Morning Overview on MSN
Forget transistors: an intelligent material computes like a brain
Engineers are starting to build hardware that does not just run artificial intelligence, it behaves like a primitive form of ...
Here we go again because science fiction hasn’t taught us anything about robots eventually taking over humanity. In a recent study published in Nature Communications, researchers have reported a ...
Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...
A review paper by scientists at Beijing Institute of Graphic Communication presented a thorough review of the existing ...
Scientists have developed molecular devices that can switch roles, behaving as memory, logic, or learning elements within the ...
A technical paper titled “Online dynamical learning and sequence memory with neuromorphic nanowire networks” was published by researchers at University of Sydney, University of California Los Angeles ...
The review emphasizes the switching mechanisms of organic neuromorphic materials. In addition to these switching mechanisms, the capabilities of organic neuromorphic materials in tunable, conformable, ...
(Nanowerk Spotlight) Paper-based electronic devices have long been an intriguing prospect for researchers, offering potential advantages in sustainability, cost-effectiveness, and flexibility. However ...
A look at the latest generation of neural networks called spike neural networks (SNNs), their operation, and the hardware necessary to run those algorithms. The variety of advantages SNNs have over ...
Tiny molecules that can think, remember, and learn may be the missing link between electronics and the brain. For more than ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results