Monday, February 6, 2023 | 5:00pm – 7:00pm ET
Speaker: Alex Sludds, MIT PhD Candidate
Veiw a recording of the thesis defense here.
Abstract: In this virtual thesis defense Alexander Sludds will discuss an innovative way for edge devices to perform advanced machine learning by using the cloud to stream data, which will allow devices with limited power and memory to compute at high speeds.
Speaker Bio: Alexander Sludds, is an MIT PhD student in integrated photonics. His research interests include the application of optics to data management and access for computation as well as novel techniques for interfacing CMOS and Photonic Systems. Most recently his research has focused on large scale Silicon Photonic systems demonstrating Optical Neural Networks more energy efficient and faster than possible with electrical CMOS technology. In practice of this research Sludds has lead large system tapeouts in commercial Photonic CMOS foundry processes. Sludds received a Bachelors of Science in Electrical Engineering and Computer Science from MIT in 2018.
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