Travel time studies in urban areas have shown that delays caused by intersections make up 12-55% of daily commute travel. A research team led by Dr. Guni Sharon has developed a self-learning system that utilizes machine learning to improve the flow of traffic at intersections.
Ann and Bill Martin ’58 have contributed to the Computer Science Excellence Endowment in the Department of Computer Science and Engineering at Texas A&M University. Distributions from this endowment allow the department to have a direct and immediate impact on its programs and students.
Dr. Daniel A. Jiménez has recently been named a fellow of the Institute of Electrical and Electronics Engineers for his contributions to neural branch prediction in microprocessor research and design.
