AI tools step into chip design to cut complexity

AI tools step into chip design to cut complexity

New EDA approach uses generative and agentic AI to speed semiconductor and PCB development New EDA approach Artificial intelligence is moving deeper into semiconductor design, with a new electronic design automation (EDA) solution aiming to simplify chip development while accelerating time-to-market. – Advertisement – The latest system by Agileo Automation integrates generative and agentic AI…

Lessons in mastering data complexity for scalable AI

Lessons in mastering data complexity for scalable AI

In an increasingly technology-driven world, business leaders face growing pressure to deliver on the promise of artificial intelligence. Yet, many initiatives stall, with businesses struggling to move from complex and siloed data environments to trusted, scalable AI systems that deliver real impact.  We know that a staggering 95% of corporate generative AI projects fail to deliver, and…

Jensen Huang: Nvidia’s evolution into an AI factory, the complexity of AI data centers, and the transformative potential of Physical AI

Jensen Huang: Nvidia’s evolution into an AI factory, the complexity of AI data centers, and the transformative potential of Physical AI

Key takeaways Disaggregated inference optimizes AI processing by distributing tasks across multiple GPUs. Nvidia has transitioned from a GPU company to an AI factory company. AI data centers require significant storage and processing capabilities for diverse models. Three types of computers are essential in AI: training, evaluation, and edge applications. The telecommunications industry is evolving…