Daniel Ravid is a prominent inventor based in Herzeliya, Israel. He has made significant contributions to the field of semiconductor examination through his innovative methods and systems. With a total of 5 patents to his name, Ravid continues to push the boundaries of technology in this critical area.

Latest Patents

Ravid's latest patents include a method of deep learning-based examination of a semiconductor specimen and a system thereof. This computerized system and method involve training a deep neural network (DNN) using a first training cycle with a training set that includes synthetically generated images based on design data. The DNN is adjusted based on user feedback, allowing for enhanced training cycles and improved examination of semiconductor specimens. Another notable patent focuses on classifying defects in semiconductor specimens, utilizing a trained DNN to automate the classification process based on classification-related attributes.

Career Highlights

Daniel Ravid is currently employed at Applied Materials Israel Limited, where he applies his expertise in deep learning and semiconductor technology. His work has been instrumental in developing advanced systems that enhance the accuracy and efficiency of semiconductor examinations.

Collaborations

Ravid collaborates with talented professionals in his field, including Idan Kaizerman and Leonid Karlinsky. These partnerships contribute to the innovative environment at Applied Materials Israel Limited, fostering advancements in semiconductor technology.

Conclusion

Daniel Ravid is a key figure in the realm of semiconductor examination, with a strong portfolio of patents that reflect his innovative spirit. His contributions are shaping the future of technology in this vital industry.

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