Machine Learning and the Profession of Medicine
1 Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California JAMA. 2016;315(6):551-552. doi:10.1001/jama.2015.18421. This Viewpoint discusses the opportunities and ethical implications of using machine learning technologies, which can rapidly collect and learn from large amounts of personal data, to provide individalized patient care. Must a physician be human?
WoahStork, the World's First Machine Learning Cannabis Marketplace - Press Release - Digital Journal
With their February 15th launch fast approaching, patients and early adopters in California, Colorado, Oregon, and Washington are beginning to wait anxiously in anticipation. Touting both State and Federal compliance, coupon functionality and free listings for dispensaries, WoahStork's service is set to fundamentally disrupt the emerging cannabis online ordering and delivery categories.
Deep Learning Makes Driverless Cars Better at Spotting Pedestrians
Today's car crash-avoidance systems and experimental driverless cars rely on radar and other sensors to detect pedestrians on the road. The next improvement may come from engineers at the University of California, San Diego (UCSD), who have developed a pedestrian detection system that can perform in close to real-time based on visual cues alone.
Microsoft and Novartis use Kinect to help doctors assess Multiple Sclerosis
It seems that Microsoft's Kinect is definitely getting interesting use cases outside of gaming lately. For example, we told you last week how the technology allowed orangutans in an Australian zoo to play video games. Today, Microsoft is showcasing another innovative way to useKinect, in a partnership with the global healthcare company Novartis.
What the Internet of Things and Big Data Mean for Car Safety: An Interview with Neil Cawse
Technology and data have transformed many industries--and obliterated others. (Been to a Blockbuster Video lately? Bought a BlackBerry in the last five years?) It's no overstatement to say that a great deal of change is on the horizon, even in traditional areas. I've said many times that all companies are tech companies.
New Neubauer Collegium projects to explore complex human questions
The Neubauer Collegium for Culture and Society has selected 12 new collaborative research projects that unite leading scholars from the University of Chicago and beyond to explore novel approaches to complex human questions.
Robotically driven system could reduce cost of discovering drug and target interactions
Researchers from Carnegie Mellon University (CMU) have created the first robotically driven experimentation system to determine the effects of a large number of drugs on many proteins, reducing the number of necessary experiments by 70%.
Artificial Intelligence and Machine Learning in Healthcare
Data mining, machine learning and artificial intelligence are becoming the most talk-about topics in digital health. With vast volumes of medical data available, exploiting these techniques to derive valuable insights may both challenge and reshape certain elements of our healthcare system.
Machine-learning robot could streamline drug development
Testing out new drugs is an extremely time-consuming process, and it can be difficult to get right. Now, a team of scientists has worked to streamline the task, creating a robotically driven experimentation system that's able to reduce the number of necessary tests by as much as 70 percent.
Why you should use Spark for machine learning
As organizations create more diverse and more user-focused data products and services, there is a growing need for machine learning, which can be used to develop personalizations, recommendations, and predictive insights. Traditionally, data scientists are able to solve these problems using familiar and popular tools such as R and Python.
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