Generating AI

The electronics industry can learn valuable lessons from how software engineers have integrated AI into their development workflows.

Electronic Design’s Editor Bill Wong weighs in on the DeepSeek announcement.

In our salary survey, we posed questions to our readers on the ways artificial intelligence may be impacting their profession.

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...

Give us your views about AI with respect to software tools and development.

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.

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.

Tapping AI to assist in peer reviews and improve the quality of manuscripts may be a game-changer for the scientific community.

AI integration within robots changes everything about workflows, but it requires workforce retraining to mitigate job replacements.

The Raspberry Pi AI Kit comes with an M.2 HAT+ and Hailo AI acceleration module capable of pushing 13 TOPS.

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....

Embedded-systems designers are on a mission to squeeze powerful AI algorithms into resource-constrained gadgets, relying on cutting-edge custom hardware accelerators and high-...

AI is transforming semiconductor design by automating tedious tasks, enhancing creativity, and enabling innovative chip architectures, all while addressing the growing workforce...

The digital-twin platform, Earth-2, uses AI and machine-learning models for improved weather predictions with enhanced visualizations.

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...

Although artificial intelligence is a significant technology advance, it also serves as a reminder of how technology disruption has impacted society in the past.

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.

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...

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...

Leveraging AI is essential for businesses to succeed in Industry 4.0, but that success requires fundamental investment in technology, training, and restructuring.

From rendering humans to simplified robot development, new generative AI technologies look to revolutionize industries from gaming to data centers.

Infineon's 8-kW reference design for data centers features Si, SiC, and GaN technologies to help quench AI’s thirst for power.

Dr. Aliana Maren, founder of the Themesis Institute, suggests that AI's recurrent issues are deep architectural flaws, not mere bugs. In this exclusive interview, she explains...

Humans have long used tools to extend our own capabilities. But are some of those tools using us to do the same?

Do you use large language models in generative AI, and if so, what is their main function?

The company’s next-gen AI silicon adds more accelerator cores, faster networking, and extra high-bandwidth memory.

Learn what’s in the forecast for generative AI this year and how it will impact the electronics industry.

Lauro Rizzatti breaks down the potential, deployment, and value of generative AI, along with misunderstandings and exaggerations to help debunk myths surrounding the technology...

AI is already disrupting the product planning and development process—and it’s only getting worse.

Jim Handy’s crystal ball reveals trends about many topics, ranging from memory chips to generative AI.