MIT engineers have designed an artificial synapse for “brain-on-a-chip” hardware, a major stepping stone toward portable artificial intelligence devices.
Research teams all over the world are exploring different ways to design a working computing chip that can integrate quantum interactions. Now, UNSW engineers believe they have cracked the problem, reimagining the silicon microprocessors we know to create a complete design for a quantum computer chip that can be manufactured using mostly standard industry processes and components.
Over the decades, computer chips have been getting faster and faster, but a speed limit is looming.
Intel is testing a different kind of AI processing chip that’s more like our brains.
The future of computing depends on it.
Researchers at Caltech have developed a computer chip that can store quantum information in the form of light, at the nanoscale. The breakthrough is the latest step towards quantum computers and networks, which would allow information to be processed and transmitted faster and with smaller devices.
For five decades, Moore’s law held up pretty well: Roughly every two years, the number of transistors one could fit on a chip doubled, all while costs steadily declined. Today, however, transistors and other electronic components are so small they’re beginning to bump up against fundamental physical limits on their size. Moore’s law has reached its end, and it’s going to take something different to meet the need for computing that is ever faster, cheaper and more efficient.
It’s not all that easy to call KnuEdge a startup. Created a decade ago by Daniel Goldin, the former head of the National Aeronautics and Space Administration, KnuEdge is only now coming out of stealth mode. It has already raised $100 million in funding to build a “neural chip” that Goldin says will make data centers more efficient in a hyperscale age.
Google unveils custom TPU chip, which it says advances computing performance by three generations.
Phones and other compact devices with silicon neurons and synapses inside could be much more useful.
The TrueNorth chip can process sensory data much like our brains, and one day may match them.
For the past few years, tech companies and academic researchers have been trying to build so-called neuromorphic computer architectures—chips that mimic the human brain’s ability to be both analytical and intuitive in order to deliver context and meaning to large amounts of data.
A team of researchers in the US has made a whole set of electronic organs on a tiny plastic chip to allow drugs to be tested more safely an