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This Review discusses the state-of-the-art power electronics in electric vehicles based on Si, SiC and GaN from an industry perspective, with a particular focus on the module power densities, efficiencies, costs and reliabilities with the 800-V battery.
Neuromorphic photonics is an emerging computing platform that addresses the growing computational demands of modern society. We review advances in integrated neuromorphic photonics and discuss challenges associated with electro-optical conversions, implementations of nonlinearity, amplification and processing in the time domain.
An article in IEEE Transactions on Wireless Communications proposes solutions for interference management in vehicle-to-everything communication systems by leveraging a one-layer rate-splitting multiple-access scheme.
Driven by trends such as GenAI, Automation and E-mobility, the global semiconductor demand is surging, consequently increasing the industry’s emissions. Given the increasing pressure for decarbonization — for example, from customers such as Apple, Google and Microsoft — semiconductor players need to increase their decarbonization efforts.
Flat optics enable light manipulation at the subwavelength scale and provide a compact, wave-based, information processing and acquisition platform. Here, Wang et al. focus on the emerging interdisciplinary field of computational flat optic imaging applications and reveal their intrinsic connections.
Hardware-aware neural architecture search (HW-NAS) can be used to design efficient in-memory computing (IMC) hardware for deep learning accelerators. This Review discusses methodologies, frameworks, ongoing research, open issues and recommendations, and provides a roadmap for HW-NAS for IMC.
The inherent differences in epistemologies and research methods in electrical engineering and earth science hinder interdisciplinary collaboration. In the context of climate change, this divide affects the shift towards long-term sustainability in global energy systems, prompting dialogue between the disciplines to enable effective interdisciplinary collaborations.
Current human–machine interfaces for controlling assistive devices fail to offer direct, arbitrary control over multiple degrees of freedom. Based on the implantation and tracking of small magnets in the residual muscles, the myokinetic interface could enable biomimetic, direct, independent and parallel control of artificial limbs.
Networking is an essential skill that offers several perks, from improving the visibility of research by effective communication with peers and scientific editors to advancing careers and building a lasting reputation.
The way in which researchers, scientists and engineers apply for jobs is very inefficient. Creating free online databases of candidates with filtering, ranking and video features could help to maximize reach and identify the most suitable person for each job offer much faster.
Magnetoelectric (ME) microelectromechanical and nanoelectromechanical systems (M/NEMS) are vital for addressing the challenges of the internet of things (IoT) networks in size, energy efficiency and communication. This Review delves into ME materials and M/NEMS for IoT applications, such as sensing and communication technologies.
An article in IEEE Journal on Selected Areas in Communications proposes algorithmic solutions to dynamically optimize MIMO waveforms to minimize or eliminate interference in autonomous machine-to-machine communications.
An article in Nature Machine Intelligence presents a neural signal-based speech decoding framework comprising interchangeable architectures for the electrocorticography decoder and a differentiable speech synthesizer.
Quantum computing can benefit from the advancements made in artificial intelligence (AI) holistically across the tech stack — AI may even unlock completely new ways of using quantum computers. Simultaneously, AI can benefit from quantum computing leveraging the expected future compute and memory power.
This Review systematically compares 2DMs and silicon metal–oxide–semiconductor field-effect transistors technologies in the integrated circuits engineering process and presents potential solutions for channel, contact and dielectric engineering using 2DM to address the scaling challenges faced by a silicon-based device at the advanced tech node.
Since the most advanced nodes in silicon are reaching the limits of planar integration, 2D materials could help to advance the semiconductor industry. With the potential for use in multifunctional chips, 2D materials offer combined logic, memory and sensing in integrated 3D chips.
This Review summarizes latest advancements in memristor-based hardware accelerators, an energy-efficient solution for computing-intensive artificial intelligence algorithms, covering crossbar arrays, peripheral circuits, architectures and software–hardware co-designs. It analyses challenges and pathways for the transition of memristor technology to commercial products.
Bias and distrust in medicine have been perpetuated by the misuse of medical equations, algorithms and devices. Artificial intelligence (AI) can exacerbate these problems. However, AI also has potential to detect, mitigate and remedy the harmful effects of bias to build trust and improve healthcare for everyone.
In the spirit of promoting gender equality, Sony, in partnership with Nature, has launched the ‘Sony Women in Technology Award’ to recognize and celebrate the remarkable women spearheading advancements in STEM.
