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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.
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.
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.
The ‘uncanny valley’ has guided robot engineers on the limits of human likeness, yielding design principles to mitigate the risk of creepy robots. Yet unease with advancements in AI has exposed a new ‘uncanny valley of mind’, with researchers now exploring acceptable boundaries on simulating human intelligence, emotion, empathy and creativity.
For the transition to a sustainable energy sector, massive hydrogen production and use is crucial. There is growing awareness of a connection between an indirect global warming potential and the production of hydrogen, so its fugitive emissions must be addressed. This Comment emphasizes the need for affordable hydrogen-sensing methods to benefit safety, energy efficiency and the climate.
Addressing the electronic-waste crisis requires global cooperation to enhance recycling, innovate in sustainable materials management and embrace eco-design. By viewing electronic waste as valuable ‘urban mines’, we can unlock a circular economy and ensure the sustainable recovery of strategic metals, fostering a greener, more sustainable future.
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.
A general-purpose framework and continuous miniaturization have been key to the success of CMOS technology. However, the recent explosion in compute requirements across a growing variety of architectures and applications is happening at a time when CMOS technology faces unprecedented scaling and cost challenges. This requires reimagining of the existing paradigm.
Imagine a future in which your garments are intelligent, expressive and transform the way you perceive and communicate with your environment. This is the promise of e-textiles. E-textiles could revolutionize healthcare, communication and our relationship with technology. However, their sustainable commercialization requires a comprehensive approach that involves scientific advancements and ethical and societal evaluation.
The governments of nearly every major economy are pouring tens of billions of dollars into semiconductor industries every year. This Comment explores why governments see semiconductors as a strategic technology, and the tactics governments are using to shape the semiconductor industry.
In the process of memristive chip design, the intricate aspects of peripherals, programming, stability compensation and control logic are often neglected. Yet, the ultimate goal for commercial success hinges on new functionalities paired with a reliable chip that markedly surpasses CMOS in hardware performance and cost-efficiency.
