Mobility takes up 30% of the global energy consumption. With digital technology and growth in e-commerce and platform-type of business models, mobility solutions are transforming. Join us at this panel discussion followed by a breakout session to discuss the future of mobility and what the sector can do to better address changing customer needs.
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This talk will focus on the hardware and software considerations of quantum computing. Dr Yvonne Yuan Gao, Scientist, A*Star will first provide an overview of the current hardware landscape and highlight some of the key challenges in realising universal quantum computing. The speakers will also discuss the appeal of a modular approach to scaling up quantum systems for greater computational power and complexity. Finally, we will look into some of the recent experimental progress in implementing quantum error correction, logical operations, and quantum algorithms using superconducting microwave circuits.
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Quantum computing was ranked as one of the top 10 breakthrough technologies in 2017 by MIT Technology Review, and Morgan Stanley has predicted it could help double the value of the high-end computing market to reach $10 billion in the next decade. While a fully-fledged quantum computer is yet to come, development over the past five years has been fast. The promise of such machines to massively outperform classical computers at some tasks makes quantum computing a potentially disruptive technology. Applications include quantum speedups for artificial intelligence, financial modelling, drug design, and big data analysis.
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In a recent study of 800 decision-makers conducted by Oracle, 80% of respondents said that they have already used chatbots or are planning to use chatbots by 2020.
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Smart contracts may revolutionise commercial transactions insofar as they create legally binding relations and are enforceable in a suitable dispute resolution forum.
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The development of quantum computing is accelerating. Technology companies are rolling out cloud access to quantum computers, with venture-backed startups racing to build software and find quantum speed-ups for relevant problems. What are the potential early applications? What are the challenges in developing large-scale quantum computers? How can companies prepare for the quantum era? The event will feature an introduction to quantum computing and a panel discussion with representatives from the local quantum community.
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Helmed by Electrify.Asia, this event seeks to spark conversations on the evolution of the energy industry. Themed The New Normal, bold predictions for the future of energy beget doubts and challenges. Where do we see ourselves in twenty years? And how will innovations like energy storage, peer-to-peer energy trading and grid innovations lead us into that future?
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Join us at our monthly pitch day (by-invite-only) where a curated pool of startups pitch to raise funds for their startups. During the session, you will also find out more about what AngelCentral does to build an active community of effective and competent angel investors in Southeast Asia.
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In Singapore's first grounds-up social innovation hackathon, participants will work on six exciting and meaningful challenge statements sourced from community partners in Leng Kee constituency. Challenge statements will address issues faced by the elderly, people with disabilities, and families in crisis.
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Mobile technology has been one of the largest contributors to big data for the past several years. The implementation of app-enabled smart phones and now the growth of the wearable device market are all creating massive new data flows that can be put to use for health and other purposes. Join our deep tech entrepreneurs as we discuss how wearables and data insights are delivering better care to all.
Topics: Artificial Intelligence / Deep Learning / Machine Learning / Robotics, MedTech / HealthTech / BioTech, Data Science / Data Analytics, Others
Many CFOs fears their organizations are not sufficiently prepared for the disruptive market trends, where one of their concerns which is not able to optimise their planning & budgeting and forecasting for their financial efficiency and business insights. In order to be "Performance accelerators", these organizations must leverage on (Analytics lifecycle) more extensively to plan for future and reduce risks.
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