the motion capture environments, and we render camera viewpoints using trajectories mined via structure-from-motion on real videos. We create combinatorial diversity by randomizing character appearance, motion profiles, materials, lighting, 3D assets, and atmospheric effects. Our dataset currently includes 104 videos, averaging 2,000 frames long, with orders of magnitude more correspondence annotations than prior work. We show that existing methods can be trained from scratch in our dataset and outperform the published variants. Finally, we introduce modifications to the PIPs point tracking method, greatly widening its temporal receptive field, which improves its performance on PointOdyssey as well as on two real-world benchmarks.

PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking paper page: introduce PointOdyssey, a large-scale synthetic dataset, and data generation framework, for the training and evaluation of long-term fine-grained tracking algorithms. Our goal is to advance the state-of-the-art by placing emphasis on long videos with naturalistic motion. Toward the goal of naturalism, we animate deformable characters using real-world motion capture data, we build 3D scenes to match the motion capture environments, and we render camera viewpoints using trajectories mined via structure-from-motion on real videos. We create combinatorial diversity by randomizing character appearance, motion profiles, materials, lighting, 3D assets, and atmospheric effects. Our dataset currently includes 104 videos, averaging 2,000 frames long, with orders of magnitude more correspondence annotations than prior work. We show that existing methods can be trained from scratch in our dataset and outperform the published variants. Finally, we introduce modifications to the PIPs point tracking method, greatly widening its temporal receptive field, which improves its performance on PointOdyssey as well as on two real-world benchmarks.

AK

122,567 views • 3 years ago

🚨 New paper out! “FineVision: Open Data Is All You Need” 🥳 We unified 200+ data sources into 24M samples. That’s 17.3M images and 9.5B answer tokens, the largest open VLM dataset ever released. All fully documented, reproducible, and available for everyone. And there's more! 🎢

🚨 New paper out! “FineVision: Open Data Is All You Need” 🥳 We unified 200+ data sources into 24M samples. That’s 17.3M images and 9.5B answer tokens, the largest open VLM dataset ever released. All fully documented, reproducible, and available for everyone. And there's more! 🎢

Andi Marafioti

46,507 views • 11 months ago

💥We decrypted the reasoning traces of frontier models! Huge credit to @AlexPanfilov, David Schmotz and the whole team. I wrote a blog with visualizations and advisory on what this means for ALL OF US (not just providers) ↓

💥We decrypted the reasoning traces of frontier models! Huge credit to @AlexPanfilov, David Schmotz and the whole team. I wrote a blog with visualizations and advisory on what this means for ALL OF US (not just providers) ↓

Luca Beurer-Kellner

32,911 views • 1 month ago

Dear friends, so excited for Unsupervised — Data Universe — MoMA burn mechanics! These are our 100 unique AI Data Paintings for our collectors tranforming x9 Data Universes into new 100 unique NFTs and physical archival prints! Tomorrow we are starting!!!

Dear friends, so excited for Unsupervised — Data Universe — MoMA burn mechanics! These are our 100 unique AI Data Paintings for our collectors tranforming x9 Data Universes into new 100 unique NFTs and physical archival prints! Tomorrow we are starting!!!

Refik Anadol

30,780 views • 3 years ago

🚨 DNI TULSI GABBARD JUST SAID IT PERFECTLY in front of THOUSANDS on the National Mall! "All of us, and all of our leaders, need to get on our knees and prostrate ourselves before the Supreme Lord, acknowledging that we are totally dependent upon Him for our success, indeed, for our survival." "We are at this time totally dependent upon God to light our path so that we can successfully navigate the troubled waters that we are in, into a future where our children and their children and generations for hundreds and thousands of years can live in peace, freedom, and prosperity." "So on this day, let us humble ourselves before God. Let us beg for His mercy and guidance." Tulsi Gabbard 🌺 👏🏻

🚨 DNI TULSI GABBARD JUST SAID IT PERFECTLY in front of THOUSANDS on the National Mall! "All of us, and all of our leaders, need to get on our knees and prostrate ourselves before the Supreme Lord, acknowledging that we are totally dependent upon Him for our success, indeed, for our survival." "We are at this time totally dependent upon God to light our path so that we can successfully navigate the troubled waters that we are in, into a future where our children and their children and generations for hundreds and thousands of years can live in peace, freedom, and prosperity." "So on this day, let us humble ourselves before God. Let us beg for His mercy and guidance." Tulsi Gabbard 🌺 👏🏻

War Correspondent

676,809 views • 4 months ago

*clears throat* Allow us to reintroduce ourselves. We are Check. Creators of the brands that everyone loves, the products that everyone can’t leave, and the stories everyone remembers! Explore our new world.

clears throat Allow us to reintroduce ourselves. We are Check. Creators of the brands that everyone loves, the products that everyone can’t leave, and the stories everyone remembers! Explore our new world.

Check

34,494 views • 2 years ago

Meta announces Aria Everyday Activities Dataset present Aria Everyday Activities (AEA) Dataset, an egocentric multimodal open dataset recorded using Project Aria glasses. AEA contains 143 daily activity sequences recorded by multiple wearers in five geographically diverse indoor locations. Each of the recording contains multimodal sensor data recorded through the Project Aria glasses. In addition, AEA provides machine perception data including high frequency globally aligned 3D trajectories, scene point cloud, per-frame 3D eye gaze vector and time aligned speech transcription. In this paper, we demonstrate a few exemplar research applications enabled by this dataset, including neural scene reconstruction and prompted segmentation.

Meta announces Aria Everyday Activities Dataset present Aria Everyday Activities (AEA) Dataset, an egocentric multimodal open dataset recorded using Project Aria glasses. AEA contains 143 daily activity sequences recorded by multiple wearers in five geographically diverse indoor locations. Each of the recording contains multimodal sensor data recorded through the Project Aria glasses. In addition, AEA provides machine perception data including high frequency globally aligned 3D trajectories, scene point cloud, per-frame 3D eye gaze vector and time aligned speech transcription. In this paper, we demonstrate a few exemplar research applications enabled by this dataset, including neural scene reconstruction and prompted segmentation.

AK

71,225 views • 2 years ago

Human power comes from our intelligence and ability to tell stories and cooperate. But are these truly our best qualities? For all our power, we are still on the verge of destroying ourselves and our ecosystem. Our deepest insights come from compassion and introspection. Our best qualities are non-verbal. Listen to this podcast conversation with Lex Fridman, from July 2023, on #humanintelligence #storytelling #humanity #writing #stories #writer #compassion

Human power comes from our intelligence and ability to tell stories and cooperate. But are these truly our best qualities? For all our power, we are still on the verge of destroying ourselves and our ecosystem. Our deepest insights come from compassion and introspection. Our best qualities are non-verbal. Listen to this podcast conversation with Lex Fridman, from July 2023, on #humanintelligence #storytelling #humanity #writing #stories #writer #compassion

Yuval Noah Harari

130,220 views • 2 years ago

The Genesis Mission calls for new ways to accelerate scientific discovery. This is our contribution Multimodal search across 25M papers is a step toward science discovery that moves at the speed of curiosity. Releasing, - Visually indexed scientific paper dataset with open access 25M papers, 450M+ visually indexed pages. Total 175TB+. All on Deep Lake - Open-source scientific data agent that achieves 48% SOTA on Humanity's Last Exam with tools including the indexed scientific research dataset. Excited to see what discoveries you all uncover with this. Try it and share your most interesting findings.

The Genesis Mission calls for new ways to accelerate scientific discovery. This is our contribution Multimodal search across 25M papers is a step toward science discovery that moves at the speed of curiosity. Releasing, - Visually indexed scientific paper dataset with open access 25M papers, 450M+ visually indexed pages. Total 175TB+. All on Deep Lake - Open-source scientific data agent that achieves 48% SOTA on Humanity's Last Exam with tools including the indexed scientific research dataset. Excited to see what discoveries you all uncover with this. Try it and share your most interesting findings.

Davit

238,113 views • 10 months ago