tag: AI

Ensuring AI Reliability: Mitigating Silent Data Corruption Risks
By Noam Brousard - 12 May, 2026 - Comments: 0

Silent Data Corruption (SDC) is an industry challenge affecting data centers worldwide with increasing frequency. This phenomenon stems from untraceable hardware failures that make detection notoriously difficult. SDCs don’t leave any record in system logs or trigger exception mechanisms. The corrupted data they produce can propagate unnoticed, causing cascading failures that often demand ext... » read more

The AI Server Challenge: Testing Power At Scale
By Aik-Moh Ng - 12 May, 2026 - Comments: 0

Artificial intelligence is most often framed as a story of compute advancements. Faster GPUs, denser accelerators, and advanced process nodes. But behind every AI workload, the most fundamental constraint is power. Fig. 1: AI server market. Source: Grand View Research As AI servers scale to meet data center demand, power delivery is becoming one of the most critical and complex engine... » read more

Building AI Without Guardrails
By Ann Mutschler - 07 May, 2026 - Comments: 0

Key Takeaways: AI governance is broadly recognized as essential, but today it remains fragmented, largely aspirational, and lacking enforceable mechanisms for accountability, runtime assurance, and global interoperability. Because AI innovation is advancing too quickly for governments or standards bodies to keep pace, practical AI governance is most likely to emerge first from high‑ri... » read more

Beyond the Clinic: A Blueprint For Developing Reliable, Edge AI-Enabled Medical Devices
By Neeta Shenoy - 07 May, 2026 - Comments: 0

In a quiet farmhouse in rural Utah, hundreds of miles from the nearest city, a pregnant mother wakes up and waits for a kick that doesn’t come. In this part of the country—one of the many "medical deserts" where 30% of counties lack a single gynecologist—the nearest hospital is a 500-mile journey. Usually, this moment of silence leads to a desperate phone call to an HMO where a nurse asks... » read more

Hardware From Specifications Using AI
By Brian Bailey - 06 May, 2026 - Comments: 0

There is a lot of excitement these days surrounding the idea that AI could make it possible to go from a specification to a design with absolutely no hardware skills. Well, get in line, because this is the umpteenth potential technology that was going to make that possible. Don't get me wrong, it just might do it, but will this be an implementation that is reliable, have decent performance, ... » read more

Using AI To Monitor Dashboards In Chips And Systems
By Ed Sperling - 06 May, 2026 - Comments: 0

Key Takeaways: New types of dashboards are being used in conjunction with AI to make sense of large quantities of data. These dashboards can be used to quickly identify and fix power and heat-related problems, such as hotspots or voltage droop. Future dashboards will likely be much more customizable for different users or applications. Chipmakers are starting to use AI to ma... » read more

Research Bits: May 5
By Jesse Allen - 05 May, 2026 - Comments: 0

AI power prediction Researchers from MIT and the MIT-IBM Watson AI Lab developed a prediction tool that can quickly tell data center operators how much power will be consumed by running a particular AI workload on a certain processor or AI accelerator chip. It can be applied to a wide range of hardware configurations. The lightweight estimation model captures the power usage pattern of a GP... » read more

Designing Chips In The Context Of Rapidly Evolving AI
By Ann Mutschler - 04 May, 2026 - Comments: 0

Key Takeaways: Agentic edge AI drives long-lived, tool-mediated loops with variable demands for compute, tokens, and memory. Edge PPA is dominated by memory hierarchy and data movement, forcing tight feature triage and robust RAS. Rapid model churn (multimodal, MoE, new formats) requires programmable, headroom-rich compute, interconnect, and runtime. Experts At The Table: Ch... » read more

Transforming DRC Closure At Advanced Nodes
By James Paris - 30 Apr, 2026 - Comments: 0

If you’re working on SoCs at 2 nm or below, you know DRC is a different beast these days. Early in the design, it’s common for DRC runs to dump hundreds of millions—or even billions—of violations at your feet. And that’s when everything is changing fast: block interfaces aren’t fixed and constraints are shifting with every new iteration. Making sense of these massive result sets, fi... » read more

Creating Agentic EDA Methodologies
By Brian Bailey - 30 Apr, 2026 - Comments: 1

Key takeaways Agentic methodologies need to be able to reason across multiple data formats and abstractions. It is not clear how much data from previous designs is useful in new designs. Standards may help, but the lack of them may only impact cost. The relationship between tools and methodologies is bidirectional. Tools enable methodologies, and methodologies are dependent ... » read more

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