Education
Robot passes college class on the philosophy of love
The line between man and machine looks set to become increasingly blurred if one robot's quest to understand love is anything to go by. Bina48 is reportedly the first android to pass a college level course and her chosen subject was the philosophy of love. She participated in class discussions via Skype, before attending a final session in person. The line between man and machine looks set to become increasingly blurred if one robot's quest to understand love is anything to go by. Bina48 is the creation of American robotics expert David Hanson, who believes that artificial lifeforms can foster better connections with people if they take on a human form.
URI to launch Artificial Intelligence lab
KINGSTON, R.I., Dec. 20, 2017--Students across the University of Rhode Island will soon have access to a new laboratory where they can explore research involving robotics, wearable technology, smart cities and public policy. The Artificial Intelligence Lab, or AI Lab, is scheduled to open in fall 2018 at the Robert L. Carothers Library and Learning Commons on the Kingston campus. The lab is the first of its kind in a college library nationwide, says the lab's team. The lab will support two complementary goals. On the one hand, it will enable students to explore projects on robotics, natural language processing, smart cities, smart homes, the Internet of Things and big data, with tutorials at beginner through advanced levels.
Bringing artificial intelligence to the factory floor
Andrew Ng thinks a lot about getting machines ... to think for us. He was the founder of the artificial intelligence research project Google Brain. And his latest company is called Landing.AI. The startup has partnered with the electronics manufacturing giant Foxconn, as well as other companies in Japan, Taiwan, and mainland China to bring more AI into the manufacturing space. Ng says that AI has the potential to revitalize the factory floor.
Why Applied Machine Learning Is Hard - Machine Learning Mastery
Applied machine learning is challenging. You must make many decisions where there is no known "right answer" for your specific problem, such as: This is challenging for beginners that expect that you can calculate or be told what data to use or how to best configure an algorithm. In this post, you will discover the intractable nature of designing learning systems and how to deal with it. This post is divided into 6 sections inspired by chapter 1 of Tom Mitchell's excellent 1997 book Machine Learning; they are: We can define a general learning task in the field of applied machine learning as a program that learns from experience on some task against a specific performance measure. A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E. We take this as a general definition for the types of learning tasks that we may be interested in for applied machine learning such as predictive modeling.
Over 5,000 Indian developers in 6 cities acquire deep learning skills, Prepare for AI era at NVIDIA Developer Connect 2017
December 21, 2017: Business Wire India NVIDIA brought together the best minds in research, academia and industry across Hyderabad, Chennai, Mumbai, Pune, Delhi and Bangalore 42 speaker sessions from leading experts in fields such as computer vision, sensor fusion, software development, regulation and HD mapping provide expertise NVIDIA today completed its first edition of Developer Connect 2017 in Bangalore. The six-city developer roadshow witnessed over 5,000 attendees who experienced some of the highest quality workshops and demonstrations of AI and deep learning tools, designed to meet the challenges big data presents. Attendees got a closer look at NVIDIA's DGX systems, as well as the opportunity to learn more about its new Volta architecture. Both the DGX-1 and DGX Station were on display to demonstrate the full power of these AI supercomputers. The concluding segment witnessed prominent speakers from organizations such as Ola, Cognitive Computing, Microsoft, Hewlett Packard Enterprise Labs, Shell India, Sony India and Aditya Imaging Information Technologies provide their views.
Scanning the face of every American traveling overseas would be invasive, costly and potentially illegal, a new report finds
A Department of Homeland Security program that would collect facial scans of every American citizen traveling overseas may skirt the law, come at enormous cost, exhibit technical flaws and invade the privacy of innocent people, a new report finds. Published Thursday by three researchers at the Center on Privacy and Technology at Georgetown University's law school, the report examined a DHS pilot program currently underway at nine U.S. airports with overseas flights. In an effort to prevent visitors from overstaying their visas or using fraudulent travel documents, border agents scan the faces of travelers before they depart, and compare the biometric scan against a DHS database. Visitors and U.S. citizens alike who are traveling on certain international flights originating from cities including Washington, D.C., Atlanta, New York, and Chicago will have their faces captured. According to the study, DHS plans to extend the face scanning program to every airport in the United States that sends passengers abroad.