Artificial Intelligence (AI) is changing the world around us as AI applications grow. Every day in the Finance industry, AI systems are buying and selling millions of financial instruments, assessing insurance claims, assigning credit scores, optimising investment portfolios, etc. However, it is not enough for AI systems to perform well. We need to understand how they work so we can trust them enough to use them to their full potential.
Amidst its many applications to world-life problems, Artificial Intelligence (AI) shows huge potential in helping to alleviate the impact of global environmental challenges - one of which includes preparing for and responding to the threats of natural disasters. The applications range from post-disaster relief to intelligent property distribution, as AI provides a superior system of recognising useful information from satellite images to serve future disaster relief.
As much as we know that Artificial Intelligence (AI)/Machine Learning (ML) and big data are transforming the way businesses and people interpret and process information, to apply AI and ML to city planning is no easy feat.
With the rise of the digital economy, countries are increasingly powered by more Artificial Intelligence (AI) as the technology permeates every industry and much of human activity. AI can boost efficiencies, performance and productivity in various ways. And in a country like Singapore with a small and ageing workforce, Singapore has to tap on AI and automation to preserve its competitive advantage over other economies.
The journey for scientists to start Deep Tech companies can be daunting and risky, but there are no rewards without risks. Discover what it takes to turn your research into a successful business at this session with Innovators Under 35 alumni, Dr Benjamin Tee, and his fellow entrepreneurial scientist, Dr Harold Soh.
As most of society has experienced, the pandemic has affected many economies across the globe. For economies to emerge stronger post-COVID-19, resilience and reliability are key. Countries will have to uncover and master major trends reshaping the global economy and hasten their digitals shifts and structural transformations.
Deep Technology (Deep Tech) can solve significant societal problems in areas such as healthcare, urban mobility, sustainability and other issues. However, the research behind such technologies may take years before a discovery emerges.
While most of the available health care diagnostics that use artificial intelligence (AI) technologies are extraordinarily powerful, the adoption of these algorithms has been slow because results are difficult to verify, and they also do not include explanations of why a patient has a certain disease or disorder. However, a new type of algorithm called “explainable AI” (XAI) can be easily understood by humans. As a result, XAI is being increasingly relevant in healthcare, making it more likely that healthcare providers will actually use the associated diagnostics.
In today's society, more and more people have turned to online resources for various essential services and to obtain information about the world. Now, when the term "work from home" is no longer a stranger to all, it is all the more crucial to look into how businesses can better engage end consumers through digital platforms.
The COVID-19 pandemic has forced millions of people worldwide into a lockdown situation, ushering in an era of social distancing and telecommuting. In a local context, the Singapore Ministry of Manpower urges companies to minimise socialising and adopt working from home as a default option. It has become crucial for firms to rethink their approach to the future of work. Organisations are embracing technology, digital, and Deep Tech tools to maintain business continuity as long-term remote work is likely to feature heavily in future workplaces even as the world emerges from the lockdown. Social distancing measures have demonstrated the importance of a company’s IT team to operate with flexibility but made the challenges of virtual collaboration among engineers even more glaring.
Deep Tech – artificial intelligence, data science, medical technologies, quantum technologies, etc. holds the promise to improve the human condition and help address many grand challenges – in Health, Food, Climate Change and Sustainable Development, that humanity is facing.
At the same time as we recognise the positive impact of Artificial Intelligence (AI) in boosting the global economy (by as much as an additional USD 13 trillion by 2030), it is increasingly important to understand how AI can also help society and industry to build resilience, manage disruption and be more sustainable. This is especially relevant as the world is embracing a new normal after Covid-19.