to decrease image storage and transfer costs with fast decompression on edge devices

to build brand-new entropy reduction transforms, we used highly optimized AI predictors and post-processing filters

Adaptive quantizers, entropy reduction, lz77, predictive coding, entropy coders, Pruning, QuAntization, Apple Neural Engine

to develop an AI HDR solution that matches the quality of the baseline model and can process a single 4K photo in less than one second on a Qualcomm 888 NPU

we built a new mobile-efficient 8-bit architecture that accounts for the physical noise model on the camera matrix

Read&Shot noise models, homogeneous functions, QuAntization, Pytorch

to create a solution that automatically reconstructs web application endpoints and classifies input requests as safe or malware in real-time, achieving a bandwidth of 1 Gb/s on a single CPU core

we developed a mobile-efficient 8-bit architecture that accounts for the physical noise model on the camera matrix

Categorical stat tests, LOCK-FREE MAPs, tree data structures, REGEX LEARINING, C++, CYTHON, DOCKER

to create a solution for Nissan cars that detects what the driver is interested in and determines where their attention is. Can we deduce this from the driver's brain?

we recorded brain reactions
to different traffic signs during simulated driving and classified them as Target vs. Non-Target

C++ (driving simulator, eye-tracking) MATLAB (EEG, eye-tracking), Python (EEG)