• Become a member
  • Log In
The Institution of Electronics
  • Home
  • About us
    • Our Objectives
    • Our History
    • Governance of the Institution
  • The Electron Magazine
    • 2024
      • 2024 – Winter
      • 2024 – Spring
      • 2024 – Summer
      • 2024 – Autumn
    • 2025
      • 2025 – Winter
      • 2025 – Spring
      • 2025 – Summer
      • 2025 – Autumn
    • 2026
      • 2026 – Winter
      • 2026 – Summer
  • Members
    • Membership Grades and Fees
    • Members’ Resources
      • The Electron Newsletter
      • The Archives
  • Education and Projects
    • National Electronics Competition
    • Student Members’ Projects
    • Arkwright Engineering Scholarships
  • News
  • Contact Us
  • Menu Menu
Uncategorised

Component selection tool employs AI algorithms

An artificial intelligence (AI)-assisted hardware design platform enables engineers to find the right components for their design projects using machine learning and smart algorithms. It selects the ideal set of components while providing deliverables of architectural design, ECAD native schematics, bill of materials, footprints, and project information summary.

The CELUS design platform transforms technical requirements into schematic prototypes in less than an hour, allowing developers and engineers to move from concept to reality with unprecedented efficiency and precision. Moreover, with projects often comprised of anywhere from 200 to 1,000 individual components, it simplifies the complexities of electronic design and accelerates time to market for new products.

The design platform provides an automated way to transform technical requirements into schematic prototypes in record time. Source: CELUS

At a time when there is an increasing need for more efficient design processes, finding the right components for projects can be overwhelming and time-consuming. The CELUS platform streamlines the design process and provides real-time component recommendations that work.

“With more than 600 million components available to electronics designers, the task of identifying and selecting the ones right for any given project is at best a challenge,” said Tobias Pohl, co-founder and CEO of CELUS. “We developed the CELUS design platform to handle the heavy lifting and intricate details of product design to drive innovation and expand demand creation in a fraction of the time required of traditional approaches.”

We were told that such a system was impossible, but we did it and are now expanding its reach to end users and component suppliers around the world, Pohl added. CELUS aims to transform the $1.4 trillion component industry by aiding the circuit board design market through its unique design automation process.

While CELUS minimizes the time engineers spend identifying disparate component pieces, it also allows component suppliers to easily connect with design engineers for faster market integration and broader reach. Furthermore, this connection via engineering tools like CELUS enables component suppliers to reach developers and engineers who may not be accessible through traditional channels.

CELUS, based in Munich, Germany, is expanding the reach of its cloud-based design platform in the United States by setting up a U.S. headquarters in Ausin, Texas. The company has been founded by a team of mechanical, electrical, and aeronautical engineers and is backed by an advisory board of top industry experts.

Related Content

6 tips for choosing PCB components
Trusting AI With Your Electronics Design Decisions
AI-Powered Design Tool Simplifies Antenna Integration Challenge
Proper layout and component selection control power-supply EMI
Component selection and layout strategies for avoiding thermal EMF

<!–

VIDEO AD

–>


<!–

div-gpt-ad-inread

–>

<!–
googletag.cmd.push(function() { googletag.display(‘div-gpt-ad-native’); });
–>

The post Component selection tool employs AI algorithms appeared first on EDN.

28 August 2024
http://institutionofelectronics.ac.uk/wp-content/uploads/2022/12/IOE_LOGO.png 0 0 http://institutionofelectronics.ac.uk/wp-content/uploads/2022/12/IOE_LOGO.png 2024-08-28 11:29:342024-08-28 11:29:34Component selection tool employs AI algorithms

Latest news

  • An equation-driven guide to designing a CrM/DCM boost PFC28 October 2026 - 16:19
  • Adding open-load fault detection to the DRV103 PWM driver28 October 2026 - 12:17
  • A viable alternative to braided shielded cable28 October 2026 - 00:06
  • Power Tips #158: Using a programmable logic device as an LLC controller27 October 2026 - 12:58
  • Fetal dopplers: Physics, anatomy, and audio signatures of prenatal listening26 October 2026 - 13:40
  • Disassembling a low-tech liquid-leak detector26 October 2026 - 12:39
  • Creating higher voltages, part 2: Voltage multipliers23 October 2026 - 13:21
  • Hacking a network switch for management enhancements22 October 2026 - 13:57
  • AMD defines rack-scale infrastructure for agentic AI21 October 2026 - 19:45
  • Processor IP brings generative AI to edge devices21 October 2026 - 19:45
IOE LOGO 2

Become a member

click here

Become a member

click here

Become a subscriber

click here

Become a sponsor

click here

© Copyright - The Institution of Electronics | Website by WHD Solutions
  • Link to LinkedIn
  • Link to Facebook
  • Link to X
Link to: Digital pot can control gain over a 90 dB span like an electromechanical Link to: Digital pot can control gain over a 90 dB span like an electromechanical Digital pot can control gain over a 90 dB span like an electromechanical Link to: USB 3: How did it end up being so messy? Link to: USB 3: How did it end up being so messy? USB 3: How did it end up being so messy?
Scroll to top Scroll to top Scroll to top