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
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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?
1 day 13 hours ago
Neuromorphic and Quantum Computing: Emerging paradigms like neuromorphic chips that mimic brain function and quantum semiconductors could revolutionize AI capabilities with new forms of processing.
Security and Trust: Embedding robust hardware-level security into AI chips is becoming vital to safeguard data and ensure ethical AI deployment.
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1 day 13 hours ago
AI in Chip Manufacturing: AI-driven automation and predictive analytics optimize semiconductor fabrication, boosting yield, reducing defects, and shortening time-to-market.
Edge AI and Low-Power Chips: Growing demand for AI in edge devices drives development of semiconductors that balance performance with energy efficiency, enabling smart IoT, autonomous vehicles, and mobile AI.
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1 day 13 hours ago
Advanced Semiconductor Architectures: Developments such as 3D chip stacking and chiplet designs enhance processing power and bandwidth, crucial for handling AI's increasing data and computational needs.
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1 day 13 hours ago
AI-Specific Hardware: Traditional CPUs are giving way to specialized AI chips like GPUs, TPUs, and NPUs, designed to accelerate machine learning tasks efficiently, improving speed and power consumption.
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