Genome sequencing could be as affordable as a routine medical test with highly efficient computing.|Short Read

Eric Michielssen has discovered a new way to rapidly analyze electromagnetic phenomena, and it’s catching on.|Medium Read

The law of small numbers could impact the next generation of tools that deal with data.|Medium Read

AI, weather forecasting and data science would all benefit from computers that store and process data in the same place. Memristors could be up to the task.|Medium Read

DARPA’s initiative to reinvigorate the microelectronics industry draws deeply on Michigan Engineering expertise.|Medium Read

Transmuter can change how programs use the hardware available to them in real time, effectively acting as a reconfigurable computer.|Medium Read

The speedy and efficient system-on-chip could unify wireless communication.|Medium Read

Six-month hardware design process will be turned into 24-hour automated task.|Medium Read

Foofah is a tool that can help to minimize the effort and required background knowledge needed to clean up data.|Medium Read

The most exciting use of AI for me focuses around a better collective use of our available resources, says Corso.|Medium Read

Jie Song devised a method to combine summarized datasets that group information by incompatible units.|Short Read

The latest from IBM and now the University of Michigan is redefining what counts as a computer at the microscale.|Short Read