UBER driver data helps track and potentially alleviate urban traffic congestion

A new machine learning algorithm is poised to help urban transportation analysts relieve bottlenecks and chokepoints that routinely snarl city traffic. The tool, called TranSEC, was developed at the U.S. Department of Energy’s Pacific Northwest National Laboratory to help urban traffic engineers get access to actionable information about traffic patterns in their cities. Currently, publicly Read more about UBER driver data helps track and potentially alleviate urban traffic congestion[…]

Robots learning new tasks from demonstrations

Imagine if robots could learn from watching demonstrations: you could show a domestic robot how to do routine chores or set a dinner table. In the workplace, you could train robots like new employees, showing them how to perform many duties. On the road, your self-driving car could learn how to drive safely by watching Read more about Robots learning new tasks from demonstrations[…]

A new device to more efficiently process information

The development of a new method to make non-volatile computer memory may have unlocked a problem that has been holding back machine learning and has the potential to revolutionize technologies like voice recognition, image processing and autonomous driving. A team from Sandia National Laboratories, working with collaborators from the University of Michigan, published a paper Read more about A new device to more efficiently process information[…]

Scientific peer review process can be harnessed by Artificial Intelligence and Machine Learning

As the COVID-19 pandemic has swept the world, researchers have published hundreds of papers each week reporting their findings – many of which have not undergone a thorough peer review process to gauge their reliability. In some cases, poorly validated research has massively influenced public policy, as when a French team reported COVID patients were Read more about Scientific peer review process can be harnessed by Artificial Intelligence and Machine Learning[…]

A new data storage method

The emergence of artificial intelligence and machine learning techniques is changing the world dramatically with novel applications such as internet of things, autonomous vehicles, real-time imaging processing and big data analytics in healthcare. In 2020, the global data volume is estimated to reach 44 Zettabytes, and it will continue to grow beyond the current capacity Read more about A new data storage method[…]

A new approach for more trust in Artificial Intelligence

One of the biggest impediments to adoption of new technologies is trust in AI. Now, a new tool developed by USC Viterbi Engineering researchers generates automatic indicators if data and predictions generated by AI algorithms are trustworthy.  Their research paper, “There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks” by Mingxi Cheng, Read more about A new approach for more trust in Artificial Intelligence[…]

Wide personality traits and attributes such as extraversion and IQ were predicted by Social Media information

Principle Investigator HARUNO Masahiko and Dr. MORI Kazuma at the Center for Information and Neural Networks (CiNet), the National Institute of Information and Communications Technology (NICT, President: TOKUDA Hideyuki, Ph.D.), report the use of machine learning to analyze behavior on Twitter and predict a wide range of personality traits and attributes such as intelligence and Read more about Wide personality traits and attributes such as extraversion and IQ were predicted by Social Media information[…]

Digital Health Online Summit

The healthcare industry will never be the same after COVID19. Healthcare professionals need to stay aware of the latest digital health activities and keep learning from leading organizations. Digital Health Online Summit is a 6-day virtual summit, providing a comprehensive overview of the current digital health activities, and equipping health professionals with strategies and tactics, Read more about Digital Health Online Summit[…]

How to recognize manufactured components with an app

AI methods have long been successfully used in image processing with great success. Neural networks recognize everyday objects with greater accuracy than humans. Research teams at the Fraunhofer Institute for Production Systems and Design Technology IPK employ these capabilities and adapt the algorithms for use in industrial applications. For instance, an app enables individual components Read more about How to recognize manufactured components with an app[…]

Digital Health Online Summit

The healthcare industry will never be the same after COVID19. Healthcare professionals need to stay aware of the latest digital health activities and keep learning from leading organizations. Digital Health Online Summit is a 6-day virtual summit, providing a comprehensive overview of the current digital health activities, and equipping health professionals with strategies and tactics, Read more about Digital Health Online Summit[…]

Teaching the computer to teach

Intelligent tutoring systems have been shown to be effective in helping to teach certain subjects, such as algebra or grammar, but creating these computerized systems is difficult and laborious. Now, researchers at Carnegie Mellon University have shown they can rapidly build them by, in effect, teaching the computer to teach. Using a new method that Read more about Teaching the computer to teach[…]