Exploring the Future of Compute 🚀
As I embark on an outreach exercise focused on the future of compute, I am eager to engage with researchers and innovators within the deep tech community. My journey will delve into critical areas on the future of materials, transistors, photonics, AI and a lot more in-between!
Transistors and Semiconductors
As we approach the end of Moore's Law, we face mounting issues with energy consumption and heat dissipation. The relentless push for more powerful chips has led to increased energy demands, raising concerns about sustainability and efficiency. The intricate balance of performance, power, and thermal management is becoming ever more crucial as we seek innovative solutions to these pressing challenges.
The Future of AI Beyond LLMs
While LLMs have made remarkable strides, they are not without limitations. Extensive training periods, energy requirements, models that struggle with reasoning and common sense. As we look ahead, the next evolution in AI promises systems that are more efficient, potentially industry-specific, capable of a level of understanding, and with more sophisticated interactions.
What’s Next❓
I am excited to explore these themes further and connect with those who are passionate about shaping the future of compute. If you are working on innovative deep tech projects or IP, I would love to hear from you!
🔗 Feel free to reach out, share your thoughts, or tag anyone who might be interested in joining the conversation!
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