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      3. Inviting Ideas on AI and Semiconductors
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      Inviting Ideas on AI and Semiconductors
      प्रारंभ तिथि 03/09/2026 - 18:00
      अंतिम तिथि 30/09/2026 - 23:45
      Time zone: IST (GMT +5.30 Hrs)
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      मंत्रालय: Department of Electronics and Information Technology (DeitY) क्षेत्र:
      Science & Technology
      रूचि के क्षेत्र:
      Science & Technology
      Created : 3/09/2026
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      Artificial Intelligence and Semiconductors are shaping the technological development landscape. As AI applications continue to expand, new possibilities are emerging across areas such as chip design, computing, manufacturing and advanced technologies.

      Share your ideas and perspectives on the evolving landscape of AI and Semiconductors.

      What new possibilities, ideas and innovations can emerge at the intersection of these technologies?
      What new possibilities can emerge from AI and Semiconductor technologies?

      Amaravathi AP News
      Amaravathi AP News
      2 weeks 2 days ago

      BharatEdge-Silicon: Secure, Energy-Aware AI–Semiconductor Co-Design BharatEdge-Silicon proposes a cross-layer framework that jointly optimizes AI models and semiconductor hardware for secure, affordable and energy-efficient edge devices. Its CoDSearch engine explores quantization, pruning, memory optimization and hardware mapping while balancing accuracy, latency, energy and security. The framework can support RISC-V, FPGA/NPU accelerators and indigenous AI chips, with applications in agriculture, healthcare, smart mobility, manufacturing, disaster response and Indian-language AI. The future is not just better AI or better chips—it is designing both together for India.

      (0.03 MB) (0.01 MB)
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      keshavgoyal_136
      keshavgoyal_136
      2 weeks 2 days ago

      The AI-semiconductor convergence is a historic opportunity for India to realize Atmanirbhar Bharat and emerge as a global hardware hub. To achieve this, we must focus on four strategic pillars: AI-Driven Chip Design: Using AI in Electronic Design Automation (EDA) will help local fabless startups design custom silicon much faster and cheaper. Edge AI: Developing low-power chips will enable offline precision agriculture and affordable medical diagnostics in remote villages without internet reliance. Smart Manufacturing: As India builds ATMP and fab facilities, embedding AI for defect detection and predictive maintenance ensures world-class yields. Green AI: Investing in energy-efficient Neuromorphic chips will position India as a global pioneer in sustainable hardware. By synergizing our AI software talent with semiconductor manufacturing ambitions, India can transition from a tech consumer to a leader in the global AI-silicon era.

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      Ranjesh_26
      Ranjesh_26
      2 weeks 2 days ago

      I am an Indian semiconductor engineer currently working in Ireland. India already has strong semiconductor design talent, but many experienced engineers work abroad due to limited manufacturing opportunities. My suggestion is to continue investing in semiconductor manufacturing, packaging, testing, research, and workforce development. A strong end-to-end semiconductor ecosystem can increase high-value exports, reduce import dependence, create high-skilled jobs, and encourage talented Indians working overseas to return and contribute to India's growth. India has the potential to become a global semiconductor hub by combining design excellence with manufacturing capability.

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      sudiptakumarbehera_1
      sudipta kumar behera
      2 weeks 2 days ago

      1. AI-Powered Chip Design – AI can help design faster, smaller, and more energy-efficient semiconductor chips. 2. Smarter AI Processors – Develop specialized chips that can run AI models faster with lower power consumption. 3. AI in Semiconductor Manufacturing – Use AI to detect defects, improve quality, and optimize chip production. 4. Energy-Efficient Computing – Combine AI with advanced semiconductor technology to reduce electricity and cooling requirements. 5. AI at the Edge – Create small, powerful chips that allow smartphones, vehicles, cameras, and IoT devices to process AI locally. 6. AI-Enabled Healthcare – Advanced chips can support AI systems for faster medical imaging, diagnosis, and personalized treatment. 7. Autonomous Vehicles and Robotics – AI chips can enable robots, drones, and self-driving vehicles to make decisions in real time. 8. Neuromorphic Computing – Develop brain-inspired semiconductor chips that process information more like the human brain.

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      OmVerulkar
      OmVerulkar
      2 weeks 2 days ago

      Agriculture is strongly affected by soil condition, rainfall, temperature, irrigation, pests, and crop diseases. Small farmers may not have immediate access to expert advice. Krushi AI provides a single digital platform where basic farm information can be converted into practical recommendations. The system is intended as an educational prototype and should be validated with local agricultural experts before operational use.Farmers often make crop, irrigation, and disease-management decisions using experience alone. Incorrect crop selection, excessive irrigation, unsuitable fertilizer use, and late disease identification can reduce productivity. A low-cost AI assistant can provide preliminary guidance from measurable inputs and images.

      comments image 192524
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      dikshasharma_784
      dikshasharma_784
      2 weeks 2 days ago

      RideMitra is an AI-powered ride-sharing platform designed to solve the growing problems of traffic congestion, pollution, high travel costs, and the inefficient use of private vehicles in cities. In many cities, thousands of people travel in the same direction every day, but most vehicles carry only one person, resulting in more vehicles on the road, increased traffic, fuel consumption, and carbon emissions. RideMitra addresses this problem by connecting people who are travelling along similar routes at similar times so they can share a journey and divide the travel expenses. For example, if a person is travelling from Ghaziabad to Delhi and has empty seats in their car, they can list their journey on RideMitra, while another person travelling toward Delhi can discover and request to join that ride and share the cost. Unlike a traditional taxi or cab service, RideMitra is not focused on providing professional drivers; it focuses on making better use of vehicles that are already travell

      comments image 192477
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      Tannu Sharma 61
      Tannu Sharma 61
      2 weeks 2 days ago

      The intersection of Artificial Intelligence and Semiconductors can create a new generation of intelligent and self-reliant technologies in India. AI can be used to design better chips, optimize manufacturing processes, detect defects and reduce the time and cost involved in semiconductor development. One important possibility is the development of affordable, energy-efficient AI chips designed for Indian requirements. Such chips could support applications in healthcare, agriculture, education, defence, smart cities and rural connectivity, including AI systems that can work efficiently even in areas with limited internet access. AI-driven semiconductor design can also create new opportunities for Indian students,researchers and startups.By providing access to chip-design tools, laboratories, training and industry projects, India can encourage young innovators to develop indigenous hardware and AI solutions. In the long term, combining AI with semiconductor innovation can help India

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      SakhamudiAnudeep
      SakhamudiAnudeep
      2 weeks 2 days ago

      AI-Powered Semiconductor Mission for an Atmanirbhar India India should focus on developing affordable, energy-efficient and secure AI-enabled semiconductor solutions designed for Indian needs. AI can be used not only as an application but also in chip architecture, verification, testing and manufacturing to accelerate semiconductor development.A national AI–Semiconductor Innovation Network could connect colleges, startups, research institutions and semiconductor industries through shared chip-design labs, simulation platforms and innovation grants. Students could develop indigenous AI chips for agriculture, healthcare, education, smart mobility and public services, including support for Indian languages.Special emphasis should be given to edge-AI chips that can process data locally, reducing cloud dependency, latency and privacy risks. Modular and reconfigurable chip designs could allow the same hardware platform to serve multiple applications.

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      kartikeysingh_490
      kartikeysingh_490
      2 weeks 3 days ago

      Artificial Intelligence (AI) and semiconductors are two of the most important technologies shaping the future. AI needs powerful semiconductor chips to process huge amounts of data quickly, while advanced chips make AI systems faster, smarter, and more energy-efficient. There is a great opportunity to develop new ideas in areas such as AI-powered chip design, low-power AI processors, robotics, healthcare, agriculture, cybersecurity, and smart devices. We should encourage students, researchers, startups, and industries to share innovative ideas and work together. Investment in semiconductor manufacturing, research, skill development, and responsible AI can help create jobs, strengthen technology, and reduce dependence on other countries. By combining creativity, education, and innovation, we can build a strong AI and semiconductor ecosystem and contribute to a smarter, more self-reliant future.

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      YourName_115355
      ashim k mukherjee
      2 weeks 3 days ago

      Respected PM MODI SIR Me: BE(Mech)'64,MBA(XLRI, JAMSHEDPUR)'82, stood 5th n almostCOST Account n retired CHAIRMAN n MD of Govt Co. with 72 units n 18000 people Sir my prayer is to spread with youth my U-tube 95 episodes @successsauceninterviewtorp786, to drive them out of mobile. I need your kind help to spread to youth how to avoid poison of mobile

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