In This Episode

  • In this episode of Intel on AI guests Lama Nachman, Intel Fellow and Director of Anticipatory Computing Lab, and Hanlin Tang, Sr. Director of the Intel AI Lab, talk with host Abigail Hing Wen about the intersection of humans and AI.

  • The three discuss a wide range of topics, from keeping humans in the loop of AI systems to the ways that AI can augment human abilities. Lama talks about her work in building assistive computer systems for Prof. Stephen Hawking and British roboticist Dr. Peter Scott-Morgan. Hanlin reveals work on a DARPA program in collaboration with Brown University and Rhode Island Hospital that’s trying to restore the ability of patients with spinal cord injury to walk again.

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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.