• The software includes an auto-recognition feature that identifies any device plugged into a laptop, from an electrocardiogram machine to an electron microscope, and translates the signals into a form that can be received by hospital computer systems at the other end.

    FORBES: Remote Retirement

  • The Stanford team's work was featured recently as an invited paper at the prestigious International Electron Devices Meeting (IEDM) as well as a "keynote paper" in the highly regarded IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

    ENGADGET: Stanford engineers find work around for barriers to carbon nanotube computers

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