Top 10 Semiconductor Trends in 2026 | StartUs Insights
AI accelerators and custom silicon pull capex toward HBM-rich, chiplet/3D-packaged platforms, while 2-nm/angstrom nodes add PPA gains.
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AI Acceleration of Silicon Photonics Technology - ABC Stimulo Photonics [PDF]
AI accelerators and custom silicon pull capex toward HBM-rich, chiplet/3D-packaged platforms, while 2-nm/angstrom nodes add PPA gains.
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Taken together, the back-to-back moves show Nvidia pushing aggressively beyond GPUs into the plumbing that keeps large AI deployments
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French chip startup Arago has raised $26 million in seed funding to develop its light-based AI accelerator, codenamed Jef. The company aims to
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The EPIC Lab''s research on AI/ML hardware acceleration explores radically new computing substrates—silicon photonics, optical processing‑in‑memory, and
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NVIDIA and Coherent Corp. (NYSE: COHR) today announced a multiyear strategic agreement to advance the frontier of advanced optics
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Silicon photonics won''t matter in the datacenter “anytime soon,” according to Broadcom CEO Hock Tan. On the company''s Q4 2025 earnings call on Thursday, a financial analyst asked Tan
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About 70% of the fund are earmarked for R&D over the next five years, split evenly between optical interconnect technologies—such as advanced silicon photonics design and high
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Explore how silicon photonics improves AI data centers with optical connectivity, faster data transfer, and energy-efficient chip infrastructure for AI growth.
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A recent study published in IEEE Journal of Selected Topics in Quantum Electronics demonstrates a novel AI acceleration platform based on photonic integrated circuits (PICs), which
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Nvidia and Marvell will also collaborate on unspecified silicon photonics technology. Marvell recently bolstered its work in this space with the $3.25 billion acquisition of Celestial AI.
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A recent study published in the IEEE Journal of Selected Topics in Quantum Electronics introduces a promising alternative: an AI acceleration
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A photonic processor capable of running advanced artificial intelligence models with near-electronic precision is introduced, marking a substantial step towards post-transistor computing...
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Here, recent advances in intelligent photonics are presented from the perspective of the synergy between deep learning and metaphotonics, holography, and quantum photonics. This review
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At the Silicon Photonics Workshop co-organized by CEA-Leti and Soitec alongside ECOC 2025 in Copenhagen, Denmark, LightCounting CEO
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“AI has reinvented computing and is driving the largest computing infrastructure buildout in history,” said Jensen Huang, founder and CEO of NVIDIA. “Together with Lumentum, NVIDIA is
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Building optical neural network using waveguides i.e. Photonic Integrated Circuits (PIC)
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TSMC''s silicon photonics development is becoming increasingly important because the bottleneck in AI infrastructure is no longer just compute density, but also how efficiently data moves
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In the age of AI, software runs on intelligence with tokens generated in real time by AI factories for every interaction and every context,” said Jensen Huang, founder and CEO of NVIDIA.
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NVIDIA today unveiled NVIDIA Spectrum-X™ and NVIDIA Quantum-X silicon photonics networking switches, which enable AI factories to connect
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Here, we review our innovations of an energy-efficient and scalable silicon photonic platform serving as the underlying foundation for next-generation AI accelerator hardware.
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Deloitte''s 2026 global semiconductor industry outlook seeks to identify the strategic issues and opportunities for semiconductor companies and other parts of the
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Marvell designs custom silicon tailored for any application and offers the industry''s most comprehensive portfolio of interconnects and network switch products. From
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High-performance computing (HPC) environments, which require rapid data exchange between processors, leverage silicon photonics to achieve
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OFC 2025 saw increased interest in silicon photonics and co-packaged optics, driving innovation in #AI and optical networking.
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Olix is pitching a way to do AI chips that forgoes the need for HBM entirely using light-based (photonic) technology. Key takeaways: Efficiency: By using photonics, they are targeting drastically
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Deal links Marvell custom XPUs and networking with NVIDIA racks, while the companies also work on silicon photonics and AI-RAN for 5G/6G.
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By replacing electrical signals with light inside chips, the technology promises faster data movement and lower energy use, two factors that are becoming critical as AI workloads expand and...
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Watchlist of silicon photonics stocks: Co-packaged optics replacing electrical I/O to slash latency and power consumption in AI data centers.
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Multiple AI companies envision the use of integrated silicon photonics as the next natural evolutionary step for optical interconnects architecture targeting next
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