CircleUp: Riding The Wave of Machine Learning Into Your Pantry
CircleUp is ambitiously bringing a machine learning platform to life to enable the company to be more intelligent about sourcing, evaluating, and investing in CPG startups.
CircleUp is ambitiously bringing a machine learning platform to life to enable the company to be more intelligent about sourcing, evaluating, and investing in CPG startups.
Additive manufacturing enabled soft robotics – Robots exploring the depths of our oceans or performing life-saving surgery: Near-time reality or vision of a far-off future?
Through weather predictability, soil sensor data, drone imaging, and white space connectivity, Microsoft's FarmBeats seeks to use machine learning to increase crop yields and meet food demand that is projected to double by 2050.
Companies like DrillingInfo are helping develop new machine-learning applications for the oil and gas industry
The video game market has grown rapidly in the decade and is now estimated to reach $143.5 billion dollars by 2020.[1] The innovative nature of the industry has driven great advancements in software development, such as ultra-realistic 3D visualizations and […]
Kroger looks to leverage big data and machine learning to win its share of consumer stomachs, and wallets
Imagine preventing the onset of diabetes, Alzheimer's, or cancer through eating the right foods. Rather than wondering if kale eaten today will truly lead to longevity tomorrow, envision a grocery store shelf that told you exactly which ingredients to eat depending on your specific health needs. Food technology start-up Nuritas is hoping to make that scenario a reality. By harnessing solutions that nature has already given us, Nuritas is using machine learning to identify the exact food-derived bioactive peptides that can cure or prevent a particular disease.
A brief look at investments in additive manufacturing by GE and implications for the future
In the competitive world of professional basketball, organizations such as the Toronto Raptors are turning to AI to improve the roster decision process in order to gain a competitive advantage in the race for a championship team.
The proliferation of misinformation, or fake news, on social media platforms has become a serious problem. Facebook – largely considered to be the main culprit in this controversy – is leaning heavily on machine learning to fight off this issue.