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.

Back in Toronto with the next generation. At our @ps43foundation Data Dunkers program, these kids aren’t just learning the game… they’re learning how data, curiosity, and creativity can open doors on and off the court. Basketball is the entry point. The real win is showing them what’s possible. 🧠🏀... show more

pascal siakam

170,999 subscribers

47,838 views • 5 months ago •via X (Twitter)

Education Health & Wellness Sports

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Imagine a world where imagination is enough 🚀 1500 kids from 80 countries just built their first products with Lovable. Everything from games to AI selfie booths. It’s insane what kids can do when you give them the right tools. The next generation isn’t learning how to code. They’re learning how to imagine. Thanks for sharing and making it possible Fabian Hedin + Thomas Wolf

Imagine a world where imagination is enough 🚀 1500 kids from 80 countries just built their first products with Lovable. Everything from games to AI selfie booths. It’s insane what kids can do when you give them the right tools. The next generation isn’t learning how to code. They’re learning how to imagine. Thanks for sharing and making it possible Fabian Hedin + Thomas Wolf

Felix Haas

22,086 views • 9 months ago

The #Browns are hoping to open up the passing game, and one of the guys looking to help is WR Malachi Corley. But who is he off the field? Corley is a guy who enjoys the game, anime and nature—especially the deer in Parma. Get to know him on Next Man Up 👇🏽

The #Browns are hoping to open up the passing game, and one of the guys looking to help is WR Malachi Corley. But who is he off the field? Corley is a guy who enjoys the game, anime and nature—especially the deer in Parma. Get to know him on Next Man Up 👇🏽

Camryn Justice

30,879 views • 9 months ago

🏀 Future stars, future leaders. 🌟 Before hearing their names called on Draft Night, the top NBA Draft prospects hit the court with New Era Cap & local youth at NBPA ! From basketball skills and combine drills to injury prevention and off-court learning activities, it's a day focused on developing the next generation—on and off the hardwood. 💪

🏀 Future stars, future leaders. 🌟 Before hearing their names called on Draft Night, the top NBA Draft prospects hit the court with New Era Cap & local youth at NBPA ! From basketball skills and combine drills to injury prevention and off-court learning activities, it's a day focused on developing the next generation—on and off the hardwood. 💪

Jr. NBA/Jr. WNBA

43,078 views • 1 month ago

Elon Musk's Ad Astra school is launching in Bastrop, Texas! Applications for the 2024-2025 school year are now open. About the school: The next generation of problem solvers and builders. Ad Astra’s mission is to foster curiosity, creativity, and critical thinking in the next generation of problem solvers and builders. Ad Astra’s approach to education is centered around hands-on, project-based learning, where children are encouraged to explore, experiment, and discover solutions to real-world problems. Ad Astra offers a progressive learning environment that emphasizes the integration of Science, Technology, Engineering, and Mathematics (STEM) into its curriculum. More here:

Elon Musk's Ad Astra school is launching in Bastrop, Texas! Applications for the 2024-2025 school year are now open. About the school: The next generation of problem solvers and builders. Ad Astra’s mission is to foster curiosity, creativity, and critical thinking in the next generation of problem solvers and builders. Ad Astra’s approach to education is centered around hands-on, project-based learning, where children are encouraged to explore, experiment, and discover solutions to real-world problems. Ad Astra offers a progressive learning environment that emphasizes the integration of Science, Technology, Engineering, and Mathematics (STEM) into its curriculum. More here:

Dima Zeniuk

318,644 views • 2 years ago

The next DeepTech_Ready cohort is now open, and I encourage Nigerians who are ready to advance their expertise in AI, Data Science, and emerging technologies to apply here - The program is designed to equip you with practical, industry-relevant skills and hands-on experience that prepare you for real opportunities. If you’re ready to grow, learn, and contribute meaningfully to our digital economy, this is another opportunity for you. Applications are open. Register via

The next DeepTech_Ready cohort is now open, and I encourage Nigerians who are ready to advance their expertise in AI, Data Science, and emerging technologies to apply here - The program is designed to equip you with practical, industry-relevant skills and hands-on experience that prepare you for real opportunities. If you’re ready to grow, learn, and contribute meaningfully to our digital economy, this is another opportunity for you. Applications are open. Register via

Dr. 'Bosun Tijani

21,246 views • 5 months ago

Our CEO Jensen Huang and Dell Technologies Chairman & CEO Michael Dell kicked things off at #DellTechWorld in Las Vegas with a look at how the Dell AI Factory with NVIDIA is redefining how companies build, run, and scale AI. We saw NemoClaw powering agentic AI on-prem, robots demonstrating physical AI in the real world, and sessions packed with enterprise use cases.

Our CEO Jensen Huang and Dell Technologies Chairman & CEO Michael Dell kicked things off at #DellTechWorld in Las Vegas with a look at how the Dell AI Factory with NVIDIA is redefining how companies build, run, and scale AI. We saw NemoClaw powering agentic AI on-prem, robots demonstrating physical AI in the real world, and sessions packed with enterprise use cases.

NVIDIA

93,760 views • 1 month ago

In China, the next generation is growing up surrounded by artificial intelligence tech. From personal tutoring and robotic pet dogs, to young entrepreneurs making money, @SelinaWangTV reports on how children are learning about AI safety and creativity.

In China, the next generation is growing up surrounded by artificial intelligence tech. From personal tutoring and robotic pet dogs, to young entrepreneurs making money, @SelinaWangTV reports on how children are learning about AI safety and creativity.

World News Tonight

16,449 views • 2 months ago

Experiments in progress. The one on the right has been learning for ~3 hours, the one in the middle for ~1 hour, and the one on the left just started a few minutes ago. The initial motivation for making the physical Atari was just to commit ourselves to a subset of algorithms that can make progress in this setup. This commitment rules out algorithms that require billions of samples to learn (or worse, require multiple environments running in parallel). Atari games are simple enough that we should be able to show learning on them in a short amount of time with no prior knowledge. Since then, I've realized that this setup is also a good way to compare different paradigms in robotics in a principled way. These paradigms are sim2real, learning from tele-operated data, and learning directly on the robots. So far, I have observed that getting sim2real to work reliably is hard. It requires tweaks that don't scale. Policies that can play perfectly in simulation fall apart because of latencies and the messiness of the real world. These aspects could be modeled to improve the simulation, but not without sinking significant human engineering hours. I have higher hopes for learning from tele-operated data, but that requires a human to learn the task first. These experiments are on my to-do list. I have to learn to play some of the games well through the robot. I’m half-decent at playing Pong and Ms Pacman now. Learning directly on robots is looking like the most promising approach. This approach takes away pesky distribution shifts and makes it possible to have algorithms that continually improve with more data and time without any human intervention. It feels great to let experiments run overnight and wake up to find improved policies. With learning on robots, I should, in principle, be able to go on a long vacation and come back to find better policies for complex tasks beyond Atari games. Whether that is possible with current learning algorithms is a different question.

Experiments in progress. The one on the right has been learning for ~3 hours, the one in the middle for ~1 hour, and the one on the left just started a few minutes ago. The initial motivation for making the physical Atari was just to commit ourselves to a subset of algorithms that can make progress in this setup. This commitment rules out algorithms that require billions of samples to learn (or worse, require multiple environments running in parallel). Atari games are simple enough that we should be able to show learning on them in a short amount of time with no prior knowledge. Since then, I've realized that this setup is also a good way to compare different paradigms in robotics in a principled way. These paradigms are sim2real, learning from tele-operated data, and learning directly on the robots. So far, I have observed that getting sim2real to work reliably is hard. It requires tweaks that don't scale. Policies that can play perfectly in simulation fall apart because of latencies and the messiness of the real world. These aspects could be modeled to improve the simulation, but not without sinking significant human engineering hours. I have higher hopes for learning from tele-operated data, but that requires a human to learn the task first. These experiments are on my to-do list. I have to learn to play some of the games well through the robot. I’m half-decent at playing Pong and Ms Pacman now. Learning directly on robots is looking like the most promising approach. This approach takes away pesky distribution shifts and makes it possible to have algorithms that continually improve with more data and time without any human intervention. It feels great to let experiments run overnight and wake up to find improved policies. With learning on robots, I should, in principle, be able to go on a long vacation and come back to find better policies for complex tasks beyond Atari games. Whether that is possible with current learning algorithms is a different question.

Khurram Javed

52,110 views • 7 months ago

Generation Z in China | Who says Guizhou has no sea? Thai blogger Nattapong just “dived” into China’s Digital Ocean at the Big Data Expo! From AI glasses to driverless buses to mega data centers, Digital Guizhou is showing the world how the future is built today

Generation Z in China | Who says Guizhou has no sea? Thai blogger Nattapong just “dived” into China’s Digital Ocean at the Big Data Expo! From AI glasses to driverless buses to mega data centers, Digital Guizhou is showing the world how the future is built today

DiscoverGuizhou

33,413 views • 10 months ago

Unreal Engine 5 is becoming the go-to platform for robotics teams, not just as a simulator but as a synthetic data factory powering the next generation of robotics systems🦾 From synthetic data to sim-to-real transfer, read our piece on how UE5 is quietly reshaping how robots learn to see, move, and act in the real world:

Unreal Engine 5 is becoming the go-to platform for robotics teams, not just as a simulator but as a synthetic data factory powering the next generation of robotics systems🦾 From synthetic data to sim-to-real transfer, read our piece on how UE5 is quietly reshaping how robots learn to see, move, and act in the real world:

Unreal Engine

61,187 views • 3 months ago

Egor Amosov capped an outstanding week at the adidas Next Generation Tournament Finals with a strong showing in the title game. The 6'8 Russian wing is a high-level shot-maker with terrific vision and passing creativity who seemed to take a step forward defensively in Athens.

Egor Amosov capped an outstanding week at the adidas Next Generation Tournament Finals with a strong showing in the title game. The 6'8 Russian wing is a high-level shot-maker with terrific vision and passing creativity who seemed to take a step forward defensively in Athens.

Jonathan Givony

89,325 views • 2 months ago

We just launched a major new Data Engineering Professional Certificate on Coursera! Data underlies all modern AI systems, and engineers who know how to build systems to store and serve it are in high demand. If you're interested in learning this skill, please check out this 4-course sequence, which is designed to make you job-ready to be a Data Engineer. This is a new specialization taught by Joe Reis, the co-author of the best-selling book “Fundamentals of Data Engineering," in collaboration with AWS. (Disclosure, I serve on Amazon's board.) For many AI systems, data engineering is 80% of the work, and modeling is 20%. But people’s attention on these two topics is often flipped. This makes the job of the data engineer particularly important. In this professional certificate, you'll learn foundational data engineering skills while implementing modern data architectures using open-source tools: - Learn the key steps of the data lifecycle, to generate, ingest, store, transform, and serve data. - Learn to align with organizational goals to design the data pipeline right for your business' needs. - Understand how to make necessary trade-offs between speed, scalability, security, and cost. Joe has distilled into this specialization decades of experience helping startups and large companies with data infrastructure. He is also joined by 17 other industry leaders in the data field, who will help you learn in-demand skills for the growing field of data engineering. Please sign up here:

We just launched a major new Data Engineering Professional Certificate on Coursera! Data underlies all modern AI systems, and engineers who know how to build systems to store and serve it are in high demand. If you're interested in learning this skill, please check out this 4-course sequence, which is designed to make you job-ready to be a Data Engineer. This is a new specialization taught by Joe Reis, the co-author of the best-selling book “Fundamentals of Data Engineering," in collaboration with AWS. (Disclosure, I serve on Amazon's board.) For many AI systems, data engineering is 80% of the work, and modeling is 20%. But people’s attention on these two topics is often flipped. This makes the job of the data engineer particularly important. In this professional certificate, you'll learn foundational data engineering skills while implementing modern data architectures using open-source tools: - Learn the key steps of the data lifecycle, to generate, ingest, store, transform, and serve data. - Learn to align with organizational goals to design the data pipeline right for your business' needs. - Understand how to make necessary trade-offs between speed, scalability, security, and cost. Joe has distilled into this specialization decades of experience helping startups and large companies with data infrastructure. He is also joined by 17 other industry leaders in the data field, who will help you learn in-demand skills for the growing field of data engineering. Please sign up here:

Andrew Ng

118,937 views • 1 year ago

One of the biggest things Tesla FSD has changed for my family is how we use road trip time. A lot of parents ask me how my kids spend so much time learning, reading, and asking questions, and why we don’t load up our summers with endless camps. The truth is, some of our best learnings happen right in my Tesla. While Tesla FSD handles 100% of the driving, our road trips become productive family time. We bring books, laptops, and our curiosity on our rides. My kids read, learn new things with Grok, research topics they’re interested in, play educational games, and ask questions about the world around them. With Starlink keeping us connected anywhere, the car becomes literally a mobile classroom. What’s funny is that my kids are growing up thinking this is normal. To them, learning with Daddy while traveling down the highway feels completely natural. Years ago, road trips were mostly about getting from Point A to Point B. Today, they’re an opportunity for our family to learn, create, explore ideas, and spend quality time together. The combination of Tesla FSD, Starlink, computers, books, and AI has completely changed how our family travels.

One of the biggest things Tesla FSD has changed for my family is how we use road trip time. A lot of parents ask me how my kids spend so much time learning, reading, and asking questions, and why we don’t load up our summers with endless camps. The truth is, some of our best learnings happen right in my Tesla. While Tesla FSD handles 100% of the driving, our road trips become productive family time. We bring books, laptops, and our curiosity on our rides. My kids read, learn new things with Grok, research topics they’re interested in, play educational games, and ask questions about the world around them. With Starlink keeping us connected anywhere, the car becomes literally a mobile classroom. What’s funny is that my kids are growing up thinking this is normal. To them, learning with Daddy while traveling down the highway feels completely natural. Years ago, road trips were mostly about getting from Point A to Point B. Today, they’re an opportunity for our family to learn, create, explore ideas, and spend quality time together. The combination of Tesla FSD, Starlink, computers, books, and AI has completely changed how our family travels.

Teslaconomics

38,070 views • 1 month ago

Enrollment is now open for the Data Engineering Professional Certificate! Data engineers are the architects of modern organizations, ensuring data is reliable, accessible, and ready for analytics and machine learning. This professional certificate is tailored to equip you with the critical skills, through frameworks and hands-on practice, to excel in this role. Taught by industry expert Joe Reis, co-author of the best-selling book "Fundamentals of Data Engineering," along with 17 guest instructors from the data field, you will gain expertise to start and further your career in the high-demand field of data engineering. Key focus areas: 🗂️ Data Engineering Lifecycle: Learn the important stages of building an efficient data pipeline that creates business value. 📥 Data Ingestion: Learn how to efficiently gather data from various sources. 💾 Data Storage: Master the techniques for storing data securely and cost-effectively. 🔄 Data Transformation: Understand how to clean, organize, and prepare data for analysis and machine learning. 🏗️ Data Architecture Design: Build robust architectures that support scalable, efficient data workflows. 📊 Serving Data: Ensure that data is available to stakeholders when and where they need it to drive business decisions. Enroll now!

Enrollment is now open for the Data Engineering Professional Certificate! Data engineers are the architects of modern organizations, ensuring data is reliable, accessible, and ready for analytics and machine learning. This professional certificate is tailored to equip you with the critical skills, through frameworks and hands-on practice, to excel in this role. Taught by industry expert Joe Reis, co-author of the best-selling book "Fundamentals of Data Engineering," along with 17 guest instructors from the data field, you will gain expertise to start and further your career in the high-demand field of data engineering. Key focus areas: 🗂️ Data Engineering Lifecycle: Learn the important stages of building an efficient data pipeline that creates business value. 📥 Data Ingestion: Learn how to efficiently gather data from various sources. 💾 Data Storage: Master the techniques for storing data securely and cost-effectively. 🔄 Data Transformation: Understand how to clean, organize, and prepare data for analysis and machine learning. 🏗️ Data Architecture Design: Build robust architectures that support scalable, efficient data workflows. 📊 Serving Data: Ensure that data is available to stakeholders when and where they need it to drive business decisions. Enroll now!

DeepLearning.AI

20,833 views • 1 year ago

Today we are excited to open up Neuracore to the academic community! Neuracore is a new data foundation built to accelerate robot learning by removing one of the field’s biggest bottlenecks: capturing and working with high-fidelity multimodal robotics data. For the first time, researchers can store, view, and work with robotics data in a cloud-native system built specifically for large-scale learning, and we are making this core platform completely free for academia. The platform lets teams capture every sensor at its native rate, store and visualize data without loss, and then train and deploy models locally using our open-source code (Link in the comments). We are rolling out access to select academic institutions first. Anyone with an academic email can sign up, and if your institution is not part of the initial rollout, you will be able to join the waitlist directly. Beyond providing this infrastructure, we see an opportunity to build a global community where engineers and researchers can share, collaborate, and advance the frontier of robot learning together. Supported by our recent $3M pre-seed round led by Earlybird VC, we are excited to take this mission even further. Our long-term goal is for Neuracore to become the natural home for cutting-edge robot learning algorithms and real-world robotics experimentation, helping accelerate the next wave of Physical AI.

Today we are excited to open up Neuracore to the academic community! Neuracore is a new data foundation built to accelerate robot learning by removing one of the field’s biggest bottlenecks: capturing and working with high-fidelity multimodal robotics data. For the first time, researchers can store, view, and work with robotics data in a cloud-native system built specifically for large-scale learning, and we are making this core platform completely free for academia. The platform lets teams capture every sensor at its native rate, store and visualize data without loss, and then train and deploy models locally using our open-source code (Link in the comments). We are rolling out access to select academic institutions first. Anyone with an academic email can sign up, and if your institution is not part of the initial rollout, you will be able to join the waitlist directly. Beyond providing this infrastructure, we see an opportunity to build a global community where engineers and researchers can share, collaborate, and advance the frontier of robot learning together. Supported by our recent $3M pre-seed round led by Earlybird VC, we are excited to take this mission even further. Our long-term goal is for Neuracore to become the natural home for cutting-edge robot learning algorithms and real-world robotics experimentation, helping accelerate the next wave of Physical AI.

Neuracore

40,620 views • 8 months ago

Fine tuning your game just got even easier. The @bushnellgolf Launch Pro is back with improved technology to help you dial in your data this off season. @rdsbarath breaks down the new models and how it can help your game.

Fine tuning your game just got even easier. The @bushnellgolf Launch Pro is back with improved technology to help you dial in your data this off season. @rdsbarath breaks down the new models and how it can help your game.

Skratch

157,045 views • 8 months ago

“When you talk about Skenes or Rainer when they’re moving down the mound, the legs aren’t tense, it’s like floating. They’re just gaining a little ground easily and the upper body is hanging out and loading up. So after they get to the front, it can whack, turn the corner and go” Listen in on a session with Eugene where he talks about how creating tension in the legs too early can cause the slider to back up and the fastball to sail off and how some of the best throwers who make 98 and 102 look easy move🗣️ #the108way

“When you talk about Skenes or Rainer when they’re moving down the mound, the legs aren’t tense, it’s like floating. They’re just gaining a little ground easily and the upper body is hanging out and loading up. So after they get to the front, it can whack, turn the corner and go” Listen in on a session with Eugene where he talks about how creating tension in the legs too early can cause the slider to back up and the fastball to sail off and how some of the best throwers who make 98 and 102 look easy move🗣️ #the108way

108 Performance

68,952 views • 2 years ago

Excited to announce the launch of The SASH Lab at Yale Youth Summer Research Program! Open to New Jersey teens (priority goes to East Orange & Paterson teens) who are interested in learning about drug use prevention, public health & data science! share and apply!

Excited to announce the launch of The SASH Lab at Yale Youth Summer Research Program! Open to New Jersey teens (priority goes to East Orange & Paterson teens) who are interested in learning about drug use prevention, public health & data science! share and apply!

Dr. Ijeoma Opara

19,784 views • 2 years ago