tag: AI

The Coming Breakup Between AI And The Cloud
By Sharad Chole - 09 Apr, 2026 - Comments: 0

For a decade, cloud AI has felt inevitable. It powers our voice assistants, photo libraries, recommendation engines, and a growing list of “smart” features we barely notice anymore. Yet beneath the convenience is a fragile dependency: if your connection stutters, your intelligence does too.​ We rarely question this arrangement, but we should. As models grow larger and expectations grow... » read more

A New Era For Co-Processing
By Brian Bailey - 09 Apr, 2026 - Comments: 0

Key Takeaways: There is no single processor capable of executing everything efficiently, meaning that multiple processors are required. Maximum efficiency is gained by minimizing the movement of data. Architects must maximize efficiency for today's workloads, while also adding enough flexibility to handle tomorrow's. New processor architectures are rapidly evolving thanks to... » read more

Rethinking Robotics Reinforcement Learning: A Practical Humanoid Training Workflow
By Odin Shen - 09 Apr, 2026 - Comments: 0

Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity simulation is a resource-intensive workflow that runs in the data center. What if that workflow could run on a single workstation? In this blog post, we explore a complete robotics pipeline bu... » read more

Redefining AI Inference With New Silicon Architecture
By Tanushri Shah - 09 Apr, 2026 - Comments: 0

AI inference is rapidly becoming the largest and most demanding segment of the AI market, but the cost of running these workloads continues to be a major challenge. VSORA, a fabless semiconductor company, is tackling this problem head-on with a fresh approach to high‑performance AI processing and a deep collaboration with Cadence. VSORA develops advanced AI chips that dramatically reduce t... » read more

State Of The Market For Edge Silicon
By Ed Sperling - 08 Apr, 2026 - Comments: 0

The explosion of data and the rapid ramp of AI is causing significant changes in how chips are architected. At the edge, the key metrics are power, latency, and performance, but those can vary significantly by application and by workload. Steve Roddy, chief marketing officer at Quadric, talks about the need to balance performance and efficiency with flexibility for different applications, what ... » read more

Breaking The Legacy Trap: How Semiconductor Executives Can Accelerate AI Adoption And Transform IT Applications At The Same Time
By Christophe Begue - 07 Apr, 2026 - Comments: 0

The semiconductor industry is facing a strategic paradox. AI has rapidly moved from experimental technology to a competitive necessity promising faster yield improvement, smarter supply chain decisions, and autonomous factory operations. Yet the very systems that semiconductor manufacturers depend on to run their fabs, manage their supply chains, and serve their customers were built for a diffe... » read more

Platform-Led AI Analytics for the Semiconductor Ecosystem
By PDF Solutions - 07 Apr, 2026 - Comments: 0

Abstract: Semiconductor manufacturers face a mounting data crisis: modern fabrication facilities generate petabytes of complex, siloed data, yet less than 5% of it is typically used in analytics. Traditional business intelligence tools lack the scalability to handle datasets with millions of parameters, leaving critical yield and quality insights untapped. In this presentation we outline a c... » read more

Harnessing Digital Twins And AI/ML For Smarter Semiconductor Test Optimization
By Vincent Chu - 07 Apr, 2026 - Comments: 0

As semiconductor devices become increasingly complex, the challenge of testing them efficiently and accurately grows in parallel. Traditional testing methods—rooted in static test plans—often fall short in dealing with the nuances of today's advanced integrated circuits (ICs), especially in high-volume manufacturing environments. In response, the industry is exploring real-time, data-dri... » read more

AI Demand Resets Memory Market Priorities, Tightening NOR Flash Availability
By Emma Sloniker - 02 Apr, 2026 - Comments: 0

The memory sector is entering a major turning point as the industry adjusts to what many now call the AI memory supercycle. Although most headlines focus on high bandwidth memory (HBM) and advanced NAND fueling the rapid expansion of AI data centers, a quieter but important consequence is emerging: shifts in production priorities are beginning to affect the supply of NOR flash across a wide ra... » read more

Agent Card Poisoning: A Metadata Injection Vulnerability In The Systems Using Google A2A Protocol
By Kumar Aditya - 02 Apr, 2026 - Comments: 0

Modern multi-agent systems built on the Google A2A protocol enable dynamic discovery and delegation between autonomous agents through structured metadata known as agent cards. These cards describe capabilities, endpoints, and operational details that the host agent uses to plan task delegation. However, when agent cards are injected directly into an LLM’s reasoning context without strict boun... » read more

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