The US Defense Advanced Research Projects Agency (DARPA) recently announced its Competency-Aware Machine Learning (CAML) program, which aims to “develop machine learning systems that continuously assess their own performance in time-critical, dynamic situations and communicate that information to human team-members in an easily understood format.” The idea behind this is
Artificial intelligence (AI) research is rapidly bringing us closer to a new technological revolution. However, Computer Science professor Ben Shneiderman of the University of Maryland believes that in order to get the best out of this technology, researchers and engineers should be careful not to repeat the mistakes of legitimate scientists who got sidetracked
OpenAI, an artificial intelligence research group co-founded by Elon Musk, has created AI software that is not only capable of writing coherent articles and texts, but can actually mimic the writing style of specific individuals, including professional journalists if it is fed articles written by them. While the OpenAI team has
According to Gopi Prashanth of AI-startup Landing AI, one of the major challenges in the development of AI and machine learning is to teach machines to generalize based on small data samples in situations where relevant data is sparse. Currently, deep learning enables machines to learn from massive amounts of
Through a “Guaranteeing AI Robustness against Deception” program, the Pentagon’s Defense Advanced Research Projects Agency is working to guard against malicious manipulation of A.I. systems. In its project solicitation, DARPA writes that “the growing sophistication and ubiquity of ML [Machine Learning] components in advanced systems dramatically…increases opportunities for new, potentially
American tech giants Google and Amazon, along with the Indian Infosys, are increasingly “open-sourcing” their artificial intelligence projects. This approach, in contrast to the more competitive and secretive approach being pursued by many companies China, may help to reduce some risks of A.I. and improve development of the entire field.
Can AI Explain Its Choices? Google Brain Scientists Developing a Translator for Artificial Intelligence
Machine learning technology has allowed deep-learning networks to teach themselves how to perform highly complicated tasks like driving, spotting insurance fraud, and making complex health diagnoses. This tremendous complexity, however, prevents people from understanding how much, if not all, of the decision processes work. A researcher with Google Brain is
A World Economic Forum report projects that machines will perform over half of all “work tasks” by 2025. Currently standing at 29% of work tasks today, the estimated change will displace 75 million jobs by 2022, while an estimated 133 million new jobs will be created over the same period.
“The cybersecurity industry is currently enamored with concepts of autonomous defense, including elements of machine learning, behavioral analytics, and artificial intelligence—and rightly so. Programed to be able to study all vulnerabilities in the public domain, autonomous bots (autbots)—not to be confused with bots simply conducting repetitive tasks like guessing default