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Artificial Intelligence
VSORA AI Processor Raises $46 Million to Fast-Track Silicon Development
We stand on the cusp of an era defined by ubiquitous intelligence—a stone’s throw from a tidal wave of AI-powered products underpinned by next-generation silicon. Realizing that future demands nothing less than a fundamental rethink of how we design semiconductors… Read More
Intel, long a leader in semiconductor manufacturing, is on a determined journey to reclaim its technological leadership in the industry. After facing significant challenges in recent years, the company is making a concerted effort to adapt and innovate, with a clear focus on AI-driven technologies, advanced packaging solutions,… Read More
Koji Motomori is a seasoned business leader and technologist with 30+ years of experience in semiconductors, AI, embedded systems, data centers, mobile, and memory solutions, backed by an engineering background. Over 26 years at Intel, he drove strategic growth initiatives, securing $2B+ in contracts with OEMs and partners.… Read More
For decades, speculative execution was a brilliant solution to a fundamental bottleneck: CPUs were fast, but memory access was slow. Rather than wait idly, processors guessed the next instruction or data fetch and executed it ‘just in case.’ Speculative execution traces its lineage back to Robert Tomasulo’s work… Read More
LLMs are already simplifying assertion generation but still depend on human-generated natural language prompts. Can LLMs go further, drawing semantic guidance from the RTL and domain-specific training? Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO… Read More
At the recent IPSoC Conference in Silicon Valley, Aparna Tarde gave a talk on the importance of Next-Gen Interconnects to scale AI infrastructure. Aparna is a Sr. Technical Product Manager at Synopsys. A synthesis of the salient points from her talk follows.
The rapid advancement of artificial intelligence (AI) is fundamentally… Read More
We all know semiconductor design is getting harder. Much harder when you consider the demands of AI workloads and heterogeneous integration of many chiplets in a single package. This class of system demands co-optimization across the entire design flow. For example, functional verification, thermal analysis, signal and power… Read More
The world of AI algorithms continues to advance at a furious pace, and no industry is more dependent on those advances than automotive. While media and analysts continue to debate whether AI will deliver value in business applications, there is no question that it adds value to cars, in safety, some level of autonomous driving, … Read More
In an era defined by complex chip architectures, ever-shrinking technology nodes and very demanding applications, Silicon Lifecycle Management (SLM) has become a foundational strategy for optimizing performance, reliability, and efficiency across the lifespan of a semiconductor device. Central to effective SLM are Process,… Read More
The worldwide TSMC 2025 Technology Symposium recently kicked off with the first event in Santa Clara, California. These events typically focus on TSMC’s process technology and vast ecosystem. These items were certainly a focus for this year’s event as well. But there is now an additional item that shares the spotlight – packaging… Read More
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RISC-V Virtualization and the Complexity of MMUs