Insights From The AI Hardware & Edge AI Summit


By Ashish Darbari, Fabiana Muto, and Nicky Khodadad In today's rapidly changing technology landscape, artificial intelligence (AI) is more than a buzzword. It is transforming businesses and societies. From advances in scalable AI methodology to urgent calls for sustainability, the AI Hardware & Edge AI Summit recently held in London, sparked vibrant discussions that will determine the fu... » read more

On-Device Speaker Identification For Digital Television (DTV)


In recent years, the way we interact with our TVs has changed. Multiple button presses to navigate an on-screen keyboard have been replaced with direct interaction through our voices. While this has resulted in significant improvements to the Digital Television (DTV) user experience, more can be done to provide immersive and engaging experiences. Imagine you say, “recommend me a film” or... » read more

Securing AI Silicon


The importance of security in AI training/inference silicon is increasing in awareness. Over the past several months, I’ve noticed many questions in common from various parts of the microelectronic industry. In this blog post, I’ll share my thoughts on some of these most frequently asked questions. Firstly, people often ask if securing AI silicon is different from securing other types of... » read more

High-Level Synthesis Enables The Next Generation Of Edge AI Accelerators


AI is becoming pervasive. But the ever increasing complexity is a challenge for IoT systems. Achieving the highest levels of performance and efficiency in edge AI means going beyond software and off the shelf hardware. Bespoke hardware accelerators in FPGA or ASICs can deliver much higher performance while consuming less energy. Building these accelerators with High-Level Synthesis slashes desi... » read more

Security For AI And AI For Security


The aspect for AI was drastically changed after the introduction of ChatGPT from 2022. Even during 2010s, the question of whether the evolution of AI can overcome human’s logical thinking had been researched and developed (e.g., IBM Watson and Google AlphaGo). Now, a few years later from these results, everyone can experience the future potential of AI from the advent of generative AI. Major ... » read more

The Implications Of AI Everywhere: From Data Center To Edge


Generative AI has upped the ante on the transformative force of AI, driving profound implications across all aspects of our everyday lives. Over the past year, we have seen AI capabilities placed firmly in the hands of consumers. The recent news and product announcements emerging from MWC 2024 highlighted what we can expect to see from the next wave of generative AI applications. AI will be eve... » read more

AI Tradeoffs At The Edge


AI is impacting almost every application area imaginable, but increasingly it is moving from the data center to the edge, where larger amounts of data need to be processed much more quickly than in the past. This has set off a scramble for massive improvements in performance much closer to the source of data, but with a familiar set of caveats — it must use very little power, be affordable... » read more

Addressing The New Wave Of The IoT With Edge AI


Today, we are witnessing the exponential growth IoT is experiencing. Every second, 127 devices are getting connected with an expected forecast for 43 billion IoT devices by 2027. As this market grows and evolves, so does the demand for more sophisticated, powerful, energy efficient and accurate system solutions that can help enrich the way of life. Among the many crucial technologies enabling ... » read more

Preparing For An AI-Driven Future In Chips


Experts at the Table: Semiconductor Engineering sat down to discuss the impact of AI on semiconductor architectures, tools, and security, with Michael Kurniawan, business strategy manager at Accenture; Kaushal Vora, senior director and head of business acceleration and ecosystem at Renesas Electronics; Paul Karazuba, vice president of marketing at Expedera; and Chowdary Yanamadala, technology s... » read more

AI Races To The Edge


AI is becoming increasingly sophisticated and pervasive at the edge, pushing into new application areas and even taking on some of the algorithm training that has been done almost exclusively in large data centers using massive sets of data. There are several key changes behind this shift. The first involves new chip architectures that are focused on processing, moving, and storing data more... » read more

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