In the early 2000s, the idea that you could write programs on microcontrollers that did things in the physical world, like run motors or light up LEDs, was kind of new. At the time, most people ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

The new year is here and some of the tech sector’s biggest announcements are just around the corner. The Consumer Electronics Show (CES) takes place this week, and we will be hearing a lot more about ...

The development of deep learning has motivated the advancement of unconventional computing that leverages analog physical systems such as analog electronics, spintronics, and photonics. These ...

Physical computing allows the Raspberry Pi to interact with circuits. Subsequently, this module introduces some simple circuits using the Raspberry Pi and distinguishes some of the techniques required ...

• Overcoming CMOS Bottlenecks: As AI workloads surge, conventional architectures suffer from >100 pJ per MAC and millisecond latency due to sensor-memory-processor separation. MXene-Ti 3 C 2 T x ...

Haptics—technology that recreates the sense of touch—has long been a missing piece in digital interaction. Screens can show images, speakers can play sound, and VR headsets can simulate immersive ...