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Athinia™ Welcomes New Chief Operating Officer, Dr. Adam Schafer, to the Team

November 8, 2024

ASNA and Athinia® collaborate to boost semiconductor manufacturing yields through improved data sharing and traceability of subcomponent parts

Save time and free up resources with integrated data access

November 30, 2023

Batch quality analysis often requires a lengthy data gathering processes involving many different systems.

Shift from reactive to proactive improvement of “first-time right” with secure data sharing

November 30, 2023

Oftentimes one specific criteria doesn’t meet fab specification limits, and raw material pre-conditioning is a month-long process that can delay customer needs.

Scaling Advanced Predictive Manufacturing at Micron

November 15, 2023

Micron and EMD Electronics identified the need for smart data collaboration to address the exponentially growing number of parameters in semiconductor chip and device manufacturing. Learn more about how Micron and EMD Electronics enabled a scalable platform for end-to-end integration and analysis from raw materials to device making.

How Data Sharing Advances Zero-Defect Semiconductor Manufacturing

September 14, 2023

In order to achieve zero-defect semiconductor manufacturing, Athinia® CEO Laura Matz calls for collaboration and data sharing along the value chain.

Athinia® expands partnerships to include Tokyo Electron for real-time collaborative analytics of semiconductor fab equipment performance

Today, Athinia announced that its industry-wide many-to-many data ecosystem to accelerate digital transformation and further enable cutting-edge AI is being adopted by more organizations globally. Tokyo Electron (TYO:8035), a leading capital equipment manufacturer of cutting-edge semiconductor production equipment and technical service will use Athinia as a key solution to accelerate its digital and cloud transformation.

Preprocessing Data White Paper

January 8, 2023

Addressing chip shortages and supply chain disruptions necessitates data sharing in the semiconductor industry. Explore the various data preprocessing techniques needed to build a secure data platform and ecosystem in this white paper.

Micron to Select Athinia® for Pioneering Data Collaboration

Today, Athinia announced that Micron Technology, Inc. (Nasdaq: MU), a global leader in innovative memory and storage solutions, plans to use the Athinia data analytics platform to create a pioneering data collaboration ecosystem that will help lead a continued journey of digital transformation with Micron’s critical suppliers.

Athinia® to Accelerate the Use of AI and Big Data to Solve Critical Semiconductor Challenges

December 7, 2021

Merck KGaA, Darmstadt, Germany, a leading science and technology company, and Palantir Technologies Inc. (NYSE:PLTR), a leading builder of operating systems for the modern enterprise, today announced a new partnership to deliver a secure collaborative data analytics platform for the semiconductor industry.

Athinia™ Welcomes New Chief Operating Officer, Dr. Adam Schafer, to the Team

November 8, 2024

ASNA and Athinia® collaborate to boost semiconductor manufacturing yields through improved data sharing and traceability of subcomponent parts

ASNA and Athinia® collaborate to boost semiconductor manufacturing yields through improved data sharing and traceability of subcomponent parts

How Data Sharing Advances Zero-Defect Semiconductor Manufacturing

September 14, 2023

In order to achieve zero-defect semiconductor manufacturing, Athinia® CEO Laura Matz calls for collaboration and data sharing along the value chain.

Athinia® expands partnerships to include Tokyo Electron for real-time collaborative analytics of semiconductor fab equipment performance

Today, Athinia announced that its industry-wide many-to-many data ecosystem to accelerate digital transformation and further enable cutting-edge AI is being adopted by more organizations globally. Tokyo Electron (TYO:8035), a leading capital equipment manufacturer of cutting-edge semiconductor production equipment and technical service will use Athinia as a key solution to accelerate its digital and cloud transformation.

Micron to Select Athinia® for Pioneering Data Collaboration

Today, Athinia announced that Micron Technology, Inc. (Nasdaq: MU), a global leader in innovative memory and storage solutions, plans to use the Athinia data analytics platform to create a pioneering data collaboration ecosystem that will help lead a continued journey of digital transformation with Micron’s critical suppliers.

Athinia® to Accelerate the Use of AI and Big Data to Solve Critical Semiconductor Challenges

December 7, 2021

Merck KGaA, Darmstadt, Germany, a leading science and technology company, and Palantir Technologies Inc. (NYSE:PLTR), a leading builder of operating systems for the modern enterprise, today announced a new partnership to deliver a secure collaborative data analytics platform for the semiconductor industry.

Scaling Advanced Predictive Manufacturing at Micron

November 15, 2023

Micron and EMD Electronics identified the need for smart data collaboration to address the exponentially growing number of parameters in semiconductor chip and device manufacturing. Learn more about how Micron and EMD Electronics enabled a scalable platform for end-to-end integration and analysis from raw materials to device making.

Preprocessing Data White Paper

January 8, 2023

Addressing chip shortages and supply chain disruptions necessitates data sharing in the semiconductor industry. Explore the various data preprocessing techniques needed to build a secure data platform and ecosystem in this white paper.

Save time and free up resources with integrated data access

November 30, 2023

Batch quality analysis often requires a lengthy data gathering processes involving many different systems.

Shift from reactive to proactive improvement of “first-time right” with secure data sharing

November 30, 2023

Oftentimes one specific criteria doesn’t meet fab specification limits, and raw material pre-conditioning is a month-long process that can delay customer needs.

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