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Category: 10^9 impact

Robotics | IoT

Solutions to the World’s Biggest Problems Are Within Our Reach

At Singularity University (SU) we believe it is possible to solve today’s most pressing problems within the next couple decades. We call these the global grand challenges (GGCs). Our ambition and optimism stem from the nature of exponential technologies and their capacity to bring real, affordable solutions to billions in increasingly shorter and shorter time frames—while also empowering all people from around the globe to solve the challenges we each see around us. Many important… read more

Five Startups to Watch From Singularity University’s 2015 Global Solutions Program

For 10 weeks each summer, a group of impact-driven individuals from around the world come to Singularity University’s Silicon Valley campus to embark on our flagship Graduate Solutions Program (GSP). Seven weeks into the program, the participants take on SU’s 10^9 challenge with the goal of building a company that will positively impact a billion people in 10 years by leveraging exponential technology. For many of these teams, GSP is only the beginning. Here’s a look inside five GSP 2015 team projects turned into startups and some of their post-program achievements. Applications for the 2016 Graduate Solutions Program are open until February 22nd. Click here to begin your application. 1. Aipoly: Artificial intelligence for the blind The Team: Marita Cheng, Alberto Rizzoli, Simon Edwardsson Aipoly is an intelligent smartphone assistant for the visually impaired. Users take a photograph of a scene in front of them, which is then uploaded to Aipoly’s server, analyzed, and tagged. A description of the scene is read back to the user via text-to-speech. Aipoly’s app officially launched this January and was released in Apple’s app store. Since launch, 33,000 visually impaired individuals have downloaded the app. Co-founder Marita Cheng was recently listed as #6 in StartUp Daily’s Top 50 Female Entrepreneurs under 40, and the company won a booth at CES 2016 after being named a winner of a CEA Foundation contest. The company has been written up in TechCrunch, The Daily Dot, Kurzweil AI, and more. 2. AIME: Artificial intelligence in medical epidemiology The Team: Rainier Mallol, Dhesi Baha Raja AIME is using big data analytics and machine learning to predict the location and time of infectious disease outbreaks in real time. During tests of their dengue prediction platform in Malaysia and Brazil, AIME predicted where outbreaks would occur with 84-88% accuracy in advance of the outbreak. After GSP,… read more

There’s a Robot Waiting to Treat Your Predicted Heart Attack (Interview)

Habib Frost, Medical Innovator & Entrepreneur Copenhagen, Denmark Like the swinging of a pendulum, the mind of an inventor is often inspired by the voice of the critic; a filter… read more

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New Series on Exponential Entrepreneurs Launches Today

Behind every great leader is a distinct journey—a trail of unique moments, memories, and experiences that, when woven together, make the individual into who they are. The stories of inspiring… read more
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Taking Flight: Meet the Startups of the 2015 Inaugural SU Labs Accelerator

This Monday (September 28th) we welcomed the first group of startups entering the inaugural SU Labs Accelerator. The accelerator is a rigorous 10-week track in which seven startups progress through… read more
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