In conjunction with the presence of the MOVE Community Outreach truck at the conference, this is a panel discussion among representatives from organizations involved with emergency response and disaster recovery.
This presentation will be an open discussion about the challenges and opportunities facing young engineers, women in engineering, and minorities in both academia and industry.
This talk will provide some history of AV development and safety at the Carnegie Mellon National Robotics Engineering Center that has led to the development of the ANSI/UL 4600 standard for AV safety.
Held annually since August 1989, HOT CHIPS has become an important tech symposium for the semiconductor industry’s high-performance processors and ICs. In light of advances in the industry over the past year, this presentation will describe many of last year’s important announcements, what has happened in the industry since that time, and what is expected at this year’s gathering.
This talk will discuss breakthrough technology for synthesizing DNA on a silicon chip that has allowed component miniaturization, and which has thus enabled the lowest price point to date for custom DNA to enable its use for archival data storage.
This event will feature a panel of the major figures who were involved with creating open 10 Mb/s Ethernet in the 1975-1980 time period, with elaboration from a select group of its implementers.
This presentation will describe new capabilities in virtual production tools and system architectures that enable today's mosr advanced visual effects.
This presentation will discuss the myriad of both technical and commercial undertakings necessary to create the massive infrastructure to support a free-flying destination in low-Earth orbit.
This presentation is directed to anyone who is considering becoming a consultant, or who at least is curious about consulting as a career option. Five panelists with extensive and varied consulting experiences will talk about their experiences.
This talk will address whether AI, machine learning and deep learning are useful tools for identifying the genetic basis of exceptional health and life span for the world's aging population.