TinyML can run on standard microcontrollers, but ones with hardware acceleration or AI/ML-enhanced instruction sets can implement AI/ML models more efficiently. They can also make applications ...

How lossless data compression can reduce memory and power requirements. How ZeroPoint’s compression technology differs from the competition. One can never have enough memory, and one way to get more ...

Researchers demonstrate DNA-based electronic memory controlled by metal ions, enabling read-write-erase functions on a chip and opening pathways for ultra-dense, low-power molecular data storage ...

Electronic systems integrate semiconductor devices, specialised sensors and digital logic to monitor, process and act upon information from the physical world. At their core lie transistors and ...

A breakthrough development in photonic-electronic hardware could significantly boost processing power for AI and machine learning applications. The approach uses multiple radio frequencies to encode ...

Flexible electronics such as flexible sensors, flexible circuits, and flexible actuators hold promising applications in robotic systems. They can effectively enhance a robot's intelligence, enabling ...

As edge AI adoption accelerates, printed circuit boards (PCBs) play a crucial role in bridging AI and hardware. Serving as the foundation for electronic components, PCBs enable seamless integration of ...

Inventec has formed a joint venture with India's top electronics manufacturer, Dixon Technologies, to localize production of notebooks, servers, desktops, and electronic components. The new company, ...

The field of electronics, sensors and digital hardware underpins modern technological progress by integrating miniaturised processing units, advanced sensor systems and robust digital circuitry to ...