SEMICONDUCTORS

Driving Yield Through AI-Assisted Decision Making, Seamless Data Integrations

From laboratory research to manufacturing, the semiconductor ecosystem is undergoing significant transformation. Don’t lose out on opportunity.

Why Enthought

As chip complexity grows, machine learning is helping manufacturers seize opportunity, reduce downtime and improve output. Advanced algorithms can recognize and learn patterns in data, make predictions and identify problems – without relying on manual processes.

Enthought scientists have business-relevant domain expertise, enabling a greater understanding of client challenges. Combining this with coding skills enables rapid prototyping to get started immediately in creating the new possibilities enabled by digital technologies. Together, we help bring products to market faster.

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Semiconductor Wafer Inspection Transformed

Many laboratories rely on time consuming, labor intensive activities that must be performed by experts, often generating only basic/necessary data, or providing a yes/no answer. In this video, Mike Connell, VP Organizational Transformation, discusses how a time consuming quality inspection chore is transformed to reduce the time, while generating new data. The result is an innovative workflow that improves the manufacturing process.

What Materials Informatics Looks Like in the Modern R&D Lab

The Modern Materials Science and Chemistry Lab Industry success now more than ever is being dictated by the ability to continuously develop innovative new materials…

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Cheat Sheet | Large Language Models+ For Scientific Research

Large Language Models+ For Scientific Research Updated August 2023 LLMs and Tools for R&D To help scientists and researchers navigate the increasing number of advanced…

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WEBINAR: What Every R&D Leader Needs to Know About ChatGPT and LLMs

View Webinar-on-Demand Live webinar held on June 27, 2023 Overview ChatGPT and the explosion of advanced Large Language Models (LLMs) are disrupting every industry. We…

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WEBINAR: Drug Development in the AI-Driven Lab

October 24, 2023 Overview The recent advancements in artificial intelligence (AI) and large language models have unleashed a new era of possibilities for drug development….

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WEBINAR: Materials Informatics for Product Development: Deliver Big with Small Data

May 17, 2023 Overview For many industry labs, scientific data has historically been generated to answer specific, immediate research questions and then archived to protect…

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5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab

5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab   Despite an increase in digital transformation efforts across all industries, 70% fall short…

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New Application Transforms Chip Communication Subsystem Testing

Freescale Semiconductor needed to transform their testing processes. Freescale’s High Speed Signal Integrity (HSSI) group is responsible for testing the electrical characteristics of the communications…

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Active Learning Improves Polymer Formulation Scale-Up Efficiency

A Specialty Chemical Company Wanted to Remove the Bottleneck from their Polymer Scale-Up Process Many of the high tech products we interact with on a…

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The Journey to Digital-centric Chemicals and Materials Laboratories

Digital technologies and the innovation they enable are steadily transforming chemicals and materials labs.  This webinar proposes five ‘levels’ of lab digital capability, providing managers…

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Digital Transformation in Practice

For digital leaders who will share a practical framework for digital transformation options, and how to avoid common pitfalls. Gain insights into: Making key strategic…

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SEMICON West 2021 lived up to its status as the signature conference for the extended microelectronics supply chain. Business and technology leaders, researchers, and analysts from across the semiconductor industry connected in-person and virtually for a 360 view of technological and market trends.

The themes of collaboration and digital transformation resounded throughout the conference as more important than ever. Coincidentally these themes are deep-rooted in Enthought’s history and reinforced in our business model for helping science-driven companies advance innovations and achieve global impact.

Emthought | Mike Heiber, Ph.D., Materials Informatics Manager

Michael Heiber

Director, Professional Services & Customer Success

Matthew Reay

Consulting Manager

Ben Luginbuhl

Scientific Software Developer