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Tutorial on how to set Microsoft Edge as a Default browser on Windows 11.

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Semiconductor manufacturing is running into a real physical wall, and this video breaks down the new technology that could disrupt two of the most important names in the chip world at the same time: ASML and Intel. We look at why shrinking transistors is getting absurdly difficult, how ASML’s EUV monopoly became the backbone of modern chipmaking, and why even EUV is now starting to hit serious limits at advanced nodes. Then we get into Directed Self-Assembly, or DSA, a bottom-up chemical patterning method that could help push chip manufacturing beyond what conventional lithography can do on its own. If you’re interested in ASML, Intel 14A, EUV lithography, DSA, advanced semiconductors, and the future of chipmaking, this video gives you the full picture. We also explore why this matters so much right now. The video covers ASML’s extreme ultraviolet machines, the cost and limitations of High-NA EUV, the physics problem of diffraction, stochastic noise, line edge roughness, and how block copolymers in Directed Self-Assembly can create much finer and cleaner patterns than lithography alone. It also explains why Intel is making a huge bet by combining High-NA EUV with DSA on its 14A process, while TSMC and Samsung are taking a more conservative path for now. This is not just a small process improvement. It is a completely different way of thinking about how chips get built. More importantly, this is not just a story about one lab concept. It is about a possible shift in the balance of power inside the semiconductor industry. If DSA works at scale, it could reduce defects, improve yield, and change the economics of next-generation chip production in a way that affects ASML’s machine roadmap, Intel’s comeback strategy, and the broader race with TSMC and Samsung. That is what makes this story so important, and why this may end up being one of the defining manufacturing technologies of the next few years. IN SHORT - The video discusses Moore's Law, a historical trend predicting the doubling of transistors in chips every two years, which has guided the semiconductor manufacturing industry for decades. We explore how this progress is now encountering physical limitations, making the chip manufacturing process increasingly complex and expensive. This shift highlights significant challenges in the continued advancement of cutting-edge technology and engineering.

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For over 50 years, engineers have dreamed of computing with light. Now, a startup called Neurophos claims it has finally solved the problem. Backed by Bill Gates, Microsoft, Bosch, Aramco Ventures, and other major investors, the company is developing optical processors that perform AI computations using photons instead of electrons. The promise is extraordinary: dramatically higher performance, far lower power consumption, and a potential solution to the energy crisis threatening the future of artificial intelligence. If Neurophos succeeds, the future of AI may not be built with electrons. It may be built with light. In this video, we explore: Topics 00:00 The Light That Computes – Neurophos' Optical AI Chip 00:40 The AI Energy Crisis and the Physics Wall 01:43 How AI Works: Matrix Multiplication, GPUs & Memory Bottlenecks 03:28 Neurophos' Breakthrough: Computing with Light 05:41 Neurophos vs NVIDIA: Performance and Efficiency Numbers 06:44 The Biggest Challenge: Can Optical Computing Replace GPUs? #AI #NVIDIA #Neurophos #OpticalComputing #ArtificialIntelligence #AI #ArtificialIntelligence #NVIDIA #Neurophos #OpticalComputing #Photonics #Semiconductors #Tech #FutureTech #MachineLearning #DeepLearning #DataCenters #Microsoft #BillGates #GPU #ChipTechnology #Innovation #Engineering #Computing #Technology