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Advanced Electronics Packaging Digest

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Stay ahead of the technologies shaping the future of electronics with our latest newsletter, Advanced Electronics Packaging Digest. Get expert insights on advanced packaging, materials, and system-level innovation, delivered straight to your inbox.

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Global Smartphone Shipments Drop Record High of 22% in Q3 2026 as the Memory Crisis Hits Hard

10/15/2026 | IDC
The global smartphone market shrank 22.0% year-on-year to 255.3 million units in the third quarter of 2026 (3Q26), according to the preliminary data from IDC Research (IDC) Worldwide Quarterly Mobile Phone Tracker.

Scale-Up: From Monolithic Silicon to Advanced Packaging

10/15/2026 | Chetan Arvind Patil, Marvell Technology
This is the first in a three-part series exploring scale-up, scale-out, and scale-across in advanced packaging. Scale-up focuses on increasing compute capability, memory capacity, and communication bandwidth within tightly integrated computing systems. Scale-out expands computing capacity by connecting multiple servers, compute nodes, and racks through high-speed networks. Scale-across focuses on integrating and coordinating diverse computing resources, technologies, and workloads across data centers to improve overall efficiency and resource utilization.

Qnity Expands Thermal Management Solutions for AI Memory Cooling

10/13/2026 | BUSINESS WIRE
Qnity Electronics, Inc., a premier technology solutions leader across the semiconductor value chain, introduced two new advanced memory cooling solutions leveraging Laird™ Graphite-over-Foam (GOF) and Laird™ Thermal Interface Material (TIM) technologies.

HBM, Advanced Packaging and Cooling Market Set for Growth Through 2037

09/30/2026 | Globe Newswire
High-bandwidth memory (HBM) and advanced packaging materials are becoming critical components of the artificial intelligence semiconductor supply chain.

Dongguk University Researchers Develop Battery-Free Flexible Device for Neuromorphic Sensing

09/28/2026 | PRNewswire
Neuromorphic devices, which are designed to emulate aspects of biological neural networks, are promising candidates for developing low-power and intelligent sensing technologies, including wearable applications.
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