Artificial Intelligence (AI)

DALL·E 2023 10 27 16.27.35 Photo style 16 9 ratio. A minimalist material design representation of a semiconductor chip against a soft gradient background. Surrounding the chip
Semiconductor Strategic Sourcing Best Practices

Semiconductors are essential components for various industries, such as automotive, consumer electronics, telecommunications, and healthcare. However, the global semiconductor supply chain is facing unprecedented challenges due to high demand, limited capacity, geopolitical tensions, and environmental disruptions. As a result, many manufacturers are struggling to secure the chips they need for their products and operations. How…

GPU for AI: The Ultimate Acceleration Combo

Artificial intelligence (AI) is the science and engineering of creating machines and systems that can perform tasks that normally require human intelligence, such as vision, speech, reasoning, decision-making, and more. AI has been advancing rapidly in recent years, thanks to the availability of massive amounts of data, powerful computing hardware, and innovative algorithms and frameworks. One…

The Power of Generative AI and GPUs

Imagine if you could ask a computer to write an essay, compose a song, draw a picture, or design a product for you. Sounds like science fiction, right? Well, not anymore. Thanks to generative AI, a type of artificial intelligence technology that can produce various types of content from data, this is becoming a reality.

Accelerating AI Innovation with Semiconductor Technology

Artificial intelligence (AI) is transforming the world as we know it. From big data analytics and military equipment to facial recognition software and self-driving cars, AI applications are everywhere, creating new possibilities and challenges for various industries and domains. But what makes AI possible in the first place? The answer lies in semiconductor technology, the…

Generative AI for Semiconductor Manufacturing: Challenges and Opportunities

Semiconductor manufacturing is one of the most complex and competitive industries in the world. It requires constant innovation, high quality, low cost, and fast time to market. However, it also faces many challenges such as rising design complexity, shrinking feature sizes, increasing defect rates, and growing demand for new materials and products. How can semiconductor manufacturers overcome these challenges and seize new opportunities? The answer may lie in generative AI.

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Global FPGA Market Research Report 2022 to 2027

The global FPGA market is expected to grow at a compound annual growth rate (CAGR) of 14.20% from 2022 to 2027, reaching a value of USD 15.5 billion. This market is driven by increasing demand for high-performance computing, growing automation, and rising demand for low-power and high-speed data processing.