Mobileye
Adi Hayat is a seasoned professional with extensive experience in algorithm development and machine learning, currently serving as an Algorithm & ML Senior Principal Engineer at Mobileye since November 2017. With expertise in creating autonomous vehicle maps using machine learning, deep neural networks, and computer vision algorithms, Adi contributes to Mobileye's REM solution, which focuses on highly accurate, crowd-source based maps for autonomous vehicles. Prior to Mobileye, Adi worked at Intel Corporation as an Algorithm Engineer in the Perceptual Computing Group, and at Ericsson as a Software Engineer in the cDVR Media Solutions team. Additional experience includes firmware engineering at Mellanox Technologies and board design at IAI. Adi holds a Master’s Degree in Computer Vision and Machine Learning from Tel Aviv University and an Engineer's Degree in Electrical and Electronics Engineering from Ben-Gurion University of the Negev.
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Mobileye
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Mobileye N.V. is engaged in the development of computer vision and machine learning-based sensing, mapping and driving policy technology for advanced driver assistance systems and autonomous driving technologies. The Company operates through two segments: Original Equipment Manufacturing, which supplies the software algorithms and EyeQ chip, and After Market, which sells a complete system, which includes its software algorithms and EyeQ chip, as well as the camera and other necessary components. Its software algorithms and EyeQ chips perform detailed interpretations of the visual field in order to anticipate possible collisions with other vehicles, pedestrians, cyclists, animals, debris and other obstacles. Its products are able to detect roadway markings; identify and read traffic signs, directional signs and traffic lights; create a Roadbook of localized drivable paths and visual landmarks using its road experience management technology, and provide mapping for autonomous driving.