As a new initiative, Plug and Play Japan is planning to conduct regular Global DeepTech Pitch Events: "Next Level DeepTech" to introduce DeepTech startups which have cutting-edge technology in several fields such as Decarbonization, New Materials, Circular Economy, Mobility, Smart Cities, and Health. We believe this pitch opportunity is an important key for DeepTech startups to find collaboration opportunities with industrial players or large corporates globally to scale up further and solve social and environmental issues.
Topics: AI / Machine Learning / Deep Learning
Industry: Advanced Manufacturing
We are back with the HYBRID edition of Morning Pitch, featuring startups working in the Deep Tech space. We will host an in-person and online style Morning Pitch Asia in this session!
Topics: AI / Machine Learning / Deep Learning
Industry: Financial Services
BlueRun Ventures (BRV) is a leading early-stage venture firm with offices in Beijing, Shanghai and Singapore. Having its heritage in Silicon Valley since 1998, BRV has managed over $2 billion through multiple USD and RMB funds.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech, Blockchain, Industry 4.0 and Robotics, Startup and Corporate Open Innovation
Industry: Others
The emergence of frontier technologies will drive the next phase of digitally enabled growth globally. While estimates predict the full realisation of these technologies may be a decade away, many early-stage applications are already driving a significant competitive advantage.
As we look to a future in which literacy, interest, and technical capabilities in frontier technology are in demand, where do women feature in the conversation?
This roundtable will bring together leaders at the forefront of shaping the future tech ecosystem to discuss the challenges and changes needed to ensure inclusion of more women in the field.
Topics: AI / Machine Learning / Deep Learning
Industry: Others
What does Web 3.0, Data Trusts, and Privacy Enhancing Technology (PET) have in-store for data sharing?
Topics: AI / Machine Learning / Deep Learning, Computer Science, Industry 4.0 and Robotics
Industry: ICT
We are back with the HYBRID edition of Morning Pitch, featuring startups working in Web3, Metaverse & Blockchain space. We will host an in-person and online style Morning Pitch Asia in this session!
Topics: AI / Machine Learning / Deep Learning
Industry: Financial Services
Metaverse and Web3.0 have become the latest buzzwords. Besides large technology companies such as Meta, Microsoft, NVIDIA, and Tencent announcing ambitious plans to invest in the Metaverse, we have also observed consumer brands such as Nike and Gucci taking an interest in the space.
Some have described the Metaverse as akin to the Internet revolution we saw in the 1990s, but beyond gaming, NFTs and virtual lands, what do Metaverse and Web3.0 really mean to businesses? How and when should businesses and corporates partake in the Metaverse and Web3.0 movement?
Topics: AI / Machine Learning / Deep Learning
Industry: Others
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 them.
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
