• Calls for New Federal Authority to Regulate Facial Recognition Tech

    A group of artificial intelligence experts — citing profiling, breach of privacy and surveillance as potential societal risks — recently proposed a new model for managing facial recognition technologies at the federal level. The experts propose an FDA-inspired model that categorizes these technologies by degrees of risk and would institute corresponding controls.

  • The Importance of Building Trust in Contact Tracing Apps

    In the very real need for speed around excellent contact tracing in the COVID-19 environment, the voice of the people is getting lost, according to an expert. New researchhighlights the need for digital contact tracing solutions to have exceptional speed, high take-up rates, and demonstrable value. Researchers say that without significant uptake of the technology, digital contact tracing is close to useless.

  • Slime Scene: Unusual Forensic Investigation Technique Put to the Test

    Could household slime become a tool to help solve crimes? This is the question researchers sought to answer in a recent study that tested a popular children’s “slime” recipe as a technique to enhance the appearance of hard-to-see fingerprints in forensic investigations.

  • Search-and-Rescue Algorithm Identifies Hidden “Traps” in Ocean Waters

    When an object or person goes missing at sea, the complex, constantly changing conditions of the ocean can confound and delay critical search-and-rescue operations. Now researchers have developed a technique they hope will help first responders quickly zero in on regions of the sea where missing objects or people are likely to be.

  • Universal Virus Detection Platform to Expedite Viral Diagnosis

    The prompt, precise, and massive detection of a virus is the key to combat infectious diseases such as Covid-19. A new viral diagnostic strategy using reactive polymer-grafted, double-stranded RNAs will serve as a pre-screening tester for a wide range of viruses with enhanced sensitivity. KAIST says that currently, the most widely using viral detection methodology is polymerase chain reaction (PCR) diagnosis, which amplifies and detects a piece of the viral genome. Prior knowledge of the relevant primer nucleic acids of the virus is quintessential for this test.  The detection platform developed by KAIST researchers identifies viral activities without amplifying specific nucleic acid targets.

  • IoT: Which Devices Are Spying on You?

    When hungry consumers want to know how many calories are in a bag of chips, they can check the nutrition label on the bag. When those same consumers want to check the security and privacy practices of a new IoT device, they aren’t able to find even the most basic facts. Not yet, at least.

  • Tightening Up Facial Biometrics

    Facial biometrics for security applications is an important modern technology. Unfortunately, there is the possibility of “spoofing” a person’s face to the sensor or detection system through the use of a photograph or even video presented to the security system. Researchers have now developed a way to thwart spoofing.

  • Drones, Machine Learning to Detect Dangerous “Butterfly” Landmines

    It is estimated that there are at least 100 million military munitions and explosives of concern devices in the world, of various size, shape and composition. Millions of these are surface plastic landmines with low-pressure triggers, such as the mass-produced Soviet PFM-1 “butterfly” landmine. Nicknamed for their small size and butterfly-like shape, these mines are extremely difficult to locate and clear. Using advanced machine learning, drones could be used to detect these dangerous “butterfly” landmines in remote regions of post-conflict countries.

  • Taking a Cue from Nature to Create Bulletproof Coatings

    Shrimp, lobsters and mushrooms may not seem like great tools for the battlefield, but three engineers from the University of Houston are using chitin – a derivative of glucose found in the cellular walls of arthropods and fungi – and 3D printing techniques to produce high-impact multilayered coatings that can protect soldiers against bullets, lasers, toxic gas and other dangers.

  • Wildfires New Algorithm Predicts the Difficulty in Fighting Fire

    When facing an uncontrolled fire blazing through hundreds of hectares, many questions arise that need urgent answers: Where should we start? What place presents less difficulty? What areas are already lost? How can we prioritize management tasks? Researchers have developed an algorithm which is able to respond to these questions and has turned mathematics into a real ally for firefighting.

  • High-Security Identification that Cannot Be Counterfeited

    High-security identification should be exceptionally resistant to counterfeiting. Unfortunately, identity thieves eventually learn how to duplicate even highly complex patterns. The only way to permanently defeat identity thieves is to create a pattern that is impossible to duplicate.

  • Oilfield Water Can Safely Be Reused for Irrigation in California

    Reusing low-saline oilfield water mixed with surface water to irrigate farms in the Cawelo Water District of California does not pose major health risks, as some opponents of the practice have feared, a new study finds.

  • New Technology Can Detect Antivirus Antibody in 20 Minutes

    Researchers have succeeded in detecting anti-avian influenza virus antibody in blood serum within 20 minutes, using a portable analyzer they have developed to conduct rapid on-site bio tests. Hokkaido University says that if a suitable reagent is developed, this technology could be used to detect antibodies against SARS-CoV-2, the causative virus of COVID-19.

  • Rwanda Has Enlisted Anti-Epidemic Robots in Its Fight against Coronavirus

    Rwanda has introduced robots as part of its fight against coronavirus. With 314 confirmed cases of the virus as of May 22, the East African country has enlisted the help of five anti-epidemic robots to battle the virus. Aisha Salaudeen writes for CNN that the robots were donated by the United Nations Development Program (UNDP) to the Kanyinya treatment center that treats Covid-19 patients in the capital city, Kigali. The robots — named Akazuba, Ikirezi, Mwiza, Ngabo, and Urumuri — were received by the country’s Minister of Health and Minister of ICT and Innovation last week. hey will be used for mass temperature screening, monitoring patient status, and keeping medical records of Covid-19 patients, according to Rwanda’s Ministry of ICT and Innovation.

  • Separating Industrial Noise from Natural Seismic Signals

    For the first time, seismologists can characterize signals as a result of some industrial human activity on a continent-wide scale using cloud computing. A transformative, cloud-computing approach to analyzing data helps researchers better understand seismic activity.