Building a Better Future – 3D Printed Housing at WinSun
WinSun is using 3D printing in construction to lower costs and timelines while protecting against pollution and corruption
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Disruption in the automotive business: how distributed innovation can change a 100-year-old industry?
Local Motors Inc. is using open innovation to efficiently change the product development process of a typical car manufacturing company, quickly delivering low-cost and creative designs to customers.
Can AI Help Tyson Foods Lead The Protein Revolution?
Artificial intelligence is forcing car manufacturers to change. Will the same thing happen to Tyson Foods?
Faster, Cheaper, Better: The Promise of Machine Learning for Drug Discovery
GSK is rethinking its drug discovery pipeline using machine learning
Activision-Blizzard (ATVI): Using Machine Learning for videogames development and community moderation
The videogames market is large (with expected revenues of $138 billion [1]) but highly fragmented, with multiple corporations vying for market share. Increasingly, traditional companies like F1 motorsports are moving into videogames to expand their core product offering [2]. Hence, […]
Are Killer Robots the Future of Modern Warfare
As AI and Machine Learning continue to develop, how will this affect the way we fight wars.
Achieving more with less in pharma R&D: Takeda’s open innovation programs
Japan’s oldest and largest pharmaceutical company chose open innovation as a tool to compete in the race to increase R&D productivity
The Promise and Perils of Machine Learning in Pharmaceutical Drug Development
A look at GlaxoSmithKline's efforts to incorporate machine learning into their drug development processes.
Progressive Insurance: Are you a good driver? Let Machine Learning tell you
The insurance sector is not traditionally ahead of the curve when it comes to new technologies. But for this particular time, Machine Learning is tailor-made for the insurance industry.
Optum: Machine Learning at the center of Health Care
A brief analysis of Optum and its capabilities and challenges towards developing and implementing machine learning in the Health Care industry.