Smart from start to finish: GM’s path to new processes and products
General Motors uses intelligent assembly lines to manufacture the intelligent cars of tomorrow
General Motors uses intelligent assembly lines to manufacture the intelligent cars of tomorrow
Mobileye uses deep learning and crowd-sourcing to sense, map, and navigate the road. New ownership under Intel can help provide the processing and connectivity needed to take this technology to the next level, but with data being the driver of success, how can Mobileye build a broad network across automakers in a competitive market?
The Boston Red Sox upgraded their machine learning capabilities to provide user-friendly data to management and players. Management and players bought-in to the system, and many wins ensued.
In May 2018, the computer-aided design (CAD) software maker Autodesk announced the alliance with General Motors (GM) to explore the use of generative design and additive manufacturing (AM) in developing future vehicles [1]. Dubbed Project Dreamcatcher, Autodesk’s generative design algorithm […]
Using machine learning to gauge small business owner's credit worthiness to provide unsecured loans. Real application limited by small sample size. Basic statistical analysis could be more useful than complicated predictive analysis for small data sets.
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.
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
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.