On 22nd November, we marked our second anniversary at 32 Carpenter Street with our close friends and partners from the deep tech ecosystem. Finance Minister Heng Swee Keat was the Guest-of-Honour for the event.
Topics: Startups, Investments, Others
Wednesday, December 26, 2018
Given the complexities of human morality, it might be impossible to design ethical AI; but developers should nonetheless always be alert to potential biases.
Topics: A.I., Data Science / Data Analytics, Others
What it means from an investment perspective
Topics: A.I., Blockchain, MedTech, Data Science / Data Analytics, Startups, Investments, Others
Next-generation batteries will power the future of renewable energy, say the founders of Singapore-based ultracapacitor startup Involt.
Topics: A.I., Data Science / Data Analytics, Startups, Talent, Investments
From loo-building projects to social enterprises and even smart toilets, World Toilet Organisation founder, Mr Jack Sim, turns to innovation to address a neglected public health crisis: poor sanitation.
Blockchain’s applications extend well beyond cryptocurrencies and into any realm where trust is of paramount importance, says Ms Swati Chaturvedi of Propel(x).
Topics: Blockchain, CleanTech, Startups, Investments
Blockchain protocols need to be scalable, faster and more secure before they can enter mainstream use, says NUS Assistant Professor and entrepreneur Prateek Saxena.
Topics: Blockchain, Startups, Investments
With healthcare systems at varying stages of evolution, the opportunity to deploy deep technology solutions in ASEAN is massive.
Blockchain-based platforms could slash energy costs and accelerate the adoption of renewable energy; yet the nascent technology isn’t an instant formula for success.
Topics: Blockchain, MedTech, Investments, Others
Augmenting oncology with technology can help physicians make more informed decisions and drive better patient outcomes. This article is written by Dr Tan Min-Han, the founder and CEO of Lucence Diagnostics.
Topics: A.I., MedTech, Data Science / Data Analytics, Investments