Inviting Ideas on AI and Semiconductors

Respected sir, Basic and Advanced purpose required efficient low power consumption RISC based Micro controller and Microprocessor. These Controller are used in AI soft computing Modelling (classification and prediction application for advanced algorithm CNN) and real time AI enable system. In development phase highly problem occur memory side and processing Side, when any time to execute AI system and model. So Sir In my suggestion New possibility found to developed AI based RISC processor with low power consumption and high speed.

Companies like Micron and Kaynes have already started their work. This shows that India's Semicon 2.0 is not just a plan on paper, but a real project happening on the ground. By setting up advanced testing and packaging factories in Sanand, these leading companies are proving that India has the capability to manufacture chips. This success will encourage other global companies to bring their business to India. Supported by strong government help in raw materials, chip designing, and training local students, the success of Micron and Kaynes lays a strong foundation. It will help India become independent and a major player in the worldwide electronics market.

Respected Sir, Namestay.Scientifc development & Spirituality must go simultaneously.Presently, ethical index of country is poor.Ethical governance & spiritual living be given top priority as a topic,in foundation/orientation courses, workshops, seminars, meetings etc.Performance of political executive & bureaucracy be assessed on improvement in ethical governance & spiritual living.It will enhance involvement of intellectuals in scientific & R& D sector.Without this we are in myth.Regards

Respected Sir, Namestay.Devlopment in AI & semiconductor is new future in technology.R&D , investment is most needed.Ethical governance & Spiritual living is must for Vikasit Bharat & Sustainable living.Ethical governance & spiritual living is to be integrated with development in different sectors.There are adulterations in govt.construction sector,foods, medicines,crimes,road accidents, inequality,Cancers(Tobacco & Liquor), mental health issues, Ethical governance & spiritual living is solution

If govt can provide us FPGA boards to me and my team, we can demonstrate camera image signal processing engine IP all made in India. Their is requirement of indigenous camera IP, currently it's being imported from china. This can be scaled to AI SoC which can support more than 200 ISP. This has application in surveillance system in big factories and hotel industry. Nevertheless traffic management and defence sector can leverage our indigenous technology. I'm graduate from IIT BHU, varanasi in micro electronics and working with corporate but wanted to give back to nation.

NIDAN: AI-Native Debug Fabric for Indigenous RISC-V Cores There is a underused leverage point: AI making silicon DEBUGGABLE. Post-silicon bring-up of complex processor cores eats 40-60% of dev time - engineers manually correlate JTAG/DTM trace dumps against pipeline stalls, replay storms and CDC violations, one waveform at a time. NIDAN embeds a lightweight AI anomaly-detector atop the standard RISC-V Debug Module (DM core, abstract-command engine, trigger module), trained on a growing indigenous "bug-signature" dataset drawn from India's homegrown processor programs. It watches live trace during bring-up, flags stall/hazard patterns against known root causes, cutting debug turnaround from days to hours. Strategic value: sovereign debug IP + a national bug dataset, cutting reliance on foreign EDA tools - strengthening Atmanirbhar Bharat at the costliest, least-automated stage of the chip lifecycle.

I put together a full submission-ready idea called PRAJNA-Mesh. The core idea, in one line: instead of using AI only to design chips (which is what almost everyone else is pitching), embed tiny always-on AI agents inside the chiplet interconnect itself so the wires connecting chips can predict, compress, reroute, and power-gate their own data traffic — attacking the exact bottleneck the industry is talking about right now (data movement between chiplets costing more energy than computation itself).

The core dynamic: it's a two-way loop. AI needs ever more compute, which pushes semiconductor innovation (new chip architectures, packaging, materials). At the same time, AI is now used to design semiconductors, shrinking design cycles that used to take months down to weeks. This aligns naturally with the Semicon India Programme, Atmanirbhar Bharat, and Viksit Bharat @2047 — India has a chance to be not just a chip consumer but a chip designer and innovator, especially in the AI-accelerator and edge-AI segments where the field is still relatively open.

I have outlined my ideas in the attached document. Please go through them.

AI-Powered Semiconductor Design Platform for India AI can transform semiconductors by drastically reducing the time, cost and expertise required to design specialised electronic systems and chips. An engineer could describe the required system in natural language. AI could analyse the requirement, search existing chips, IP, patents, research and reference designs, and determine whether existing components are sufficient or custom silicon is required.It could propose architectures, select components/IP, provide implementation guidance, generate RTL/firmware, create verification plans and optimise for power, performance, area and cost. It could also guide prototyping, fabrication and testing.Such a platform could enable startups, MSMEs and universities to develop specialised electronics with much smaller teams.The goal is not to replace semiconductor engineers, but to multiply their capabilities and make semiconductor innovation faster, cheaper and accessible to many more innovators