When the goal of curing Alzheimer’s trumps financial returns, a philanthropic VC fund begins to look more like a hub of open innovation. The Dementia Discovery Fund encourages risky innovators through its mandate to back a wide range of potential treatments for dementia.
In the backdrop of increasing ridership and almost zero tolerance for breakdown, Singapore’s rail operator, SMRT, is turning to machine learning and predictive maintenance to manage failure.
How does a company that was at the forefront of data processing and automation adapt with the emergence of machine learning to further enhance its product offering?
Align Technologies disrupted dentistry with Invisalign, a 3-D printed alternative to braces – but now the wide availability of additive manufacturing technology threatens their competitive advantage.
The University of Arizona has leveraged machine learning to push student retention to all time highs, but some critics have concerns about data privacy.
Additive manufacturing threatens to fundamentally disrupt the way parts are designed in the aerospace industry – can an established player like Rolls-Royce display enough agility to stay ahead in the market and capitalize on this new technology?
Solving the billion dollar unsold inventory problem in traditional retail
Machine Learning (ML) is changing the way healthcare systems operate, both in terms of internal processes and patient-facing interventions. How effective will it prove in the long run and will it be a tool to aid or a tool to replace traditional operations – these are the questions that the healthcare industry faces today.
Over the past few years, Airbnb has developed machine learning algorithms that change how hosts and guests interact with listings. It's a major departure from their early human-centered design days. How should the young company balance data-driven design with human-driven design?
Lumiena, a startup making “smart” LED lighting systems, couldn’t find the processing equipment it needed to make its novel products since the technology didn’t exist. Thanks to additive manufacturing, it made its own equipment, and this was a game-changer until its scalability was called into question.
