Research Bits: Nov. 4


Diffusive memristor for artificial neurons Researchers from the University of Southern California, University of Massachusetts, University of California Los Angeles, Syracuse University, and the Air Force Research Laboratory developed artificial neurons that replicate the complex electrochemical behavior of biological brain cells. “Our existing computing systems were never intended to pro... » read more

LPDDR6: Not Just For Mobile Anymore


LPDDR memory has been almost synonymous with mobile devices, but starting with the new LPDDR6 specification released in July 2025 by JEDEC, it will begin showing up inside of data centers, as well, early next year. The key factors in various flavors of DRAM are bandwidth, capacity, and cost. HBM is the fastest, but it's also expensive, and it requires a 2.5D or 3.5D packaging approach. GDDR is ... » read more

Small Vs. Large Language Models


The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal for small language models (SLMs) — roughly 10 billion parameters or less, compared to more than a trillion parameters in the biggest LLMs — was to leverage them exclusively for inferencing. In... » read more

Efficiency Defines The Future Of Data Movement


For decades, chip performance was measured by how much raw compute could be packed onto a die. However, that equation has changed. Moving data across a system-on-chip (SoC) now consumes more energy than the computations it performs. Efficient data movement has become a significant challenge for next-generation SoC designs. AI workloads are multiplying, hyperscale data centers are approaching po... » read more

Unlocking Clarity: Keyphrase Trees Bring Structure To AI Text Analysis


By Amr Hegazy, Mohamed Abdelkarim, and Reem El Adawi In the vast digital landscape of information, from intricate design specifications to extensive patent literature and complex verification reports, extracting meaningful insights often feels like searching for a needle in a haystack. This challenge is particularly acute in the semiconductor industry, where critical details are buried with... » read more

Enabling The Future: Heterogeneous Integration From Connected Devices To Data Centers


The digital landscape is evolving at an unprecedented pace. From smartphones and wearables to autonomous vehicles and hyperscale data centers, the demand for faster, smarter, and more efficient electronics is reshaping the semiconductor industry. At the core of this transformation is heterogeneous integration—the convergence of multiple technologies, functions, and components into unified sys... » read more

Powering Efficiency: AI Transforms IC Manufacturing As ICs Fuel AI


The push to grow today’s $500 billion-plus semiconductor industry to $1 trillion in annual revenue is challenging every aspect of the broader supply chain to embrace AI. Artificial intelligence is transforming the way fabs are architected and run, how devices are manufactured, and how server farms are constructed going forward. At the same time, all of this is being enabled by advancements... » read more

The Opportunities And Challenges Of FOPLP Technology


Artificial intelligence (AI) has emerged as a major catalyst for innovation and advancement. The growing demand for AI computing power is driving heterogeneous integration toward larger packaging sizes, sparking increased interest in Fan-out Panel Level Package (FOPLP) technology. This article explores ASE’s practices and developments in this area, delving into the technical intricacies and e... » read more

Photonics as a Carbon-Sustainable Solution for Next-Gen AI Hardware (Boston Univ., NY CREATES, Lightmatter, Cornell Tech)


A new technical paper titled "Photonics for sustainable AI" was published by researchers at Boston University, NY CREATES, Lightmatter and Cornell Tech. Abstract "The rising computational demands of Artificial Intelligence (AI) are driving a rapid surge in carbon emissions from the Information and Communications Technology (ICT) sector. Traditional CMOS-based computing is reaching its scali... » read more

AI Bubble Or Boom?


Are we in an AI bubble? Parallels are being drawn to the dot.com boom/bust of 1999-2000. In the dot.com bust, many high-tech companies valuations soared up 10X, then deflated. The peak P/E ratio for the Nasdaq Composite was 200! Remember Webvan? It went public November 1999 with an $8 billion valuation, then filed for bankruptcy 19 months later. It was much speculation without profits or gro... » read more

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