We first thank the reviewers for their insightful comments which we have taken into careful consideration. If our work were to be evaluated using only performance metrics, this criticism would be fair. Learning paradigms for networks of'convex layers' have been shown to be effective (e.g. The key advance over standard SCNs is that we show how to perform non-linear computations in these systems. Standard SCNs such as in Boerlin et al (2013) are restricted to linear computations. It may seem surprising, but such layers are actually not well understood!

We first thank the reviewers for their insightful comments which we have taken into careful consideration. If our work were to be evaluated using only performance metrics, this criticism would be fair. Learning paradigms for networks of'convex layers' have been shown to be effective (e.g. The key advance over standard SCNs is that we show how to perform non-linear computations in these systems. Standard SCNs such as in Boerlin et al (2013) are restricted to linear computations. It may seem surprising, but such layers are actually not well understood!

Data-driven approaches to philosophy have emerged as a valuable tool for studying the history of the discipline. However, most studies in this area have focused on a limited number of journals from specific regions and subfields. We expand the scope of this research by applying dynamic topic modelling techniques to explore the history of philosophy in Colombia and Latin America. Our study examines the Colombian philosophy journal Ideas y Valores, founded in 1951 and currently one of the most influential academic philosophy journals in the region. By analyzing the evolution of topics across the journal's history, we identify various trends and specific dynamics in philosophical discourse within the Colombian and Latin American context. Our findings reveal that the most prominent topics are value theory (including ethics, political philosophy, and aesthetics), epistemology, and the philosophy of science. We also trace the evolution of articles focusing on the historical and interpretive aspects of philosophical texts, and we note a notable emphasis on German philosophers such as Kant, Husserl, and Hegel on various topics throughout the journal's lifetime. Additionally, we investigate whether articles with a historical focus have decreased over time due to editorial pressures. Our analysis suggests no significant decline in such articles. Finally, we propose ideas for extending this research to other Latin American journals and suggest improvements for natural language processing workflows in non-English languages.

So far, the main areas of AI use in insurance include customer experience, process optimization and product innovation. Insurers already collect heaps of data; with artificial intelligence, they can use it to its full potential and improve at every level, from automating call center request processing to helping make accurate assessments and executive-level decisions. Through its power to recognize patterns and anticipate actions, AI can provide a predictive environment where risks are anticipated and hedged. So far, it seems that the main areas of AI application in insurance include customer experience (58%), process optimization (43%) and product innovation (19%), according to a 2018 study by Everest Global. AI could also be applied to fraud, which a report by the FBI shows costs more than $40 billion per year.

Artificial intelligence can be applied to almost every part of the pharma industry. Christopher Rafter discusses its many uses and how the adoption of machine learning will increase in the future. Artificial intelligence (AI) has wide-reaching potential within the pharmaceutical industry, from clinical trials to marketing and sales analytics. Using a machine learning programme can reduce the time spent on examining data, saving money and allowing researchers to focus on other issues. European Pharmaceutical Review's Victoria Rees spoke with Christopher Rafter, Chief Operating Officer (COO) of Inzata Analytics, to discover more about AI in pharma and its capabilities.

Artificial intelligence, automation, and robotics have transitioned from being a hot topic to a reality in the business world. AI drives business value, but success requires more than just switching processes from manual to automated. In our previous blog on How to Prepare for the Future of Work, we talk about identifying trends and preparing your workforce and business to more easily adapt to change. Successfully integrating AI within your business requires an end-to-end solution that follows a holistic approach and invests in the right type of robotics. Forrester Research defines a company's competency at automation and AI implementation as robotics quotient or "RQ." Organizations with a higher RQ are more ready to successfully integrate this type of innovation within their company.

The banking industry has been quite resistant to change ever since its beginnings. But financial services are not immune to the biggest technological revolution the word has attested caused by AI. Apart from being under pressure to adapt to the digital economy, banks have started to discover some really valuable AI use cases. AI has made progressive inroads in the financial sector and is reshaping banks' approach to their people, processes and data. From customer service automation with chatbots, security, fraud prevention and detection, all the way to internal process optimisation, the AI is transforming the traditional way banks work.

Hey, you know that I'm big supporter of women in tech. I'm actually partnering with Women Who Tech for the 4th Women Startup Challenge at Google and focused on women-led ventures in artificial intelligence (AI), augmented reality (AR), and virtual reality (VR). Note: if you haven't applied you have until December 12th to get your applications in. The winner will receive $50,000 as a cash grant, and $15,000 in probono legal services by global law firm Paul Hastings, LLP. All finalists will join join Samsung for a special startup showcase and reception featuring the 10 finalists.