CNN appears to be making it common practice not to report news that may portray presumptive Democratic nominee Joe Biden in a negative light. Biden raised eyebrows Wednesday morning during an interview with a virtual panel at the convention of the National Association of Black Journalists and National Association of Hispanic Journalists, which was posted in full on Thursday, where he was asked if he has taken a cognitive test. "No, I haven't taken a test. Why the hell would I take a test?" Biden reacted to the question from CBS reporter Errol Barnett, who is Black.

When it is globally appreciated that there is a shortage for trained cybersecurity professionals, Kenya only has about 1600 trained cybersecurity experts against a potential 51.1 M users of the net, as reported by the Communications Authority of Kenya. I speak to Ron Green, the Executive Vice President of MasterCard and the Chief Security Officer Globally, who while visiting Kenya is hard hit by the reality of the need for cybersecurity experts. He refers to this as a global phenomenal. His major concern is that anyone and everyone is prone to cyber attacks at any time in their lives, regardless of age and occupation just as long as they can access the internet. He is convinced that going forward, more efforts must be deliberately put into cybersecurity trainings to grow the number of experts in that space thus enhancing security online.

Cheng's proposed research provides a novel method for extracting information from the fluid flow that could enable robotic systems to work effectively in murky environments where current optical and acoustic sensors are not adequate," said MaryAnne Fields, program manager, ARO, an element of the U.S. Army Combat Capabilities Development Command's Army Research Laboratory. "This work will benefit not only the underwater applications that Dr. Cheng describes, but it may enable aerial robots to maneuver in complex, poorly lit environments by using pressure differences to sense and react to nearby entities."

From targeted phishing campaigns to new stalking methods: there are plenty of ways that artificial intelligence could be used to cause harm if it fell into the wrong hands. A team of researchers decided to rank the potential criminal applications that AI will have in the next 15 years, starting with those we should worry the most about. By using fake audio and video to impersonate another person, the technology can cause various types of harms, said the researchers. The threats range from discrediting public figures to influence public opinion, to extorting funds by impersonating someone's child or relatives over a video call. The ranking was put together after scientists from University College London (UCL) compiled a list of 20 AI-enabled crimes based on academic papers, news and popular culture, and got a few dozen experts to discuss the severity of each threat during a two-day seminar.

What this study really shows and what we should take away from it.

The UK visa algorithm will be overhauled by the end of October. The UK government said Tuesday that it'll stop grading visa applications with an algorithm critics have called racist. From Friday of this week, a temporary system will be put in place to grade applications while the algorithm undergoes a redesign before being reintroduced by the end of October. "We have been reviewing how the visa application streaming tool operates and will be redesigning our processes to make them even more streamlined and secure," said a Home Office spokeswoman in a statement. The decision to suspend the use of the "streaming tool," which has been used by the UK Home Office since 2015, comes in direct response to a legal threat by tech accountability organization Foxglove and the Joint Council for the Welfare of Immigrants (JCWI).

ALBUQUERQUE, N.M. -- A proposed project to help scientists use the laws of physics to view multiscale physical events with a clarity never before achieved has won an Early Career Research Program award from the Department of Energy for Sandia National Laboratories researcher Nathaniel Trask. Such work may require observations over a millionfold change in scale, with features ranging from the meter- to microscale. Sandia National Laboratories researcher Nat Trask, winner of the Department of Energy's Early Career award, is researching how to clearly present huge changes in scale. Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

Biden commonly incoherent and confused. Former Vice President Joe Biden acted inappropriately when a news anchor recently asked whether he should or has taken a cognitive abilities test, Sean Hannity said in his opening monologue Wednesday. "Let's state some facts," the "Hannity" host began. "Biden loses his trend of thought often. He mixes up numbers often. He struggles to remember certain words. At times, he doesn't even know what day of the week it is, what state he is in, and what office he is even running for. "He's experiencing frequent bouts of irritability, anger, confusion," Hannity went on. "I'm not a doctor, I don't know what's going on with Biden, but it's obvious that something is off, very off.

The claim: A standard housing development takes an average of five years to go through the planning system. Verdict: Developments of more than 1,000 dwellings may take that long, but those are very large. The vast majority of developments are much smaller and do not take that long. Robert Jenrick, secretary of state for housing, communities and local government, wrote an article in the Sunday Telegraph talking about how he wants to change the planning system in England. In the article, he wrote: "Under the current system, it takes an average of five years for a standard housing development to go through the planning system - before a spade is even in the ground."

Humans are remarkably flexible when understanding new sentences that include combinations of concepts they have never encountered before. Recent work has shown that while deep networks can mimic some human language abilities when presented with novel sentences, systematic variation uncovers the limitations in the language-understanding abilities of neural networks. We demonstrate that these limitations can be overcome by addressing the generalization challenges in a recently-released dataset, gSCAN, which explicitly measures how well a robotic agent is able to interpret novel ideas grounded in vision, e.g., novel pairings of adjectives and nouns. The key principle we employ is compositionality: that the compositional structure of networks should reflect the compositional structure of the problem domain they address, while allowing all other parameters and properties to be learned end-to-end with weak supervision. We build a general-purpose mechanism that enables robots to generalize their language understanding to compositional domains. Crucially, our base network has the same state-of-the-art performance as prior work, 97% execution accuracy, while at the same time generalizing its knowledge when prior work does not; for example, achieving 95% accuracy on novel adjective-noun compositions where previous work has 55% average accuracy. Robust language understanding without dramatic failures and without corner causes is critical to building safe and fair robots; we demonstrate the significant role that compositionality can play in achieving that goal.