+44 (0)24 7671 8970
More publications     •     Advertise with us     •     Contact us
 
Loading...
News Article

Lynceus and NXP Semiconductors partner

News

Lynceus and NXP Semiconductors recently presented a case study on “Qualifying AI for Automotive Production”.

Given at the Fab Owners Alliance (FOA) Q1 Collaborative Forum in Phoenix, Ariz, the presentation covered the importance of qualifying AI for production deployment, specifically for automotive-grade production.

The shift towards electric vehicles and autonomous driving means cars are increasingly packed with highly critical electronic components. Automotive chip manufacturers need to adapt by producing more reliably, while optimizing asset spending in a challenging market environment.

AI can in principle help improve yield and production capacity in existing fabs but to this date has not been adopted at full scale. The industry misses a robust qualification and introduction process, able to bridge the gap between a performant predictive model and a fully functioning AI production solution.

“To this day, AI solutions have not met the robustness and reliability standards of automotive-grade production, and the industry is missing a qualification framework to validate an AI solution that is ready for deployment in an automotive fab,” said David Meyer, CEO of Lynceus. “In collaboration with NXP, we are the first to fully qualify AI for automotive-grade production, and we have developed an actionable framework that can be repurposed for any AI application,” he added.

The presentation touched on a four-step playbook covering:

● Who needs to be involved and how

● What is a reliable model

● What supporting infrastructure is required

● How to assess associated manufacturing risks and opportunities

“Successfully deploying AI in a high-value manufacturing environment, such as a semiconductor fab, by focusing on predictive performance alone is not enough. Building a comprehensive qualification case evidencing the expected impact on manufacturing performance, the robustness of the system and the feasibility of scaling is a critical and often neglected step to fostering large scale adoption of AI,” Meyer stated.

SPEA donates test equipment to university in Thailand
SONOTEC and S3 Alliance join at SEMICON Europa
Luminaries like high-NA EUV and curvilinear photomasks
SensiML and Silicon Technology join forces
TRI launches high-performance 3D AXI
SONOTEC and S3 Alliance join at SEMICON Europa
Marquee Semiconductor expands Indian presence
Micron begins Memory Manufacturing Fab
SiLC Technologies advances Machine Vision
Renesas partners with EdgeCortix
Gradiant acquires H+E Group
Webinar: Hydrogen Generation Industry Innovations to Meet Expanding North American Fab Hydrogen Requirements
EdgeCortix set to disrupt the edge market?
Evonetix places first DNA Synthesis Development Platform at Imperial College London
ASE launches Integrated Design Ecosystem
Cohu acquires Equiptest Engineering
Advantest wins 2022 Best Supplier Award from ASE Holdings
SEMI welcomes new board members
Advanced Energy breaks ground on flagship factory
GlobalFoundries opens new Malaysia office
TSMC reveals 'breakthrough' set to redefine the future of 3D IC
Delphon announce new VP, strategic marketing & business development
Particle Measuring Systems Announces Acquisition of EMS
Ireland begins high-volume production of Intel 4 Technology
Advantest to showcase latest test solutions
200 gigabits per second
KemLab Inc. applauds CHIPS Act's commitment
200mm fabs to reach record capacity by 2026
Governor DeSantis dedicates $50 million for workforce development
DOD names eight 'Microelectronics Commons' Hubs
TSMC accelerates renewable energy adoption
Mouser signs global agreement with MediaTek
×
Search the news archive

To close this popup you can press escape or click the close icon.
Logo
×
Logo
×
Register - Step 1

You may choose to subscribe to the Silicon Semiconductor Magazine, the Silicon Semiconductor Newsletter, or both. You may also request additional information if required, before submitting your application.


Please subscribe me to:

 

You chose the industry type of "Other"

Please enter the industry that you work in:
Please enter the industry that you work in: