Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

Neural networks are some of the most important tools in AI. So far, they run on traditional processors in the form of adaptive software, but experts are working on an alternative concept, the ...

In an announcement that had to come from a big tech company sometime this decade, Samsung says it wants to “copy and paste” the human brain onto “neuromorphic” computer chips. The attempt at taking ...

What's the best computer in the world? The most souped-up, high-end gaming rig? Whatever supercomputer took the number one spot in the TOP500 this year? The kit inside the datacentres that Apple or ...

Efforts to build brain-inspired computer hardware have been underway for decades, but the field has yet to have its breakout moment. Now, leading researchers say the time is ripe to start building the ...

In July, a group of artificial intelligence researchers showcased a self-driving bicycle that could navigate around obstacles, follow a person, and respond to voice commands. While the self-driving ...

Computer development has taken a wide path away from the silicon-based hardware we’ve grown accustomed to. Research has been conducted into various other ways of building even more efficient systems.

As artificial intelligence platforms like OpenAI’s ChatGPT and Microsoft’s Copilot go mainstream, power bills from their usage are exploding. In response, researchers are racing to build hardware that ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Intel announced on Wednesday the creation of Hala Point, its latest ...

When you buy through links on our articles, Future and its syndication partners may earn a commission. Although neuromorphic computing was first proposed by scientist Carver Mead in the late 1980s, it ...

Researchers believe that neuromorphic computer chips can be made more unique and more biodegradable in the future. For sustainable and fast computing, a team of scientists from the Washington State ...