Humanoid robots are rapidly transitioning from the sequestered confines of research laboratories to the high-stakes…
Tag: memory
Cybersecurity & Digital Privacy
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DDRop: Researchers Uncover Critical Hardware Vulnerability Exposing Confidential Computing to Memory Write-Dropping Attacks
A team of security researchers from KU Leuven, ETH Zurich, Durham University, and Google has…
AI & Machine Learning
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Designing Reliable Memory Systems for AI Agents: A Blueprint for Architectural Stability
In the rapidly evolving landscape of artificial intelligence, the transition from simple chatbots to autonomous…
Semiconductors & Hardware
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CHIPSMORE: Compute-in-Interconnect and -Memory Chiplets for Multi-Mode Multi-Request LLM Inference Acceleration.
Researchers at the National University of Singapore (NUS) have unveiled a breakthrough in semiconductor architecture…
Semiconductors & Hardware
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Recent Advancements in Semiconductor Research Highlighting Near-Memory AI Acceleration 3D DRAM Architecture and Monolithic Photonic Integration
The global semiconductor landscape is currently undergoing a transformative shift as researchers and industry leaders…
Semiconductors & Hardware
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Inference Accelerator that Integrates Compute-in-Interconnect and Memory to Mitigate the Memory Wall (NUS)
The research paper, authored by Yue Jiet Chong, Yimin Wang, Wei Zhang, and Xuanyao Fong,…
Semiconductors & Hardware
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The Shift to Next-Generation Non-Volatile Memory and the Race to Replace Embedded Flash on Advanced Process Nodes
The semiconductor industry is currently navigating a pivotal transition in memory architecture as traditional embedded…
AI & Machine Learning
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Choosing the Right AI Agent Memory Strategy: A Decision-Tree Approach
The efficacy and intelligence of an artificial intelligence agent hinge significantly on its ability to…
AI & Machine Learning
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The Dual Imperatives of Context and Memory Engineering in Agentic AI Systems
As artificial intelligence agents transition from isolated tasks to intricate, multi-session workflows, a pervasive challenge…
Semiconductors & Hardware
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Near-memory Dequantization Architecture In Custom HBM for LLM inference (SK hynix)
The Evolution of the Memory Bottleneck in AI Inference The rapid advancement of generative AI…
