• Speech Recognition Techniques Help Predict Volcanoes’ Behavior

    Researchers are aiming to automatically analyze volcanic activities to develop early-warning models that could save the lives of people living near volcanoes. Machine learning has been used for  pattern identification in speech recognition, and researchers say the same technique can be used to understand patterns of volcanic “behavior.”

  • All’s Clear for Deep Fakes: Think Again

    A few analysts are claiming that the bark of deepfakes is worse than their bite. Robert Chesney, Danielle Citron, and Hany Farid disagree, writing that “Now is not the time to sit back and claim victory over deep fakes or to suggest that concern about them is overblown. The coronavirus has underscored the deadly impact of believable falsehoods, and the election of a lifetime looms ahead. More than ever we need to trust what our eyes and ears are telling us.”

  • Web App Helps Truck Drivers Move Critical Supplies

    As the COVID-19 pandemic has evolved, a patchwork of well-intentioned, state-level restrictions has emerged. They have impeded interstate commerce and the rapid delivery of critical food, medical and sanitation supplies. As truckers work to move products throughout the country, they are often confronted with closed rest areas, local curfews, and in some cases, 14-day quarantines. INL researchers developed a web application to visually display route restrictions, alternative routes and other pertinent information pulled from publicly available sources, including state websites and databases.

  • Second Skin Protects against Chem, Bio Agents

    Recent events such as the COVID-19 pandemic and the use of chemical weapons in the Syria conflict have provided a stark reminder of the plethora of chemical and biological threats that soldiers, medical personnel and first responders face during routine and emergency operations. Researchers have developed a smart, breathable fabric designed to protect the wearer against biological and chemical warfare agents. Material of this type could be used in clinical and medical settings as well.

  • Wobbly” Tracing App “Failed” Clinical Safety and Cybersecurity Tests

    The government’s coronavirus contact tracing app has so far failed the tests needed to be included in the NHS app library, HSJ understands. Jasmine Rapson writes in HJS that the app is being trialed on the Isle of Wight this week, ahead of a national rollout later this month. Senior NHS sources told HSJ it had thus far failed all of the tests required for inclusion in the app library, including cyber security, performance and clinical safety. There are also concerns at high levels about how users’ privacy will be protected once they log that they have coronavirus symptoms, and become “traceable,” and how this information will be used. Senior figures told HSJ that it had been hard to assess the app because the government was “going about it in a kind of a ham-fisted way. They haven’t got clear versions, so it’s been impossible to get fixed code base from them for NHS Digital to test. They keep changing it all over the place.” HSJ’s source described the app as “a bit wobbly.”

  • A Face-Recognition Tech that Works Even for Masked Faces

    In these corona days, face-recognition technologies — used for a variety of security purposes — are severely challenged by the fact that everyone’s wearing protective masks. The Israeli company Corsight says it has solved that problem with autonomous artificial intelligence.

  • Researchers Release COVID-19 Symptom Tracker App

    A consortium of scientists with expertise in big data research and epidemiology recently developed a COVID Symptom Tracker app aimed at rapidly collecting information to aid in the response to the ongoing COVID-19 pandemic. As reported in the journal Science, early use of the app by more than 2.5 million people in the U.S. and the U.K has generated valuable data about COVID-19 for physicians, scientists and public officials to better fight the viral outbreak.

  • Monitoring COVID-19 from Hospital to Home: First Wearable Device Continuously Tracks Key Symptoms

    The more we learn about the novel coronavirus (COVID-19), the more unknowns seem to arise. These ever-emerging mysteries highlight the desperate need for more data to help researchers and physicians better understand — and treat — the extremely contagious and deadly disease. Northwestern University says that Researchers at Northwestern and Shirley Ryan AbilityLab in Chicago have developed a novel wearable device and are creating a set of data algorithms specifically tailored to catch early signs and symptoms associated with COVID-19 and to monitor patients as the illness progresses. 

  • U.S. Navy Releases "Unexplained Aerial Phenomena" Videos

    The U.S. Department of Defense earlier this week released three declassified videos of “unexplained aerial phenomena” (the official name for “unidentified flying objects,” or UFOs). The three videos released Monday had already been leaked to the press in 2007 and 2017. Believers in the existence of extraterrestrial life cheered the Pentagon’s release of the videos, but experts caution that earthly explanations usually exist for such sightings — and that when people do not know why something happened, it does not mean it happened because of aliens.

  • Predicting and Countering Cyberttacks

    The U.K Defense and Security Accelerator (DASA) announce nearly £1m to further develop technology that predicts and counters cyber-attacks. “This work will develop, adapt and merge the novel approaches explored in Phase 1 of the competition, to proactively defend deployed U.K. military systems and networks from the rapidly growing threat of offensive cyber action from aggressive adversaries,” DASA said.

  • Catching Nuclear Smugglers: Fast Algorithm Enable Cost-Effective Detectors at Borders

    Nations need to protect their citizens from the threat of nuclear terrorism. Nuclear security deters and detects the smuggling of special nuclear materials—highly enriched uranium, weapons-grade plutonium or materials that produce a lot of radiation—across national borders. A new algorithm could enable faster, less expensive detection of weapons-grade nuclear materials at borders, quickly differentiating between benign and illicit radiation signatures in the same cargo.

  • New Privacy Threat Combines Device Identification with Biometric Information

    A new study by computer scientists has revealed a new privacy threat from devices such as smartphones, smart doorbells and voice assistants that allows cyber attackers to access and combine device identification and biometric information.

  • Coronavirus: Digital Contact Tracing Doesn’t Have to Sacrifice Privacy

    To make it safer to reduce the lockdown measures, proposals are being considered to use data from people’s smartphones to track their movements and contacts with potentially infected patients. Other systems involve monitoring the data trails of all citizens to generate useful information that helps to prevent the spread of the disease. All these approaches involve allowing the government, and in some cases private companies, to build a database of where we go, the people we associate with and when. Such intrusive tracking is more typically associated with totalitarian regimes and easily can be misused. Despite the good intentions, then, these measures raise serious concerns that collecting and sharing such data might pose a threat to citizens’ right to privacy.

  • Examining Australia’s COVIDSafe Tracing App

    The Australian government releases an App called COVIDSafe to help in tracing contacts of those infected with the coronavirus. As is the case with similar apps in other countries, COVIDSafe has raised privacy concerns, especially about the potential of abuse by government agencies and hacking by cybercriminals. The University of Sydney academics from the disciplines of cybersecurity, media, law and health comment on COVIDSafe, its pros and cons.

  • Solving “Link Discovery” Problem for Terahertz Data Networks

    When someone opens a laptop, a router can quickly locate it and connect it to the local Wi-Fi network. That ability is a basic element of any wireless network known as link discovery, and now a team of researchers has developed a means of doing it with terahertz radiation, the high-frequency waves that could one day make for ultra-fast wireless data transmission.