TechXchange: Generating AI

Generative artificial intelligence (AI) like chatbots are changing the way many use AI.
Related To: 
Jan. 1, 2025
3 min read

Key Highlights

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Generative AI is one type of artificial intelligence/machine learning (AI/ML) technology that has garnered a lot of interest — and money — because of its ability to be utilized by just about anyone with minimal training. It's based on large language models (LLMs) that accept text prompts from users who can generate a range of responses depending on the implementation from text to video. 

This TechXchange collects content curated by Electronic Design editors on this topic. New articles are added as they're posted on the site. 

More Electronic Design TechXchange Topics

TechXchanges are curated content by Electronic Design editors like this one on generative AI. They're updated as new articles are added to the sight. 

You can check out our list of TechXchanges as well as some that are related to generative AI and the data center.

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Check out the newest TechXchanges on Electronic Design
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Your starting point for latest articles on a range of electronic design topics.
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Data centers and cloud data centers employ a lot of hardware and software, much of which is specific to those environments. Designing these systems touches on a range of different...
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Dive into the complexities of designing and testing power delivery solutions for AI data centers.
Bosch
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Data traveling at the speed of light may be the future of connectivity and computing.

Generative AI and Edge Computing

Most people have used chatbots with their web browser utilizing cloud-based AI. That's not the only way it can be employed, though. These articles explore how artificial intelligence is being used on the edge. 

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Lauro Rizzatti breaks down the potential, deployment, and value of generative AI, along with misunderstandings and exaggerations to help debunk myths surrounding the technology...
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AI infusion amplifies engineer’s abilities and the systems capabilities as well as shortens the development time. Faster results, easier design, and flawless code is possible....
IQE
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Transforming "smart" devices into "intelligent" components via AI requires more than computational power. It will be enabled by other technologies, most of which rely on new materials...
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The increasing demands for generative AI at the edge call for new solutions that can achieve high performance within the low-power requirements for edge apps.
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The electronics industry can learn valuable lessons from how software engineers have integrated AI into their development workflows.

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Generative AI and Its Industrial Impact

This section examines the impact of generative AI technologies on engineering, employment, and creativity. The articles discuss its potential to reshape engineering roles, and its ethical implications in research and workplace automation. 

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AI is already disrupting the product planning and development process—and it’s only getting worse.
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Whether we like it or not, we need to deal with all sorts of machine-learning models, including generative AI.
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The rise of generative AI has been explosive, but unknowns remain. And what exactly are its capabilities? I took a deeper dive to find out.
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The population at large is enamored—and worried—about generative AI. Are you?
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ChatGPT stuns in jaw-dropping new statistics: The advent of artificial intelligence as it permeates the engineering field.
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Learn what’s in the forecast for generative AI this year and how it will impact the electronics industry.
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In our salary survey, we posed questions to our readers on the ways artificial intelligence may be impacting their profession.

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AI Hardware Acceleration and Infrastructure

These articles focus on the hardware innovations enabling AI at scale as well as those that fit into compact, embedded applications. They cover chips, modules, and boards optimized for AI workloads.

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Discover how SBCs with integrated AI processing power are bringing new capabilities to many industries.
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The Raspberry Pi AI Kit comes with an M.2 HAT+ and Hailo AI acceleration module capable of pushing 13 TOPS.
The Raspberry Pi AI Kit comes with an M.2 HAT+ and Hailo AI acceleration module capable of pushing 13 TOPS.
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Gain insight into the development boards leading the way in driving innovation as AI technologies ramp up across the industry.
Dreamstime and NVIDIA
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Reaching speeds of 8 PFLOPS, the new Superchip offers 3X more memory bandwidth and runs models 3.5X larger than the previous HBM3 version.
Intel
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The company’s next-gen AI silicon adds more accelerator cores, faster networking, and extra high-bandwidth memory.
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Silicon photonics, which combines optics and electronics, leverages decades of investment in silicon semiconductors to create photonic integrated circuits (PICs) that can manipulate...
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Rambus’ Lou Ternullo weighs in on generative AI fostering a new era of memory innovation and how the company’s PCIe 7.0 IP portfolio tackles emerging challenges in this space....

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Power Considerations for AI Data Centers

This section explores the infrastructure  and power considerations for data centers supporting generative AI and LLM applications. They highlight semiconductor materials like silicon carbide (SiC) and gallium nitride (GaN), and how energy-management technologies are adapting to the rising computational and thermal loads of next-generation AI systems.

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The massive data volumes generated by AI training requirements require a new approach to data-center power distribution to enable the highest possible levels of compute performance...
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Explore how SiC and GaN are redefining power-supply design to meet the growing demands of AI SoCs.
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Infineon's 8-kW reference design for data centers features Si, SiC, and GaN technologies to help quench AI’s thirst for power.
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Learn more about Toshiba’s star-delta switching topology for DC-DC converters, which eliminates the need for a transformer to step down a 48-V input to a 1-V output.
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Silicon photonics, which combines optics and electronics, leverages decades of investment in silicon semiconductors to create photonic integrated circuits (PICs) that can manipulate...

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Software, Test, and Tools

These articles examine how AI is reshaping electronic design automation (EDA), software engineering, and testing. 

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“To infinity and beyond” using only three states: −1, 0, 1.
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AI is transforming semiconductor design by automating tedious tasks, enhancing creativity, and enabling innovative chip architectures, all while addressing the growing workforce...
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The AI era is here, and a stronger wave of changes is coming, bigger than the internet or introduction of the computer. This article explores AI in daily applications and electrical...
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The convergence of AI and flexible, software-defined instrumentation is revolutionizing the test and measurement industry, offering efficient ways to analyze data and optimize...
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Give us your views about AI with respect to software tools and development.

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Applying Generative AI

These articles demonstrate real-world integration of AI technologies in applications such as robotics, automotive, and industrial systems. They cover everything from predictive maintenance and voice assistants to meteorological modeling.

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AI integration within robots changes everything about workflows, but it requires workforce retraining to mitigate job replacements.
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According to the company, its platform is the first to provide customers with voice-enabled access to a combination of real-time information domains and generative AI models like...
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Automotive AI Agent will help drivers navigate and search with in-vehicle assistants, delivering more natural and helpful interactions.
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The SAMI platform provides a natural-language chat function for manufacturing applications, allowing for efficient insight and smarter decision-making.
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This Q&A discusses how application design teams can integrate AI-driven digital health applications into their companies’ products, as well as the challenges associated with the...
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The digital-twin platform, Earth-2, uses AI and machine-learning models for improved weather predictions with enhanced visualizations.

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Insights and Opinions on Generative AI

Generative AI is having a major impact on lives and industry. This section addresses the hype and insights into generative AI and LLMs. 

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Although artificial intelligence is a significant technology advance, it also serves as a reminder of how technology disruption has impacted society in the past.
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Skepticism is a trait that can work in both directions. The bottom line, though, is to make the best effort to understand an issue as well as the sources of information.
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Will a chatbot help or hinder your embedded development work?
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Whether we like it or not, we need to deal with all sorts of machine-learning models, including generative AI.
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Electronic Design’s Editor Bill Wong weighs in on the DeepSeek announcement.
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Our intrepid, mostly analog editor takes a stab at AI and then tries translating a recent Electronic Design product writeup from Pirate-speak to plain English.
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Generative AI in the data center
AI data centers typically require hundreds of megawatts of power, and it continues to rise to the point where most power companies refuse to provide such capacity from the public...
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Humans have long used tools to extend our own capabilities. But are some of those tools using us to do the same?

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Generative AI-Related Polls

Want to find out what other engineers think about generative AI? These are some of the polls that we've run to check the pulse of the industry on this subject.  

 

Let us know what you think about ChatGPT.
Chatbots and AI/ML software is flooding not only the general markets, but software-development arenas as well.
Take a quick poll and see what other programmers are up to.
Do you use large language models in generative AI, and if so, what is their main function?
In our salary survey, we posed questions to our readers on the ways artificial intelligence may be impacting their profession.

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More TechXchanges

TechXchanges are curated content by Electronic Design editors. 

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About the Author

William G. Wong
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William G. Wong

Senior Content Director - Electronic Design and Microwaves & RF

I am Editor of Electronic Design focusing on embedded, software, and systems. As Senior Content Director, I also manage Microwaves & RF and I work with a great team of editors to provide engineers, programmers, developers and technical managers with interesting and useful articles and videos on a regular basis. Check out our free newsletters to see the latest content.

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I earned a Bachelor of Electrical Engineering at the Georgia Institute of Technology and a Masters in Computer Science from Rutgers University. I still do a bit of programming using everything from C and C++ to Rust and Ada/SPARK. I do a bit of PHP programming for Drupal websites. I have posted a few Drupal modules.  

I still get a hand on software and electronic hardware. Some of this can be found on our Kit Close-Up video series. You can also see me on many of our TechXchange Talk videos. I am interested in a range of projects from robotics to artificial intelligence. 

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