Students could work in teams of two or by themselves. They had to answer a series of questions coded in JAVA--and got free pizza.
Here are some pictures of the fun.
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Neurotechnology is changing the way we live. Advances in robotics and neural prosthetics, including computer systems that interface directly with the human brain, give patients with paralysis, lost limbs, or neurological disease new ways to move and communicate. But with these revolutionary technologies come translational challenges: Scientists are still working to make neural prosthetics reliable, safe, and affordable. As electronics get smaller and robots get smarter, what will the future hold for the patients who rely on this technology? And from remote warfare to remote surgery, how are people without disabilities likely to use these neurotechnologies in the coming years?
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| Todd Coleman / UC San Diego bioengineering professor |
“A zettabyte is one billion terabytes. For context, 7.7 zettabytes is the equivalent to:
- 107 trillion hours of streaming music -- about 1.5 years of continuous music streaming for the world’s population in 2017.
- 19 trillion hours of business web conferencing -- about 14 hours of daily web conferencing for the world’s workforce in 2017.
- 8 trillion hours of online high-definition (HD) video streaming -- about 2.5 hours of daily streamed HD video for the world’s population in 2017.”
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| Graduate student Qing Gu at work in the Fainman lab in the ECE dept. at UC San Diego's Jacobs School of Engineering. |
“But the meat and potatoes of Yeshaiahu Fainman and George Porter’s server-rack-on-a-chip vision is really about taking the existing framework for a server rack and recreating it at the nano-level. They say that miniaturizing all server components so that several servers can fit onto a computer chip would increase processing speed. Making circuit systems to support all these mini-components using advanced lithography is already feasible, but scientists have yet to realize nano-transceivers and circuit-switchers—the key components that transmit data. And while silicon chips are increasing being used to transmit data-carrying light waves in fiber optic networks, efficiently generating light on a silicon chip is still early in its development. The researchers offer some solutions, like including light generating nanolasers in the chip design.”