AIM Summer Academy 2019

Reading time ( words)

The AIM Photonics Academy—the educational initiative of the AIM Photonics Institute—will be holding a one-week intensive program on integrated photonics, including:

- Fundamentals track: a crash course on state-of-the-art devices, process flow, fabless photonics circuit design, design for manufacturing, application systems, and chip packaging and test.

- Applied track: practice workshops with leading commercial software tools for modeling, simulation, layout and error check of photonics integrated circuits (PICs); short courses in application systems, and chip packaging and test.

- Student teams: work on a conceptual study of a PIC solution for an application-specific system.

- Education track: includes a roster of instructors from MIT, RIT, University of Rochester, Dartmouth College, Columbia University, University of Delaware, Finisar, Synopsys, Lumerical, and Mentor.

The AIM Summer Academy 2019 will be held from July 22–26 at the Massachusetts Institute of Technology (MIT) campus.

A limited number of academic discounts are available upon request.

For more information, visit https://bit.ly/2Y84RFr.

10/22/2019 | University of Illinois

As wearable sensors become more prevalent, the need for a material resistant to damage from the stress and strains of the human body’s natural movement becomes ever more crucial. To that end, researchers at the University of Illinois at Urbana-Champaign have developed a method of adopting kirigami architectures to help materials become more strain tolerant and more adaptable to movement.

09/12/2019 | SEMI

Worldwide semiconductor manufacturing equipment billings reached $13.3 billion in the second quarter of 2019, down 20% from the same quarter of 2018 and 3% from than the previous quarter.

04/01/2019 | DARPA

DARPA’s Real Time Machine Learning (RTML) program seeks to reduce the design costs associated with developing ASICs tailored for emerging ML applications by developing a means of automatically generating novel chip designs based on ML frameworks.