system on a chip
PulseAugur coverage of system on a chip — every cluster mentioning system on a chip across labs, papers, and developer communities, ranked by signal.
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Microsoft details Maia 200 AI accelerator for Azure data centers
Microsoft has unveiled details about its Maia 200 AI accelerator, designed for its Azure data centers. This second-generation chip, built on TSMC's 3nm process, features a 750W TDP and utilizes a Software Defined Local …
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Linux `tac` command offers powerful log analysis for security and DevOps
The `tac` command in Linux, often overlooked as simply `cat` spelled backward, is a powerful tool for log analysis and incident response. By reversing the order of log entries, `tac` places the newest events at the top …
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Cisco launches Instant Attack Verification AI for SOC investigations
Cisco has introduced Instant Attack Verification (IAV), an agentic AI tool designed to assist Tier-1 and Tier-2 Security Operations Center (SOC) investigations. This new system aims to automate and expedite the process …
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AI in Security Operations Depends on Data Quality
The success of AI in security operations hinges on the quality of data it processes. As artificial intelligence systems are increasingly integrated into Security Operations Centers (SOCs) to automate threat triage and a…
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Semiconductor test demand surges, suppliers revise market estimates upwards · 6 sources tracked
The semiconductor test equipment market is experiencing a surge in demand, driven by both System on a Chip (SoC) and memory sectors. Major suppliers like Teradyne and Advantest are revising their market size estimates u…
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Qualcomm SoC: Measuring STFT Compute Paths for Audio AI
This article explores five different methods for computing the Short-Time Fourier Transform (STFT) on a Qualcomm System on a Chip (SoC), specifically the Snapdragon SM8650. It details implementations using the CPU, a de…
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Low-cost UWB radar estimates breathing rates using CNN for remote healthcare
Researchers have developed a low-cost system using IEEE 802.15.4z compliant IR-UWB hardware to estimate human respiration rates for remote healthcare applications. A convolutional neural network (CNN) was trained to pre…
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New method uses And-Inverter Graphs for scalable hardware Trojan detection
Researchers have developed a novel method for detecting hardware Trojans in large-scale System-on-Chip (SoC) designs by representing them as And-Inverter Graphs (AIGs). This approach utilizes knowledge graph embeddings …
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CISOs must adopt preemptive threat management to counter sophisticated cyber adversaries
The traditional cybersecurity model of detect, respond, and recover is becoming obsolete due to the increasing sophistication and patience of nation-state actors and ransomware groups. CISOs must shift towards preemptiv…
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AI Security: Offensive Agents Scale with Compute, Defensive Agents Need Tool Use
A new preprint on arXiv suggests that while offensive AI security agents improve with increased computational power, defensive security operations center (SOC) tasks do not benefit as much from raw reasoning. The resear…
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Anthropic's Claude integrated into SOC detection tools with mixed architectural review
A cybersecurity professional met with a Fortune 50 CISO to discuss the integration of AI into Security Operations Centers (SOCs). The CISO successfully connected Anthropic's Claude model to detection tools, yielding pos…
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Executives demand CTI function build order as AI-driven breaches mount
Building a robust cyber threat intelligence (CTI) function requires executive buy-in and a clear understanding of its strategic value, rather than treating it as a mere security operations center appendage. Recent surve…
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Samsung Galaxy Z Flip 8 Leak Hints at Minor Upgrades and Price Hike
A leaked report suggests that the upcoming Samsung Galaxy Z Flip 8 will feature minimal upgrades, primarily limited to a new System-on-Chip (SoC). Despite these minor changes, the device is rumored to come with a price …
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SK hynix, TetraMem debut energy-efficient edge AI chip with performance limitations
SK hynix and TetraMem have partnered with the University of Southern California to develop an experimental memristor-based in-memory computing system-on-chip (SoC) for edge AI devices. This SoC aims to enhance energy ef…
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Qualcomm integrates AI compute into accelerators, researchers reduce AI math burden
Qualcomm is proposing a new approach to AI infrastructure by integrating compute capabilities directly into their AI accelerators. This design aims to overcome the memory wall by placing computation closer to the data. …
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Apple eyes 1.4nm chips by 2028; AI firm Zibianliangren valued over $2.7B
Apple is reportedly exploring the use of 1.4nm process technology for its flagship smartphone System-on-Chips (SoCs) as early as 2028. This potential shift could mean that chips manufactured using the 2nm process might …
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SPARX framework accelerates CNNs on edge RISC-V chips
Researchers have developed SPARX, a framework for accelerating Convolutional Neural Networks (CNNs) on edge devices. This system integrates approximate computing with security and privacy features within a RISC-V System…
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AI to Reshape Security Operations Centers, Emphasizing People Strategy
Artificial intelligence is poised to significantly alter security operations centers (SOCs), shifting their structure from a pyramid to a diamond shape with fewer junior roles and a stronger mid-tier. This evolution nec…
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Multimodal AI enhances cybersecurity operations by integrating diverse data inputs
Multimodal AI is emerging as a valuable tool for cybersecurity operations, capable of processing diverse data types like text, screenshots, and logs to connect disparate pieces of evidence. This technology aims to augme…
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AI struggles to improve SOC performance despite alert reduction
Despite advancements in AI for security operations centers (SOCs), many still struggle with high mean time to resolution (MTTR), analyst burnout, and missed attacks. Current AI deployments excel at correlating alerts an…