AI Solution for
Alsemy provides fast and accurate semiconductor device modeling
to semiconductor engineers/researchers
by using AI-based models,
shortening the model development time from years to hours
What is a device model?
In the semiconductor chip fabrication process, device model is the “bridge” between the fabricated device and IC design. Smaller, faster transistors that consume less power are continuously developed in the fabrication facility, but the final impact that they have can only be evaluated after being evaluated inside a circuit. Device models enable this circuit evaluation, containing the relevant electrical information of the transistor. Thus the speed and accuracy of the device model determines the speed and accuracy of the circuit-level prediction.
Today, device models are formula-based models derived by humans, which means:
① Need for semiconductor expert intervention
② Long development period (years)
③ Limited accuracy
Alsemy presents a new paradigm
in which device models are data-based models generated by deep learning, which enables:
① No need for expert intervention
② Short development period (hours)
③ Improved accuracy
1. Ease-of-use by anyone
Alsemy offers an easy-to-use AutoML algorithm that even non-AI experts can use.
Based on customer's data, the algorithm automatically determines the optimal network structure.
2. Less data-size dependence
In order to cope with situations where data is limited,
Alsemy uses knowledge transfer algorithms to incorporate good prior knowledge
in learning process.
3. Device physics based
Purely data based ML models may violate semiconductor device physics. Alsemy’s physics-informed AI model can resolve this issue.
Bringing better semiconductor technology to the world faster
by full automation of chip design and optimization
We are a group of engineers/scientists with AI expertise, semiconductor field experience (>50% are former SK hynix/Samsung employees), and academic research experience (90% have M.S. and/or Ph.D. degrees). We develop our solution through close collaboration between the Ai (Artificial intelligence) team, which develops AI-based modeling technology, the Ti (Technology intelligence) team, which resolves semiconductor technology issues, and the Pi (Product intelligence) team, which develops software and simulation technology.
Mad Scientist/Head of Pi
Head of Ai/Chief AI Officer
Chief Strategy Officer
Tech Planning Manager
Head of Ti