Speaker: Lama Nachman, Intel Fellow and Director of Anticipatory Computing Lab

Bio: 

Lama Nachman is an Intel Fellow and Director of Anticipatory Computing Lab, defining and executing the research agenda for contextual aware and personalized computing in Intel Labs and managing a team of 60 researchers to develop sensing systems, algorithms and applications to make these experiences possible. Lama is best known for her work with Prof. Stephen Hawking; she was instrumental in building an assistive computer system to assist Hawking in communicating. Today she is assisting British roboticist Dr. Peter Scott-Morgan to communicate using a similar system. Lama obtained her MS in Computer Engineering from the University of Wisconsin-Madison. 

Speaker: Hanlin Tang, Sr. Director of the AI Lab at Intel

Bio: 

Hanlin Tang is the Sr. Director of the AI Lab at Intel. The AI Lab conducts both foundational and applied research, develops algorithms for next-generation AI accelerators, and produces open source deep learning libraries such as NLP Architect, Distiller, and RL Coach. Hanlin previously led teams in computer vision, algorithm-hardware co-design, and federal AI programs at Intel. He joined Intel from its acquisition of the deep learning startup Nervana Systems. Hanlin obtained his Ph.D. from Harvard University, where he studied the role of recurrent neural networks in the human visual system. His research has appeared in venues such as NeurIPS, Neuron, PNAS, ICCV, and Scientific Reports.