Artificial intelligence (AI) has changed our lives, particularly its subtype, deep learning. Practical examples of AI impacting our daily lives are conversational chatbots, facial recognition and language translations to name a few. These advances have begun to percolate into medicine, with deep learning systems capable of diagnosing skin cancer and fully autonomous AI approved for diabetic retinopathy screening as just a few examples. Although AI-enabled healthcare has vast potential, we are only in its early stages. As the field matures and there is increased interest in developing AI technologies for healthcare, a key consideration is how innovators and healthcare personnel can be educated about these advances and what roles they will assume in designing, validating, and implementing these technologies.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech
Industry: Health and BioMedical Sciences
Growing and leveraging Deep Tech solutions requires support and buy-in from an entire ecosystem. Here, we view it as the problem-driven application of advanced technologies to address large-scale issues. Practically, a three-way approach involving Advanced Science, Engineering, and Business Modelling is required to identify the right problem set to be solved, the fundamental technology/technologies to build on, and how solutions can be ramped up for large-scale delivery.
Topics: AI / Machine Learning / Deep Learning
Industry: Advanced Manufacturing
Date: 28 June 2022, Tuesday
Time: 7:00pm - 9:00pm (Singapore Time / UTC +8)
Programme:
6:45pm – 7:00pm: Registration and Networking
7:00pm – 7:15pm: Introduction and Welcome
7:15pm – 8:45pm: Presentation on A Brief Introduction to ML Security: Robustness Testing with
Topics: AI / Machine Learning / Deep Learning
Industry: Others
There is no denying the promising opportunities for Artificial Intelligence (AI) and Machine Learning (ML) in healthcare. But the introduction goes slowly, and that is largely because there is always a desire and demand by the healthcare field to carefully assess these complex data-driven AI algorithms before they are to be applied and disseminated in daily healthcare. How can we guarantee that these AI applications live up to our desired standards, and how can we assess their quality in healthcare? The Dutch Ministry of Health, Welfare and Sport asked more than 50 field experts and healthcare professionals from all possible disciplines to research what they consider good professional conduct in developing, testing, and implementing AI algorithms in the healthcare sector, including in the public and prevention healthcare sector. The research, led by Prof Dr Carl Moons, resulted in a publicly accessible set of criteria and an online course that healthcare organisations and providers, citizens, patients, insurance companies and policymakers, AI developers and manufacturers will benefit from. This research also enlarges trust and uniformity when developing, purchasing, using or having AI-driven devices used on them.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech
Industry: Health and BioMedical Sciences
Accounting for about 64% of global oil consumption, 27% of all energy use, and 23% of the world’s energy-related carbon dioxide emissions, transport is at the center of many economic and social development challenges.
Topics: AI / Machine Learning / Deep Learning
Industry: Advanced Manufacturing
Green hydrogen - produced through renewable energy, only accounts for 0.1% of global hydrogen production. Its potential is immense and undeniable as a clean energy source and a sustainable way for carbon-heavy and energy-hungry industries such as shipping, transportation and mobility to decarbonise.
Topics: Advanced Materials and Engineering, AI / Machine Learning / Deep Learning
Industry: Urban Mobility (USS)
Artificial Intelligence (AI) and machine learning solutions are poised to reshape healthcare delivery as the landscape of medical AI have matured considerably. Just a few years ago, only a handful of medical AI algorithms were used successfully to detect diseases from medical images. Fast forward to today, there is an increase in the number of robust use cases of AI in healthcare. However, challenges remain. The commercialisation of medical AI systems for deployment into existing healthcare systems inherently lies many complex issues and requires careful navigation to ensure its adoption.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech, Startup and Corporate Open Innovation
Industry: Health and BioMedical Sciences
Artificial Intelligence (AI) and machine learning solutions are poised to reshape healthcare delivery as the landscape of medical AI have matured considerably. Just a few years ago, only a handful of medical AI algorithms were used successfully to detect diseases from medical images. Fast forward to today, there is an increase in the number of robust use cases of AI in healthcare. However, challenges remain. The commercialisation of medical AI systems for deployment into existing healthcare systems inherently lies many complex issues and requires careful navigation to ensure its adoption.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech
Industry: Health and BioMedical Sciences
Morning Pitch is a pitching platform hosted by Deloitte Tohmatsu Venture Support. This platform helps startups form business alliances and partnerships with large corporations, corporate venture capitals and venture capital firms. The focus for this Morning Pitch is on Smart Cities.
Topics: 5G Technology, AI / Machine Learning / Deep Learning, Startup and Corporate Open Innovation
Industry: ICT
A movement that is transforming the way we understand technology - Deep Tech is shaping our world in ways we have never seen before. According to Boston Consulting Group, Deep Tech investment quadrupled from $15 billion to $60 billion, with global venture investments increasing by 70%, between 2016 and 2020.
Topics: AI / Machine Learning / Deep Learning, Talent and Mentoring, Others
Industry: Others
Morning Pitch is a pitching platform hosted by Deloitte Tohmatsu Venture Support. This platform helps startups form business alliances and partnerships with large corporations, corporate venture capitals and venture capital firms. The focus for this Morning Pitch will be on Logistics.
Topics: Advanced Materials and Engineering, AI / Machine Learning / Deep Learning
Industry: Logistics & Supply Chain
Reinforcing Singapore's attractiveness as a springboard of new technologies and a Deep Tech hub is easier said than done. To propel Singapore's Smart Nation and Digital Economy to a greater height, leaders and doers from every industry, business and government agency have to continue to grow, innovate, develop and scale together through the deployment of emerging technology solutions and fostering the growth of tech talent and capabilities.
Topics: 5G Technology, AI / Machine Learning / Deep Learning, Deep Tech for Good, Industry 4.0 and Robotics, MedTech / HealthTech / BioTech, Startup and Corporate Open Innovation, Sustainability
Industry: Others
