New types of artificial intelligence (AI), from cognitive assistants to social robots, are challenging meaningful comparison with other kinds of intelligence. How can such intelligent systems be catalogued, evaluated, and contrasted, with representations and projections that offer meaningful insights? To catalyse the research in AI and the future of cognition, we present the motivation, requirements and possibilities for an atlas of intelligence: an integrated framework and collaborative open repository for collecting and exhibiting information of all kinds of intelligence, including humans, non-human animals, AI systems, hybrids and collectives thereof. After presenting this initiative, we review related efforts and present the requirements of such a framework. We survey existing visualisations and representations, and discuss which criteria of inclusion should be used to configure an atlas of intelligence.

This paper presents a novel method for anomaly detection in a helical gear box, where the objective is to predict incipient faults before they become catastrophic. The anomaly detection algorithm relies on symbolic time series analysis and is built upon concepts from automata theory, information theory, and pattern recognition. Early detection of slow timescale anomalous behavior is achieved by observing time series data at the fast time-scale of machine operation.

Coronavirus 2019 (COVID-19) has disproportionately affected nursing home (NH) residents, accounting for at least one-third of COVID-19 deaths. Moderna and Pfizer-BioNTech messenger RNA (mRNA) COVID-19 vaccines are highly effective and safe in preventing severe COVID-19 disease. 1-3 Consequently, NH residents and staff were vaccinated through the CDC's Pharmacy Partnership of Long-Term Care Program 4 clinics.Despite proven vaccine effectiveness, vaccine hesitancy among NH staff has been a considerable barrier to vaccination, with majority of hesitant staff reporting concerns about adverse effects (70%). 5 For NH residents, scarce information about adverse effect data exists as vaccine trials have generally excluded them, although COVID-19 vaccine administration has been deemed to be safe in older adults. [6][7][8][9] In this prospective observational study, we examined the proportion of NH residents and staff who reported localized and systemic side effects after administration of the Moderna COVID-19 vaccine. Our study population included 193 individuals who

Depletion in rising fuel prices and greenhouse gas emissions can be aided by electrified transportation. This evolution urges an installation of diversified charging networks, in an adaptable environment, to be successful. Wireless electric vehicle charging systems (WEVCS) can be a probable substitute technology to charge the EVs without any plug-in complications. In this paper, the present-day available wireless power transmit technology for electric vehicle is examined. And explanation of two prime applications of WEVCs and record of their progress with up-to-date features from universities, research laboratories are examined and presented. Moreover, the futuristic WEVCS; in-wheel and vehicle-to-grid WCS are compared with the existing ones.