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RECIF
continued from page 19
part of the E84 standard, which
meant that more complex cases and
host-sorter interactions had to be
tested and adapted in the field during
machine integration at customer
sites,” explains Thomas Brillouet,
research and development director
for RECIF Technologies SAS. “We
selected Agileo’s all-in-one Speech
Scenario and E84 PIO Box solution
because we believe that it is the
most efficient and competitive
product currently on the market.
The flexibility and time savings we
have garnered since using Agileo’s
solution has translated into enhanced
overall customer satisfaction for our
company.”
“Over the past 40 years, RECIF
Technologies has built a solid
reputation as an innovative industry
leader in advanced semiconductor
equipment manufacturing and as an
early adopter of SEMI standards,”
adds Marc Engel, CEO of Agileo
Automation. “Agileo Automation,
whose origins are closely tied to
RECIF Technologies, benefits from
a strong cultural and technical
proximity with the company. We
are proud to contribute to RECIF
Technologies’ success, both as a
technology partner and by supporting them in demonstrating
quality and reliability to their
customers.”
PDF Solutions® Announces Next Generation
of its Exensio® AI/ML Solution
PDF Solutions, Inc. (Booth 1041) announced the
upcoming release of the next generation of its Exensio
AI/ML (i.e. ModelOps) solution: Exensio Studio AI.
For nearly 20 years PDF Solutions has provided leading
data solutions for semiconductor manufacturing. Over
the years, the scope of the PDF Solutions Platform has
evolved in response to the growing reliance on big data
analytics to deliver operational efficiency and to include
the latest developments in IT technology.
Now, added to that Platform is the new Exensio
Studio AI that combines Exensio analytics and Tiber™
AI Studio (formerly cnvrg.io), which PDF Solutions is
licensing from Intel Corporation.
Across the semiconductor industry, Exensio software
is the leading commercial, comprehensive solution for
data analytics for mission critical use cases. Exensio
Studio AI will integrate with the Exensio manufacturing data infrastructure and is designed to leverage
the PDF Solutions’ semantic model to clean, normalize,
and align FDC, characterization, test, assembly, and
supply chain data. Exensio Studio AI is architected to
streamline and accelerate the AI development lifecycle
and designed to allow data scientists, engineers, and
operations managers to build, train, deploy, and manage
machine learning (ML) models across their manufacturing operations and supply chain. Exensio Studio AI
is further architected to support the deployment of these
models at a variety of end points, from cloud applications to manufacturing shop floor and semiconductor
20 | Wednesday, October 8
test cells running at external locations leveraging PDF
Solutions’ global DEX ™ network and secure remote
connectivity solutions.
Key design features of Exensio Studio AI include:
• Full Stack MLOps: to manage the entire ML lifecycle
from research to production.
• Flexibility: to support multi-cloud, hybrid-cloud, and
on-premises deployments using Kubernetes.
• Automation: to automate ML pipelines, tracking, and
monitoring.
• Collaboration: to provide a collaborative environment
for data science teams and operational teams to collaborate on the development of models.
• Hardware Agnostic: to be able to run on various hardware con昀椀gurations.
• Trusted Data Source: to integrate with Exensio analytics to access clean, aligned, trusted manufacturing data.
• Openness: to support Bring Your Own Model and
Bring Your Own Algorithm modes.
Intel Corporation already uses Tiber AI Studio to build,
deploy, and manage AI models across its manufacturing
operations, and now plans to deploy Exensio Studio AI to
benefit from the single, big-data repository for all manufacturing data that Exensio provides. “Standardizing on
Exensio analytics, in general, and Exensio Studio AI, in
particular, is a critical element to the simplification of
our manufacturing data infrastructure and will be key
to deliver operational efficiency across the corporation,”
said Aziz Safa, GM of Intel Foundry Automation.
www.semiconductordigest.com