TinyML U-Net processor at BioCAS’25

Our paper “A 23-μJ-per-frame Fully-Integrated U-Net-Based TinyML Processor for Real-Time and Autonomous Medical Image Segmentation,” by Zoey Song, myself, and Anantha Chandrakasan, was presented at the IEEE Biomedical Circuits and Systems Conference (BioCAS’25) in Abu Dhabi, United Arab Emirates. The…

FATE at MWSCAS’25

Congratulations to Jack Adiletta on our paper “FATE: A Fourier Accelerated Tensor Engine for Neural Networks,” with Baraq Islam and myself, presented at the IEEE International Midwest Symposium on Circuits and Systems (MWSCAS’25) in Lansing, MI. Great work, Jack!

Our paper at EMBC’25

Our paper “Comparing Numerical Optimization Algorithms for On-Device Luminescence Lifetime Analysis,” by Gokalp Cevik, Vladimir Vakhter, and myself, was presented at the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’25) in Copenhagen, Denmark. Congratulations,…

Our paper at SAS’25

Our paper “Decay Time Processing Technique by Digital Architecture for Noninvasive Optical Monitoring of Biosignals in Healthcare Applications,” by G. Di Patrizio Stanchieri and collaborators, was presented at the 2025 IEEE Sensors Applications Symposium (SAS’25) in Newcastle, United Kingdom.