Tag Archives: Semiconductors

Scientists Wind Wires and Drip Semiconductors to Make Transistors on a Thread

Post Syndicated from XiaoZhi Lim original https://spectrum.ieee.org/tech-talk/semiconductors/devices/transistors-on-a-thread

Flexible electronics that could be worn on, stuck to, or even implanted in your body need to be able to twist, bend, or fold. And when it comes to that range of motion, nothing beats a single thread.

“Threads are the ultimate in flexibility,” says Sameer Sonkusale, an electrical engineer at Tufts University.

In 2016, Sonkusale and his team used cotton threads to create microfluidic sensors that can measure things like temperature and pH. Last month, in a proof-of-concept experiment, Sonkusale’s group reported making thread-based transistors, and demonstrated their utility as logic gates and multiplexers.

Intel Shows Off Chip Packaging Powers

Post Syndicated from Samuel K. Moore original https://spectrum.ieee.org/tech-talk/semiconductors/processors/intel-shows-off-chip-packaging-powers

Three research directions should bind chiplets more tightly together

Packaging has arguably never been a hotter subject. With Moore’s Law no longer providing the oomph it once did, one path to better computing is to connect chips more tightly together within the same package.

At Semicon West earlier this month, Intel showed off three new research efforts in packaging. One combines two of its existing technologies to more tightly integrate chiplets—smaller chips linked together in a package to form the kind of system that would, until recently, be made as a single large chip. Another adds better power delivery to dies at the top of a 3D stack of chips. And the final one is an improvement on Intel’s chiplet-to-chiplet interface called Advanced Interface Bus (AIB).

First Programmable Memristor Computer

Post Syndicated from Samuel K. Moore original https://spectrum.ieee.org/tech-talk/semiconductors/processors/first-programmable-memristor-computer

Michigan team builds memristors atop standard CMOS logic to demo a system that can do a variety of edge computing AI tasks

Hoping to speed AI and neuromorphic computing and cut down on power consumption, startups, scientists, and established chip companies have all been looking to do more computing in memory rather than in a processor’s computing core. Memristors and other nonvolatile memory seem to lend themselves to the task particularly well. However, most demonstrations of in-memory computing have been in standalone accelerator chips that either are built for a particular type of AI problem or that need the off-chip resources of a separate processor in order to operate. University of Michigan engineers are claiming the first memristor-based programmable computer for AI that can work on all its own.