Tin-based Perovskite and Organic Additives Boost Memory for Devices

  • News: DEEPX Signs 2nm Process Agreement with Samsung Foundry
  • Launches: New AI Model Can Help Extend Life and Increase Safety of Electric Vehicle Batteries
  • Charts: AI and 300mm Demand Drive 2025 Silicon Wafer Growth
  • Research: Tin-based Perovskite and Organic Additives Boost Memory for Devices
  • Insight: Best Options For Using AI In Chip Design

News

DEEPX Signs 2nm Process Agreement with Samsung Foundry
DEEPX has entered into a groundbreaking agreement with Samsung Foundry to develop the world’s first on-device generative AI chip, the DX-M2, utilizing advanced 2nm technology. This partnership aims to revolutionize generative AI applications by providing ultra-low-power solutions for devices, with mass production anticipated in 2027.

DEEPX Agreement


Launches

New AI Model Can Help Extend Life and Increase Safety of Electric Vehicle Batteries
Researchers at Uppsala University have developed a new AI model that significantly improves the accuracy of battery aging predictions, potentially extending the lifespan and enhancing the safety of electric vehicle batteries. This breakthrough could help optimize battery management systems, reducing waste and improving resource efficiency.

AI Model for EV Batteries


Charts

AI and 300mm Demand Drive 2025 Silicon Wafer Growth
According to TECHCET, the silicon wafer market is poised for significant growth in 2025, driven by AI demand and an increase in 300mm wafer shipments. This report highlights a forecast of a +5.4% growth in shipments and a +6.7% rise in revenues, illustrating the crucial role of advanced materials in the semiconductor industry.

Silicon Wafer Growth


Research

Tin-based Perovskite and Organic Additives Boost Memory for Devices
A new study has shown that incorporating porphyrin-like additives into tin-based perovskite transistors can enhance their performance and stability. This research opens up possibilities for non-toxic alternatives in electronic devices, promising advancements in energy-efficient memory solutions.

Tin-based Perovskite Research


Insight

Best Options For Using AI In Chip Design
Experts from the semiconductor industry discuss the transformative impact of AI on chip design processes. They highlight how AI can optimize workflows, improve efficiency, and lead to the development of domain-specific solutions tailored for various applications.

AI in Chip Design


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