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.
The volume of data produced in the world is growing rapidly. Data is the basis for many new products and services, driving gains in productivity and resource efficiency. In the future, a large part of the data will come from industrial applications and sensors via the Internet of Things (IoT). Artificial Intelligence (AI) already plays an important part in analysing these high-volume and high-velocity data streams and deriving valuable information and predictions from them.
With the purpose to connect the science, technology and innovation ecosystems between Japan and Singapore for knowledge sharing and collaboration opportunities, SGInnovate and the Japan Science & Technology Agency are co-presenting a series of talks by notable startups, researchers and corporate innovators on various deep tech topics.
Policymakers, businesses and innovators around the world increasingly recognise the importance of advanced manufacturing and robotics. The use of robotics in sectors such as healthcare, automotive, electronics and in several other businesses continue to advance, expand and evolve at a rapid pace with a robust digital transformation strategy.
Artificial Intelligence (AI) has been hailed as both the hero and the villain of future business scenarios. While many believe it will result in mass redundancies and global disruption, others see a new dawn of enlightened management and ultra-efficiency that will spur a wave of new business opportunities. However, the scale of impact is still unclear as to how the implementation of AI in the workplace will affect on-the-ground management and leadership in companies in the 21st century.
Innovations in science and technology have fundamentally transformed the human landscape of the 21st century. From innovative urban solutions and health technologies to sustainable food and energy sources, this rapid development of science and technology has changed the way we live, work and play, delivering stronger economic progress and higher quality of life. However, at the same time, these advancements continue to raise global ethical, environmental and social issues such as climate change, social inequality and digital divide.