Can Machine Learning Help Save the Oil & Gas Industry?
Companies like DrillingInfo are helping develop new machine-learning applications for the oil and gas industry
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.
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.
3M and Google’s Verily team up to beat healthcare costs with machine learning
How should the new leader in online English education power human learning with machine learning?
Artificial Intelligence will disrupt the workforce by automating jobs and shifting the skills that individuals need to deliver value in the economy — creating a massive global skills gap. LinkedIn is in a position to address this challenge leveraging some of the same AI technologies that created it.
CS:GO is one of the most popular and competitive video games worldwide. In the past few years, reports of players using "hacks" in the game were increasing, negatively impacting customer satisfaction of CS:GO's user base. To counter this rampant cheating, Valve turned to machine learning and deep learning.