Brain-Computer Interface allows Fast, Accurate Typing by people with Paralysis

In a Stanford-led research report, three participants with movement impairment controlled an onscreen cursor simply by imagining their own hand movements. The clinical research has demonstrated that a brain-to-computer hookup can enable people with paralysis to type via direct brain control at the highest speeds and accuracy levels reported to date. The study participants with … Continue reading “Brain-Computer Interface allows Fast, Accurate Typing by people with Paralysis”

MIT Researchers devise efficient Power Converter for Internet of Things (IoT)

IoT ie the “internet of things” is the idea that vehicles, appliances, civil structures, manufacturing equipment, and even livestock will soon have sensors that report information directly to networked servers, aiding with maintenance and the coordination of tasks. Those sensors will have to operate at very low powers, in order to extend battery life for … Continue reading “MIT Researchers devise efficient Power Converter for Internet of Things (IoT)”

Towards an Artificial Brain

The fast-advancing fields of neuroscience and computer science are on a collision course. David Cox, Assistant Professor of Molecular and Cellular Biology and Computer Science at Harvard, explains how his lab is working with others to reverse engineer how brains learn, starting with rats. By shedding light on what our machine learning algorithms are currently … Continue reading “Towards an Artificial Brain”

Achieving the full potential of 3D and 4D printing through computational design

3D printers are becoming more and more capable – for example, we can now print in 40 materials simultaneously, or print structures that will change in response to aspects of their environment, such as temperature. Kristina Shea, Professor for Engineering Design and Computing at ETH Zürich, argues that designers need computational aids to help them … Continue reading “Achieving the full potential of 3D and 4D printing through computational design”