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This paper aims to review in-memory computing (IMC) for machine learning (ML) applications from history, architectures and options aspects. In this review, the authors investigate different architectural aspects and collect and provide our comparative evaluations.

Collecting over 40 IMC papers related to hardware design and optimization techniques of recent years, then classify them into three optimization option categories: optimization through graphic processing unit (GPU), optimization through reduced precision and optimization through hardware accelerator. Then, the authors brief those techniques in aspects such as what kind of data set it applied, how it is designed and what is the contribution of this design.

ML algorithms are potent tools accommodated on IMC architecture. Although general-purpose hardware (central processing units and GPUs) can supply explicit solutions, their energy efficiencies have limitations because of their excessive flexibility support. On the other hand, hardware accelerators (field programmable gate arrays and application-specific integrated circuits) win on the energy efficiency aspect, but individual accelerator often adapts exclusively to ax single ML approach (family). From a long hardware evolution perspective, hardware/software collaboration heterogeneity design from hybrid platforms is an option for the researcher.

IMC’s optimization enables high-speed processing, increases performance and analyzes massive volumes of data in real-time. This work reviews IMC and its evolution. Then, the authors categorize three optimization paths for the IMC architecture to improve performance metrics.

In this short chapter, we seek to begin to understand what it might mean to ‘interrupt the legal person’. We do this in two parts. In the first part, we begin with the phrase itself and interrogate its components. Interrogating these components leads us to think of the legal person as a technical and grammatical question that varies across different legal traditions and jurisdictions, i.e., across different ways of living and speaking law (recall that juris-diction says to speak the law). In the second part, we briefly explore four versions or declinations of interruptions, each corresponding to a different kind of juris-diction or legal tradition. We see this chapter as itself a friendly interruption in (or of) a broad and rich conversation so as to encourage ourselves to be struck again by some things we may take for granted.

This paper aims to clarify the notion of artificial intelligence (AI), reviewing the present scope of the phenomenon through its main applications. It aims at describing the various applications while assessing the markets, highlighting some of the leading industrial sectors in the field. Therefore, it identifies pioneering companies and the geographical distribution of AI companies.

The paper builds upon an in-depth investigation of public initiatives focusing mostly on the EU. It is based on desk research, a comprehensive review of the main grey and scientific literature in this field.

The paper notes that there is no real consensus on any definition for this umbrella term, that the definition does fluctuate over time but highlights some of the main changes and advances that took place over the past 60 years. It stresses that, in spite of the hype, on both the business and consumer sides, the demand appears uncertain. The scope of the announced disruptions is not easy to assess, technological innovation associated with AI may be modest or take some time to be fully deployed. However, some companies and regions are leading already in the field.

The paper, based on desk research, does not consider any expert opinions. Besides, the scientific literature on the phenomenon is still scarce (but not the technical one in the specific research sectors of AI). Most of the data come from consultancies or government publications which may introduce some bias, although the paper gathered various, often conflicting viewpoints.

The paper gives a thorough review of the available literature (consultancies, governments) stressing the limitations of the available research on economic and social aspects. It aims at providing a comprehensive overview of the major trends in the field. It gives a global overview of companies and regions.

This paper identifies the new economic force regenerating the East Asian economies in the post‐crisis era. Based on the convergence of five main economic indexes, it reclassifies the ten East Asian entities into four tiers, and highlights the language similarities among the tiers. It also discusses the inter‐ and intra‐regional economic dynamics, and the implications on further regional trade/investment, financial cooperation and monetary integration, such as a possible unifying Asian currency.

This study aims to develop a manufacturing process management system which aims to benefit the excavation, collection and search of the mentors’ experience and knowledge. The coating painting industry is a typical small and medium-sized traditional industry and usually depends on master's experience to solve the manufacturing problem.

Based on the characteristics and manufacturing process of the architectural coating industry, this study develops a practical knowledge management system (KMS) with two stages. The first stage collects and analyzes manufacturing process data, and the second stage constructs the KMS of the manufacturing process.

This manufacturing process KMS can accumulate and share the operators’ experience and knowledge systematically; this KMS not only improves the apprentices’ skill and problem-solving abilities but also enhances the enterprise’s overall product quality, undoubtedly.

This manufacturing process KMS was designed to be implemented in architectural coating industry which is defined as a “3K” industry. Such a specific manufacturing process KMS is not a generalized principles system which is hard to apply to other industries because the different industries own different explicit and tacit knowledge which cannot be captured in this study simultaneously. Further research will try to design a more complete and integrated KMS for industry and combine it with other approaches such as TRIZ (Russian acronym for the theory of inventive problem solving), patent database and problem-solving tools.

The developments of this manufacturing process KMS software was based on systematic analysis and design. Using the architectural coating industry as an example, this system externalized the cognitive apprenticeship and developed a KMS based on the characteristics of the manufacturing process to preserve and share the valuable manufacturing process knowledge.

The paper extends knowledge management’s contribution to externalize the cognitive apprenticeship and develop a KMS. The adoption of this manufacturing process KMS enables employees to improve their techniques, skills and problem-solving abilities and enables companies to enhance the overall product quality.

This paper aims to develop a quality evaluation model for artificial intelligence (AI)-based products/services that is applicable to startups utilizing AI technology. Although AI-based service has risen dramatically and replaced many service offerings, in reality, startups are rarely to develop and evaluate AI services. The features of AI service are fundamentally different from the properties of existing services and have a great influence on the customer's service selection.

This paper reviews startups' development process, existing quality evaluation models and characteristics of services utilizing AI technology, and develops a quality evaluation model for AI-based services. A detailed analysis of a survey (application of the model) on customer satisfaction for AI speakers is provided.

This paper provides seven key features and 24 evaluation items for evaluating AI-based services.

This paper contributes to the growing need for methodologies that reflect the new era of AI-based products/services in quality evaluation research.

Value creation based on artificial intelligence (AI) can significantly change global healthcare. Diagnostics, therapy and drug discovery start-ups are some key forces behind this change. This article aims to study the process of start-ups' value creation within healthcare.

A multiple case study method and a business model design approach were used to study nine European start-ups developing AI healthcare solutions. Obtained information was performed using within and cross-case analysis.

Three unique design elements were established, with 16 unique frames and three unifying design themes based on business models for AI healthcare start-ups.

Our in-depth framework focuses on the features of AI start-up business models in the healthcare industry. We contribute to the business model and business model innovation by systematically analyzing value creation, how it is delivered to customers, and communication with market participants, as well as design themes that combine start-ups and categorize them by specialization.

The purpose of this paper is to investigate the impact of five dimensions of experiential advertising (cognitive, emotional, sensory, relational and behavioural) on advertising credibility in the banking sector.

A total of 277 undergraduate students were asked to complete a questionnaire after viewing two versions of a bank advertisement. Results were analysed using structural modelling equations (EQS 6.2).

Findings show that all dimensions of experiential advertising positively impact advertisement credibility. Cognitive/emotional/sensory advertisements exert the greatest impact, followed by relational and then behavioural advertisements which have only a marginal impact. Post hoc results show that the impact of experiential advertising on advertising credibility varies according to both actor and respondent gender.

This study enhances the literature on experiential marketing and credibility, especially banking sector advertising, and provides more in-depth insight into the role of respondent and actor gender in influencing responses. Financial services practitioners would be well advised to devote particular attention to the formulation of experiential strategies when developing advertising campaigns.

Given the dramatic changes taking place in society, the economy, and technology, 21st-century organizations need to engage in new, more spontaneous, and more innovative ways of managing. I investigate why an increasing number of companies are including artists and artistic processes in their approaches to strategic and day-to-day management and leadership.

The purpose of this paper is to explore the routine, everyday experiences and attitudes people bring to cooking and eating and aims to compare the significance of such culinary cultures to diets in France and Britain.

The initial phase of this qualitative, comparative research involved in-depth interviews with 13 French and 14 British citizens who were each asked to reflect upon foods eaten in the home, preparation methods and issues surrounding dietary practices and culinary cultures. The next phase of the research asked “experts” working within the field to reflect and elaborate upon the initial findings and in total ten French and nine British “experts” were interviewed.

The results reveal how to a greater extent French respondents relied upon raw ingredients from which they more regularly prepared “traditional”, structured and commensal meal occasions. Such a food model remains a significant part of everyday life and culinary cultures in France support the consumption of a relatively healthy diet unlike in Britain.

This is a small exploratory study based on a limited number of respondents. Further research would benefit from observing what people actually do rather than relying on what people say they do.

Those responsible for promoting healthier diets need to further prioritise the significance of culinary cultures to cooking practices and diet.

While the influence of domestic cooking practices on food intake has received some scholarly attention, this paper presents a more holistic insight into how culinary cultures can play a significant mediating role on diets more generally.