Volume 1 Issue 3, March 2024

Memristor devices have shown notable superiority in the realm of neuromorphic computing chips, particularly in artificial intelligence (AI) inference tasks. Researchers are now grappling with the intricacies of incorporating in situ learning capabilities into memristor-based chips, paving the way for more powerful edge intelligence.

Modular robotics offers design flexibility that could enable the scale-up of robotic systems for marine applications. We have developed simple repeating cubic modular components that can be assembled and reconfigured to create different types of underwater robots for marine applications, enabling them to navigate and perform tasks underwater with ease and efficiency.

Evolution and interdisciplinarity are key words for Elisa Vianello, senior scientist and Edge AI program coordinator at CEA-Leti, who talks to Nature Reviews Electrical Engineering about her research activity and the importance of bridging the gap between academia and industry.

An article in Nature Communications presents a spectral multiplication approach to obtain THz-tunable and broadband electro-optic combs using integrated multi-wavelength semiconductor lasers.

An article in Nature Electronics presents how to use electron-beam lithography to obtain p- and n-type vertical organic electrochemical transistor matrix arrays and complementary logic circuits.

Chirality fundamentally determines the electrical properties of CNTs and is therefore critical for the performance of CNT electronics. This Review summarizes approaches in controlling the global chirality distribution and local chirality junctions and discusses the progress in CNT electronics.

The increasing integration of renewable energy technologies into power systems poses challenges owing to the large uncertainties associated with renewable energy production. This Review investigates the ability of artificial intelligence-based methods to improve forecasts, dispatch, control and electricity markets in renewable power systems.

Two-dimensional MXenes have emerged as state-of-the-art functional electromagnetic interference shielding materials in multispectral electromagnetic bands. Highly conductive and ultrathin films of MXenes can efficiently block electromagnetic waves from radiofrequency and gigahertz-range microwaves to terahertz or infrared-frequency waves.

The rapid development of on-body sensors and multimodal artificial intelligence is accelerating the emergence of the human body digital twin (DT) as an interdisciplinary research topic. This Perspective outlines a roadmap for applications of human body DTs in health monitoring, disease prevention and treatment.