प्रारंभ तिथि
03/09/2026 - 18:00
अंतिम तिथि
30/09/2026 - 23:45
Time zone: IST (GMT +5.30 Hrs)
Created : 3/09/2026
279
Total Comments
210
Users Participated
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?
1 week 5 days ago
India's AI and semiconductor ecosystem can create significant opportunities in edge computing, where AI-enabled devices process information locally for agriculture, healthcare, transportation, industrial monitoring and public infrastructure.
An important part of this ecosystem is reliable communication. An edge device may detect an event locally, but its value depends on delivering that information to the right person or system. SMS can be useful because it does not require a dedicated app or high-bandwidth internet connection. APIs can also enable IoT and edge systems to trigger notifications automatically.
Platforms such as Textplate (textplate.in) demonstrate how programmable SMS infrastructure can connect applications and businesses, supporting practical deployments where connectivity and accessibility matter.
1 week 5 days ago
AI और सेमीकंडक्टर तकनीक का मेल भारत के लिए नई संभावनाएं पैदा कर सकता है। मेरा सुझाव है कि AI आधारित चिप डिजाइन, कम ऊर्जा में अधिक क्षमता वाले चिप्स, स्मार्ट कृषि, स्वास्थ्य सेवाओं, शिक्षा और छोटे उद्योगों के लिए किफायती AI उपकरणों पर विशेष ध्यान दिया जाए। साथ ही, छात्रों और युवाओं के लिए स्कूल व कॉलेज स्तर से ही AI, चिप डिजाइन और सेमीकंडक्टर निर्माण की व्यावहारिक शिक्षा और प्रशिक्षण उपलब्ध कराया जाए। इससे भारत में नवाचार, रोजगार और स्वदेशी तकनीक को बढ़ावा मिल सकता है।
1 week 5 days ago
Artificial Intelligence (AI) and semiconductors are becoming the foundation of the modern digital economy. India has a unique opportunity to use these technologies to strengthen self-reliance, create jobs and improve the lives of citizens.
India should promote indigenous semiconductor design, manufacturing, packaging and testing, while supporting startups and research institutions. Greater investment in AI and semiconductor education can create a skilled workforce and encourage young innovators.
AI can be used for agriculture, healthcare, education, disaster management, transportation and public services. Special focus should be given to Indian languages so that AI benefits people in rural and underserved communities.
At the same time, AI must be developed responsibly, with strong safeguards for privacy, cybersecurity, transparency and fairness. Energy-efficient chips and sustainable manufacturing should also be encouraged.
1 week 6 days ago
Dear honorable ministers,
Attached herein please find an architecture for closed loop engineering cybernetics implementation that combines FSO,Photonics, Phased arrays, XYZ with feedback loop from devices with a possibility of pixel transformers for objects to code translation for LCD/LED screens making observation & Interventions a bidirectional signal
(0.19 MB)
1 week 6 days ago
Jai Shriram, In view of the situation arising from serious apprehensions raised by all major contributors of IT services about the future of AI, where India’s techies provide the major services, it’s important that the government takes a proactive approach to addressing fears of the technology turning hostile to our society and the future of humanity. Apart from this subject I would like to point out that our internal petroleum reserves have to resourced to meet our needs urgently, as the situation is becoming worse day by day..
With all respect for your actions for the contributions to the nation and people.
Jai Hind.
Bhojarajan.
1 week 6 days ago
Jai Shriram, In view of the situation arising from serious apprehensions raised by all major contributors of IT services about the future of AI, where India’s techies provide the major services, it’s important that the government takes a proactive approach to addressing fears of the technology turning hostile to our society and the future of humanity. Apart from this subject I would like to point out that our internal petroleum reserves have to resourced to meet our needs urgently, as the situation is becoming worse day by day..
With all respect for your actions for the contributions to the nation and people.
Jai Hind.
Bhojarajan.
1 week 6 days ago
Jai Shriram, In view of the situation arising from serious apprehensions raised by all major contributors of IT services about the future of AI, where India’s techies provide the major services, it’s important that the government takes a proactive approach to addressing fears of the technology turning hostile to our society and the future of humanity. Apart from this subject I would like to point out that our internal petroleum reserves have to resourced to meet our needs urgently, as the situation is becoming worse day by day..
With all respect for your actions for the contributions to the nation and people.
Jai Hind.
Bhojarajan.
1 week 6 days ago
Greetings Sir,For a long time, India was known mostly for writing software. While our engineers built apps and tested programs, the actual computer chips were always made in other countries. We wrote the code, but someone else owned the hardware.Across tech labs in cities like Bengaluru, Chennai, and Hyderabad, Indian engineers are designing chips from scratch. Instead of trying to build the most expensive, ultra-tiny processors right away, they are focusing on practical needs. They are creating small, energy-smart AI chips that can work directly inside everyday devices—like smart farm sensors, electric scooters, and medical monitors—even without an internet connection.
At the same time, new chip factories and packaging plants are coming up in places like Gujarat and Assam. With AI tools helping designers test chips faster and cheaper, India can build high-quality hardware without needing decades of trial and error.
This shift is huge. When a country can make its own AI chips.
(0.03 MB)
1 week 6 days ago
Silicon Data Trust Idea: It is a national digital trust layer for India's semiconductor ecosystem. Its principle: nobody hands over their data, but everyone can prove their part of the story.
1. Data stays with its owner.
2. Only minimum necessary data is shared.
3. One common language.
4. Questions travel, data does not.
5. Privacy matched to sensitivity.
6. Tamper-proof record.
AI on Top: Once the data is connected, AI can do what is impossible today:
1. Anomaly detection
2. Graph intelligence
3. Explainable risk scores
Regulatory Portal: A regulator enters a chip or lot ID and sees origin, route, jurisdictions, compliance status, and risk score. No company's raw data is exposed.
Built-In Sustainability: The same network carries energy, water, and renewable-share data per batch. OEMs get verified Scope 3 numbers and fabs can contribute to benchmarks without revealing production volumes.
Impact: Government gets visibility and Industry gets low compliance cost.
(3.29 MB)
1 week 6 days ago
Good
Please
Log In
to submit a comment.