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Shri Gabar Singh, Head Teacher and Science/Maths Educator from Govt. UPS Musyakhand, Pauri Garhwal, Uttarakhand, dedicated 35 years to transforming rural education and advancing STEM pedagogy in remote mountain regions. Driven by the vision of NEP 2020, he promoted ICT as a primary tool for creating an interactive teaching...

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Ministry of Education

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21,216 просмотров • 23 дней назад •via X (Twitter)

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𝐃𝐢𝐬𝐭𝐫𝐢𝐜𝐭 𝐌𝐢𝐧𝐞𝐫𝐚𝐥 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 (𝐃𝐌𝐅) 𝐄𝐱𝐩𝐚𝐧𝐝𝐢𝐧𝐠 𝐀𝐜𝐜𝐞𝐬𝐬 𝐭𝐨 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲-𝐄𝐧𝐚𝐛𝐥𝐞𝐝 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐢𝐧 𝐑𝐮𝐫𝐚𝐥 𝐊𝐚𝐫𝐧𝐚𝐭𝐚𝐤𝐚 Demonstrating a strong commitment to inclusive development, DMF–Chikkamagaluru, Karnataka has strengthened educational infrastructure in mining-affected regions by equipping 50 government schools with smart classrooms and solar-powered learning facilities. These initiatives provide: ✔️ Smart, interactive classroom: improving learning ✔️ Reliable solar-powered education infrastructure ✔️ Future-ready learning environments for rural students Guided by the vision of Hon’ble PM Shri Narendra Modi ji, the Ministry remains committed to empowering Yuva Shakti by strengthening access to quality, technology-enabled education and unlocking the potential of young minds in mining-affected regions. dmfgov Ministry of Mines
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𝐃𝐢𝐬𝐭𝐫𝐢𝐜𝐭 𝐌𝐢𝐧𝐞𝐫𝐚𝐥 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 (𝐃𝐌𝐅) 𝐄𝐱𝐩𝐚𝐧𝐝𝐢𝐧𝐠 𝐀𝐜𝐜𝐞𝐬𝐬 𝐭𝐨 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲-𝐄𝐧𝐚𝐛𝐥𝐞𝐝 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐢𝐧 𝐑𝐮𝐫𝐚𝐥 𝐊𝐚𝐫𝐧𝐚𝐭𝐚𝐤𝐚 Demonstrating a strong commitment to inclusive development, DMF–Chikkamagaluru, Karnataka has strengthened educational infrastructure in mining-affected regions by equipping 50 government schools with smart classrooms and solar-powered learning facilities. These initiatives provide: ✔️ Smart, interactive classroom: improving learning ✔️ Reliable solar-powered education infrastructure ✔️ Future-ready learning environments for rural students Guided by the vision of Hon’ble PM Shri Narendra Modi ji, the Ministry remains committed to empowering Yuva Shakti by strengthening access to quality, technology-enabled education and unlocking the potential of young minds in mining-affected regions. dmfgov Ministry of Mines

G Kishan Reddy

11,108 просмотров • 8 месяцев назад

Spotlight on Champions of Change ! Presenting Team Purnea ! Purnea, Bihar, is leading the way in transforming education and has been awarded ₹3 crore under the Aspirational Districts Programme for its outstanding efforts and remarkable improvements in the sector. By leveraging technology-driven solutions, the district is making learning more accessible, engaging and effective for students, ensuring equitable education for all. One of the most significant initiatives is the introduction of Smart Classes, which are converting traditional classrooms into interactive learning spaces. These digital tools are enhancing student engagement, making lessons more dynamic and effective. Additionally, Live Classes have been implemented to provide real-time lessons from expert educators, ensuring that students in even the most remote areas have access to quality education. To further strengthen learning outcomes, technology-enabled solutions are being deployed to bridge learning gaps, improve teacher-student interaction and build a future-ready education system. These efforts are equipping students with cutting-edge digital resources, ensuring that every child, regardless of their location, has access to high-quality education. Purnea’s success is a testament to the power of innovation and strategic interventions in transforming education. This achievement highlights how Aspirational Districts can leverage technology-driven solutions to drive meaningful impact. Let’s celebrate this milestone and continue striving for a stronger, smarter and more inclusive learning ecosystem across India ! #PMOIndia #NITIAayog #AspirationalDistricts #EducationForAll #AccessToEducation #BuildingTheFuture #InfrastructureMatters #TransformingIndia #BharatKeBadhteKadam #DistrictsAsLaboratoriesOfDevelopment
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Spotlight on Champions of Change ! Presenting Team Purnea ! Purnea, Bihar, is leading the way in transforming education and has been awarded ₹3 crore under the Aspirational Districts Programme for its outstanding efforts and remarkable improvements in the sector. By leveraging technology-driven solutions, the district is making learning more accessible, engaging and effective for students, ensuring equitable education for all. One of the most significant initiatives is the introduction of Smart Classes, which are converting traditional classrooms into interactive learning spaces. These digital tools are enhancing student engagement, making lessons more dynamic and effective. Additionally, Live Classes have been implemented to provide real-time lessons from expert educators, ensuring that students in even the most remote areas have access to quality education. To further strengthen learning outcomes, technology-enabled solutions are being deployed to bridge learning gaps, improve teacher-student interaction and build a future-ready education system. These efforts are equipping students with cutting-edge digital resources, ensuring that every child, regardless of their location, has access to high-quality education. Purnea’s success is a testament to the power of innovation and strategic interventions in transforming education. This achievement highlights how Aspirational Districts can leverage technology-driven solutions to drive meaningful impact. Let’s celebrate this milestone and continue striving for a stronger, smarter and more inclusive learning ecosystem across India ! #PMOIndia #NITIAayog #AspirationalDistricts #EducationForAll #AccessToEducation #BuildingTheFuture #InfrastructureMatters #TransformingIndia #BharatKeBadhteKadam #DistrictsAsLaboratoriesOfDevelopment

NITI Aayog

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Transformer Explainer Interactive Learning of Text-Generative Models discuss: Transformers have revolutionized machine learning, yet their inner workings remain opaque to many. We present Transformer Explainer, an interactive visualization tool designed for non-experts to learn about Transformers through the GPT-2 model. Our tool helps users understand complex Transformer concepts by integrating a model overview and enabling smooth transitions across abstraction levels of mathematical operations and model structures. It runs a live GPT-2 instance locally in the user's browser, empowering users to experiment with their own input and observe in real-time how the internal components and parameters of the Transformer work together to predict the next tokens. Our tool requires no installation or special hardware, broadening the public's education access to modern generative AI techniques.
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AK

90,862 просмотров • 2 лет назад

Delhi CM Rekha Gupta today inaugurated a new STEM Innovation Lab at Sarvodaya Vidyalaya, Pitampura. Equipped with modern learning tools, the state-of-the-art facility will provide students with opportunities for hands-on learning, creative thinking and innovation. Speaking on the occasion, the Chief Minister said that every child in Delhi should have the opportunity to dream big and access modern avenues to realise those aspirations. She reaffirmed the Delhi Government’s commitment to expanding world-class educational infrastructure in government schools so that every student is equipped to meet the opportunities and challenges of the future. The STEM Innovation Lab at Sarvodaya Vidyalaya, Pitampura has been established through the initiative of renowned cricketer and Chairman of Da One Group, Shri Shikhar Dhawan, with the support of the Shikhar Dhawan Foundation, led by Smt. Sophie Dhawan, and HMD Global under the leadership of its CEO and South Asia Head, Shri Ravi Kunwar. The initiative will enable students to strengthen their understanding of science, technology, engineering and mathematics through experiential learning while nurturing the skills required for an innovation-driven future.
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Delhi CM Rekha Gupta today inaugurated a new STEM Innovation Lab at Sarvodaya Vidyalaya, Pitampura. Equipped with modern learning tools, the state-of-the-art facility will provide students with opportunities for hands-on learning, creative thinking and innovation. Speaking on the occasion, the Chief Minister said that every child in Delhi should have the opportunity to dream big and access modern avenues to realise those aspirations. She reaffirmed the Delhi Government’s commitment to expanding world-class educational infrastructure in government schools so that every student is equipped to meet the opportunities and challenges of the future. The STEM Innovation Lab at Sarvodaya Vidyalaya, Pitampura has been established through the initiative of renowned cricketer and Chairman of Da One Group, Shri Shikhar Dhawan, with the support of the Shikhar Dhawan Foundation, led by Smt. Sophie Dhawan, and HMD Global under the leadership of its CEO and South Asia Head, Shri Ravi Kunwar. The initiative will enable students to strengthen their understanding of science, technology, engineering and mathematics through experiential learning while nurturing the skills required for an innovation-driven future.

The Times Of India

36,610 просмотров • 1 месяц назад

App Showcase!✨ Introducing Graph Guesser—an educational tool that highlights the limitless app-building potential of Alchemist AI. Leveraging our AI-Within-AI system, it dynamically generates unique challenges, making learning interactive and engaging. Features • AI-Generated Math Challenges: Dive into a diverse range of equations, intelligently tailored to 3 distinct difficulty levels. From basic linear graphs to advanced polynomial curves, each challenge is designed to enhance learning while keeping it interactive and fun. • Match Equations to Graphs: Users are tasked with identifying the correct graph representation of each equation, enhancing their understanding of mathematical concepts like linear equations, quadratic curves, and more. • Timer & Score Tracking: Stay motivated with real-time progress tracking. The built-in timer and scoring system provide a competitive edge, encouraging continuous improvement and mastery. Built By: @cyberbush3 Download App:
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App Showcase!✨ Introducing Graph Guesser—an educational tool that highlights the limitless app-building potential of Alchemist AI. Leveraging our AI-Within-AI system, it dynamically generates unique challenges, making learning interactive and engaging. Features • AI-Generated Math Challenges: Dive into a diverse range of equations, intelligently tailored to 3 distinct difficulty levels. From basic linear graphs to advanced polynomial curves, each challenge is designed to enhance learning while keeping it interactive and fun. • Match Equations to Graphs: Users are tasked with identifying the correct graph representation of each equation, enhancing their understanding of mathematical concepts like linear equations, quadratic curves, and more. • Timer & Score Tracking: Stay motivated with real-time progress tracking. The built-in timer and scoring system provide a competitive edge, encouraging continuous improvement and mastery. Built By: @cyberbush3 Download App:

ALCHEMIST AI 🔮

19,398 просмотров • 1 год назад

AI has changed education completely and you are just one prompt away from learning anything you want. OpenMAIC is an open-source platform from Tsinghua University that generates an entire interactive AI classroom in one click. Not just slides. You get an AI teacher who actually explains concepts with voice and real-time teaching actions. You get study-buddy agents who sit with you in a roundtable discussion. You get quizzes that adapt. You get a whiteboard where agents work through concepts live. The core idea is simple but powerful. True interactivity means you stop watching and start engaging. Multiple agents, not one algorithm. Community-driven, fully extensible. I gave it a single prompt. Plan Agent structured the entire content flow automatically and generated the session. I tested it by building a course on Machine Learning for Beginners. Here's what happened 👇 Sponsored
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AI has changed education completely and you are just one prompt away from learning anything you want. OpenMAIC is an open-source platform from Tsinghua University that generates an entire interactive AI classroom in one click. Not just slides. You get an AI teacher who actually explains concepts with voice and real-time teaching actions. You get study-buddy agents who sit with you in a roundtable discussion. You get quizzes that adapt. You get a whiteboard where agents work through concepts live. The core idea is simple but powerful. True interactivity means you stop watching and start engaging. Multiple agents, not one algorithm. Community-driven, fully extensible. I gave it a single prompt. Plan Agent structured the entire content flow automatically and generated the session. I tested it by building a course on Machine Learning for Beginners. Here's what happened 👇 Sponsored

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G Kishan Reddy

11,269 просмотров • 8 месяцев назад

MP for Assin South and former Deputy Minister for Education, Rev. John Ntim Fordjour, has disclosed that he uncovered what he describes as a deliberate attempt by the NDC to subtly introduce LGBTQ-related content into Ghana’s national curriculum. According to him, the content was embedded in teacher manuals and other teaching and learning materials that were printed and distributed, despite the party’s public stance against LGBTQ issues. Rev. Fordjour is therefore calling on stakeholders and the general public to strongly resist the inclusion of such material in school textbooks, warning that it threatens the moral and cultural future of the next generation.
1:14

MP for Assin South and former Deputy Minister for Education, Rev. John Ntim Fordjour, has disclosed that he uncovered what he describes as a deliberate attempt by the NDC to subtly introduce LGBTQ-related content into Ghana’s national curriculum. According to him, the content was embedded in teacher manuals and other teaching and learning materials that were printed and distributed, despite the party’s public stance against LGBTQ issues. Rev. Fordjour is therefore calling on stakeholders and the general public to strongly resist the inclusion of such material in school textbooks, warning that it threatens the moral and cultural future of the next generation.

THE STATE NEWS

19,906 просмотров • 8 месяцев назад

Today, we're joined by Nikita Rudin, co-founder and CEO of Flexion to discuss the gap between current robotic capabilities and what’s required to deploy fully autonomous robots in the real world. Nikita explains how reinforcement learning and simulation have driven rapid progress in robot locomotion—and why locomotion is still far from “solved.” We dig into the sim2real gap, and how adding visual inputs introduces noise and significantly complicates sim-to-real transfer. We also explore the debate between end-to-end models and modular approaches, and why separating locomotion, planning, and semantics remains a pragmatic approach today. Nikita also introduces the concept of "real-to-sim", which uses real-world data to refine simulation parameters for higher fidelity training, discusses how reinforcement learning, imitation learning, and teleoperation data are combined to train robust policies for both quadruped and humanoid robots, and introduces Flexion's hierarchical approach that utilizes pre-trained Vision-Language Models (VLMs) for high-level task orchestration with Vision-Language-Action (VLA) models and low-level whole-body trackers. Finally, Nikita shares the behind-the-scenes in humanoid robot demos, his take on reinforcement learning in simulation versus the real world, the nuances of reward tuning, and offers practical advice for researchers and practitioners looking to get started in robotics today. 🗒️ For the full list of resources for this episode, visit the show notes page: 📖 CHAPTERS =============================== 00:00 - Introduction 04:07 - Is robot locomotion solved? 06:04 - Sim-to-real gap 08:58 - Adding semantics to policies 09:42 - Modular vs end-to-end architectures 10:29 - Planner model 12:21 - Adapting RL techniques from quadrupeds to humanoids 15:39 - Behind robot demos 18:09 - Humanoid robots in home environments 22:03 - Training approach 23:56 - VLA models 27:59 - Closing the sim-to-real gap 32:55 - Task orchestration using VLMs 36:38 - Tool use 38:10 - Model hierarchy 43:37 - Simulator versus simulation environment 44:57 - Combining imitation learning and reinforcement learning 46:42 - RL in real world versus RL in simulation 52:58 - Reward tuning and value functions in robotics 56:38 - Predictions 1:00:10 - Humanoids, quadropeds, and wheeled platforms 1:02:45 - Advice, recommended robot kits, and community pla
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Today, we're joined by Nikita Rudin, co-founder and CEO of Flexion to discuss the gap between current robotic capabilities and what’s required to deploy fully autonomous robots in the real world. Nikita explains how reinforcement learning and simulation have driven rapid progress in robot locomotion—and why locomotion is still far from “solved.” We dig into the sim2real gap, and how adding visual inputs introduces noise and significantly complicates sim-to-real transfer. We also explore the debate between end-to-end models and modular approaches, and why separating locomotion, planning, and semantics remains a pragmatic approach today. Nikita also introduces the concept of "real-to-sim", which uses real-world data to refine simulation parameters for higher fidelity training, discusses how reinforcement learning, imitation learning, and teleoperation data are combined to train robust policies for both quadruped and humanoid robots, and introduces Flexion's hierarchical approach that utilizes pre-trained Vision-Language Models (VLMs) for high-level task orchestration with Vision-Language-Action (VLA) models and low-level whole-body trackers. Finally, Nikita shares the behind-the-scenes in humanoid robot demos, his take on reinforcement learning in simulation versus the real world, the nuances of reward tuning, and offers practical advice for researchers and practitioners looking to get started in robotics today. 🗒️ For the full list of resources for this episode, visit the show notes page: 📖 CHAPTERS =============================== 00:00 - Introduction 04:07 - Is robot locomotion solved? 06:04 - Sim-to-real gap 08:58 - Adding semantics to policies 09:42 - Modular vs end-to-end architectures 10:29 - Planner model 12:21 - Adapting RL techniques from quadrupeds to humanoids 15:39 - Behind robot demos 18:09 - Humanoid robots in home environments 22:03 - Training approach 23:56 - VLA models 27:59 - Closing the sim-to-real gap 32:55 - Task orchestration using VLMs 36:38 - Tool use 38:10 - Model hierarchy 43:37 - Simulator versus simulation environment 44:57 - Combining imitation learning and reinforcement learning 46:42 - RL in real world versus RL in simulation 52:58 - Reward tuning and value functions in robotics 56:38 - Predictions 1:00:10 - Humanoids, quadropeds, and wheeled platforms 1:02:45 - Advice, recommended robot kits, and community pla

The TWIML AI Podcast

22,592 просмотров • 8 месяцев назад

Focusing on the first E in our THEMES+ agenda, which is Education and Technology, the Tolu Schools Complex in Ajegunle sits on nearly 12 hectares and serves about 20,000 students across 36 schools, both primary and secondary. Before the upgrade, many of the buildings were in poor condition. Today, the entire complex has been rebuilt and expanded, marking its most significant transformation since it was established over 40 years ago. New classroom blocks have been added to reduce overcrowding. The facilities now include a football pitch, sports courts, a health centre, a fire station, and essential services like solar power and improved water systems. There is also a clear focus on inclusion. Dedicated buildings for students with disabilities have been introduced, along with lifts to make movement easier within the complex. A vocational centre is now in place, offering training in practical skills such as tailoring, plumbing, and masonry. With an ICT hub and a central laboratory, students are better positioned to engage with science and technology in a more hands-on way. Overall, the project creates a more supportive and functional learning environment for a densely populated community.
2:59

Focusing on the first E in our THEMES+ agenda, which is Education and Technology, the Tolu Schools Complex in Ajegunle sits on nearly 12 hectares and serves about 20,000 students across 36 schools, both primary and secondary. Before the upgrade, many of the buildings were in poor condition. Today, the entire complex has been rebuilt and expanded, marking its most significant transformation since it was established over 40 years ago. New classroom blocks have been added to reduce overcrowding. The facilities now include a football pitch, sports courts, a health centre, a fire station, and essential services like solar power and improved water systems. There is also a clear focus on inclusion. Dedicated buildings for students with disabilities have been introduced, along with lifts to make movement easier within the complex. A vocational centre is now in place, offering training in practical skills such as tailoring, plumbing, and masonry. With an ICT hub and a central laboratory, students are better positioned to engage with science and technology in a more hands-on way. Overall, the project creates a more supportive and functional learning environment for a densely populated community.

Babajide Sanwo-Olu

176,059 просмотров • 5 месяцев назад

DENMARK–RWANDA PARTNERSHIP ADVANCES RESEARCH & INNOVATION AT UR On 16 February 2026, Denmark’s Minister for Foreign Affairs, Hon. Lars Løkke Rasmussen, visited the University of Rwanda Headquarters in #Kigali, where he was received by UR leadership alongside a high-level delegation from the Embassy of Denmark. The visit featured a walk-and-talk to the School of Architecture and Built Environment, showcasing UR’s strengths in applied research, sustainable design, and innovation aligned with Rwanda’s national transformation agenda. The Minister engaged with students and staff, highlighting UR’s project-based learning and solutions-driven approach to contemporary development challenges. A key milestone was the official launch of the #Danida-funded Knowledge and Innovation Programme (KIP) under the GeoAI for Land Systems Science Partnership led by the University of Copenhagen. The programme strengthens capacity in geography, data science, and geospatial AI, while offering fully funded MSc scholarships for UR students, deepening long-term Denmark–Africa academic cooperation. The visit concluded with a symbolic photo session, reaffirming the shared commitment of #Denmark and #Rwanda to advancing research excellence, innovation, and strategic higher education partnerships.
1:48

DENMARK–RWANDA PARTNERSHIP ADVANCES RESEARCH & INNOVATION AT UR On 16 February 2026, Denmark’s Minister for Foreign Affairs, Hon. Lars Løkke Rasmussen, visited the University of Rwanda Headquarters in #Kigali, where he was received by UR leadership alongside a high-level delegation from the Embassy of Denmark. The visit featured a walk-and-talk to the School of Architecture and Built Environment, showcasing UR’s strengths in applied research, sustainable design, and innovation aligned with Rwanda’s national transformation agenda. The Minister engaged with students and staff, highlighting UR’s project-based learning and solutions-driven approach to contemporary development challenges. A key milestone was the official launch of the #Danida-funded Knowledge and Innovation Programme (KIP) under the GeoAI for Land Systems Science Partnership led by the University of Copenhagen. The programme strengthens capacity in geography, data science, and geospatial AI, while offering fully funded MSc scholarships for UR students, deepening long-term Denmark–Africa academic cooperation. The visit concluded with a symbolic photo session, reaffirming the shared commitment of #Denmark and #Rwanda to advancing research excellence, innovation, and strategic higher education partnerships.

University of Rwanda

11,059 просмотров • 7 месяцев назад

Introducing Reinforcement-Learned Teachers (RLTs): Transforming how we teach LLMs to reason with reinforcement learning (RL). Blog: Paper: Traditional RL focuses on “learning to solve” challenging problems with expensive LLMs and constitutes a key step in making student AI systems ultimately acquire reasoning capabilities via distillation and cold-starting. Enter our RLTs—a new class of models prompted with not only a problem’s question but also its solution, and directly trained to generate clear, step-by-step “explanations” to teach their students. Remarkably, an RLT with only 7B parameters produces superior results when distilling and cold-starting students in competitive and graduate-level reasoning tasks than orders-of-magnitude larger LLMs. RLTs are as effective even when distilling 32B students, much larger than the teacher itself—unlocking a new standard for efficiency in developing reasoning language models with RL. Code:
0:34

Introducing Reinforcement-Learned Teachers (RLTs): Transforming how we teach LLMs to reason with reinforcement learning (RL). Blog: Paper: Traditional RL focuses on “learning to solve” challenging problems with expensive LLMs and constitutes a key step in making student AI systems ultimately acquire reasoning capabilities via distillation and cold-starting. Enter our RLTs—a new class of models prompted with not only a problem’s question but also its solution, and directly trained to generate clear, step-by-step “explanations” to teach their students. Remarkably, an RLT with only 7B parameters produces superior results when distilling and cold-starting students in competitive and graduate-level reasoning tasks than orders-of-magnitude larger LLMs. RLTs are as effective even when distilling 32B students, much larger than the teacher itself—unlocking a new standard for efficiency in developing reasoning language models with RL. Code:

Sakana AI

179,423 просмотров • 1 год назад

Maharashtra to Drive the Vision of Viksit Bharat 2047! Grateful to attend the 11th Meeting of the Governing Council of NITI Aayog, chaired by our Hon PM Narendra Modi Ji. Under the visionary leadership of Hon PM Modi Ji and his transformative framework of Viksit Bharat 2047, Maharashtra is charting an ambitious roadmap of Viksit Maharashtra 2047 towards becoming $5 trillion economy by 2047. From strengthening education through NEP 2020, AI-integrated learning and world-class educational hubs to empowering youth through skilling, entrepreneurship, startups and apprenticeships, Maharashtra is building a future-ready ecosystem. Progress in healthcare, women's empowerment, inclusive development, labour and HR reforms, sports excellence and AgriStack-driven agricultural transformation is ensuring equitable and sustainable growth. As we move forward, Maharashtra remains committed towards focused action plans, aspirational district and taluka development and innovation-led progress, contributing significantly to India's vision of becoming a developed, inclusive and globally competitive nation. Narendra Modi NITI Aayog #ViksitBharat2047 #GoverningCouncil #ViksitMaharashtra2047
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Maharashtra to Drive the Vision of Viksit Bharat 2047! Grateful to attend the 11th Meeting of the Governing Council of NITI Aayog, chaired by our Hon PM Narendra Modi Ji. Under the visionary leadership of Hon PM Modi Ji and his transformative framework of Viksit Bharat 2047, Maharashtra is charting an ambitious roadmap of Viksit Maharashtra 2047 towards becoming $5 trillion economy by 2047. From strengthening education through NEP 2020, AI-integrated learning and world-class educational hubs to empowering youth through skilling, entrepreneurship, startups and apprenticeships, Maharashtra is building a future-ready ecosystem. Progress in healthcare, women's empowerment, inclusive development, labour and HR reforms, sports excellence and AgriStack-driven agricultural transformation is ensuring equitable and sustainable growth. As we move forward, Maharashtra remains committed towards focused action plans, aspirational district and taluka development and innovation-led progress, contributing significantly to India's vision of becoming a developed, inclusive and globally competitive nation. Narendra Modi NITI Aayog #ViksitBharat2047 #GoverningCouncil #ViksitMaharashtra2047

Devendra Fadnavis

24,242 просмотров • 3 месяцев назад

It was a great pleasure to meet Shri Neal Mohan, the Global CEO of YouTube, earlier today in Mumbai. We discussed various aspects of partnership between the GoM and YouTube in areas such as education, skill development, and ways to further strengthen the creator economy. YouTube has opened up great avenues for people from all walks of life to be able to push their content and seek global recognition. I acknowledged the impact YouTube has had on the world and how it has made communication easy and learning a positive experience. He is here as part of the 'WAVES' Summit. He congratulated the GoI and GoM for putting together such an event at global scale and lauded the vision of Hon PM Narendra Modi Ji. We welcomed him and his entire team to Mumbai, the capital of entertainment and creators, and wished him super success for his visit. Maharashtra looks forward to colab! Neal Mohan YouTube #Maharashtra #Mumbai #YouTube
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It was a great pleasure to meet Shri Neal Mohan, the Global CEO of YouTube, earlier today in Mumbai. We discussed various aspects of partnership between the GoM and YouTube in areas such as education, skill development, and ways to further strengthen the creator economy. YouTube has opened up great avenues for people from all walks of life to be able to push their content and seek global recognition. I acknowledged the impact YouTube has had on the world and how it has made communication easy and learning a positive experience. He is here as part of the 'WAVES' Summit. He congratulated the GoI and GoM for putting together such an event at global scale and lauded the vision of Hon PM Narendra Modi Ji. We welcomed him and his entire team to Mumbai, the capital of entertainment and creators, and wished him super success for his visit. Maharashtra looks forward to colab! Neal Mohan YouTube #Maharashtra #Mumbai #YouTube

Devendra Fadnavis

21,067 просмотров • 1 год назад

Today we’re releasing V-JEPA, a method for teaching machines to understand and model the physical world by watching videos. This work is another important step towards Yann LeCun’s outlined vision of AI models that use a learned understanding of the world to plan, reason and accomplish complex tasks. Details ➡️ We're releasing a collection of V-JEPA vision models trained with a feature prediction objective using self-supervised learning. The models are able to understand and predict what is going on in a video, even with limited information. It learns by predicting missing or obscured parts of a video in its internal feature space. Unlike generative approaches that fill in missing pixels, this flexible approach enables up to 6x improvements in training and sample efficiency. The models were pre-trained on entirely unlabeled data, and a small amount of labeled data can be used to train a task-specific prediction head on top after pre-training. Our results show that, using a frozen backbone, our top V-JEPA models achieve 82.0% on Kinetics-400, 72.2% on Something-Something-v2 and 77.9% on ImageNet1K — competitive with or exceeding previous leading video models. We believe that this work is an important milestone on the path to advancing machine intelligence.
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Today we’re releasing V-JEPA, a method for teaching machines to understand and model the physical world by watching videos. This work is another important step towards Yann LeCun’s outlined vision of AI models that use a learned understanding of the world to plan, reason and accomplish complex tasks. Details ➡️ We're releasing a collection of V-JEPA vision models trained with a feature prediction objective using self-supervised learning. The models are able to understand and predict what is going on in a video, even with limited information. It learns by predicting missing or obscured parts of a video in its internal feature space. Unlike generative approaches that fill in missing pixels, this flexible approach enables up to 6x improvements in training and sample efficiency. The models were pre-trained on entirely unlabeled data, and a small amount of labeled data can be used to train a task-specific prediction head on top after pre-training. Our results show that, using a frozen backbone, our top V-JEPA models achieve 82.0% on Kinetics-400, 72.2% on Something-Something-v2 and 77.9% on ImageNet1K — competitive with or exceeding previous leading video models. We believe that this work is an important milestone on the path to advancing machine intelligence.

AI at Meta

704,009 просмотров • 2 лет назад