Neuro-Symbolic Artificial Intelligence (AI) is an emerging and quickly advancing field that combines the subsymbolic strengths of (deep) neural networks and explicit, symbolic knowledge contained in knowledge graphs to enhance explainability and safety in AI systems. This approach addresses a key criticism of current generation systems, namely their inability to generate human-understandable explanations for their outcomes and ensure safe behaviors, especially in scenarios with \textit{unknown unknowns} (e.g. cybersecurity, privacy). The integration of neural networks, which excel at exploring complex data spaces, and symbolic knowledge graphs, which represent domain knowledge, allows AI systems to reason, learn, and generalize in a manner understandable to experts. This article describes how applications in cybersecurity and privacy, two most demanding domains in terms of the need for AI to be explainable while being highly accurate in complex environments, can benefit from Neuro-Symbolic AI.

The past 18 months have transformed society – and sped up the digital transformation of our world. On the plus side, digital technologies allowed business and society to continue to function even during lockdowns – helping companies survive, vulnerable people access healthcare and children continue to learn. When the worst of the pandemic is, someday, behind us, we'll be able to take many of these lessons – and technological advancements – with us to enable greater access to healthcare (especially mental healthcare), education, job training and finance. And it provided a much-needed boost to the pandemic economy. The UN's Sustainable Development Report 2021 highlighted the role of technology manufacturing as a key driver of the economic recovery, citing the rise in demand for computer electronics due to the global shift toward working from home, remote-learning and e-commerce.

The past 18 months have transformed society – and sped up the digital transformation of our world. On the plus side, digital technologies allowed business and society to continue to function even during lockdowns – helping companies survive, vulnerable people access healthcare and children continue to learn. When the worst of the pandemic is, someday, behind us, we'll be able to take many of these lessons – and technological advancements – with us to enable greater access to healthcare (especially mental healthcare), education, job training and finance. And it provided a much-needed boost to the pandemic economy. The UN's Sustainable Development Report 2021 highlighted the role of technology manufacturing as a key driver of the economic recovery, citing the rise in demand for computer electronics due to the global shift toward working from home, remote-learning and e-commerce.

Consumers are rooting for AI, but many also see some potential pitfalls. Artificial intelligence is viewed as a way to solve issues ranging from those related to cybersecurity and privacy to global education, based on a study out today. The study is based on a survey of a nationally representative sample of 2,500 U.S. consumers and business decision makers aimed at exploring attitudes towards artificial intelligence conducted by PwC. Participants were screened for basic familiarity with AI. The majority (63%) of consumers say AI will help solve complex problems that plague modern societies and 59% say it will help people live more fulfilling lives.