• Scent Dogs Can Detect COVID-19 More Rapidly, Accurately Than Current Tests

    Scent dogs may represent a cheaper, faster and more effective way to detect COVID-19, and could be a key tool in future pandemics, a new review of recent research suggests. The review found that scent dogs are as effective, or even more effective, than conventional COVID-19 tests such as RT-PCR.

  • Can You Trust AI? Here’s Why You Shouldn’t

    Across the internet, devices and services that seem to work for you already secretly work against you. Smart TVs spy on you. Phone apps collect and sell your data. Many apps and websites manipulate you through dark patterns, design elements that deliberately mislead, coerce or deceive website visitors. This is surveillance capitalism, and AI is shaping up to be part of it.

  • Events That Never Happened Could Influence the 2024 Presidential Election – a Cybersecurity Researcher Explains Situation Deepfakes

    The basic idea and technology of a situation deepfake are the same as with any other deepfake, but with a bolder ambition: to manipulate a real event or invent one from thin air. Situation deepfakes have already been used in recent weeks – the first in a Republican National Committee’s ad against President Joe Biden, the second in an anti-Trump ad by Ron DeSantis’s campaign.

  • Bolstering Cyber Safety on Roads and Highways

    A new research center is helping prevent potential cyberattacks that could threaten to impede the safe and efficient movement of people and goods in the United States and throughout the world.

  • Satellite Security Lags Decades Behind the State of the Art

    Thousands of satellites are currently orbiting the Earth, and there will be many more in the future. Researchers analyzed three current low-earth orbit satellites and found that, from a technical point of view, hardly any modern security concepts were implemented. Various security mechanisms that are standard in modern mobile phones and laptops were not to be found.

  • Addressing the Existential Threats from Artificial Intelligence

    While the recent advancements in commercial AI can be disorienting and the claims of existential risks made by different groups of AI researchers can be terrifying, policymakers could respond with steps toward ensuring that AI is safely deployed.

  • How an “AI-tocracy” Emerges

    Many scholars, analysts, and other observers have suggested that resistance to innovation is an Achilles’ heel of authoritarian regimes. But in China, the use of AI-driven facial recognition helps the regime repress dissent while enhancing the technology, researchers report.

  • Software System Finds, Tracks Moving Objects as Small as a Pixel

    A new patented software system developed at Sandia can find the curves of motion in streaming video and images from satellites, drones and far-range security cameras and turn them into signals to find and track moving objects as small as one pixel. The developers say this system can enhance the performance of any remote sensing application.

  • Radar Can Help Fight Wildfires, Identify Flash-Flood Risks

    Radar imaging technology can provide valuable insight into the location and extent of wildfires in remote Arctic and Subarctic forests, like those currently burning in Canada. Capable of penetrating clouds and smoke, and imaging day and night, Interferometric Synthetic Aperture Radar (InSAR) can play a critical role in wildfire monitoring.

  • Next-Generation Flow Battery Design Sets Records

    Sugar additive plays a surprising role, boosting flow battery capacity and longevity for this grid energy resilience design. Researchers report that the flow battery, a design optimized for electrical grid energy storage, maintained its capacity to store and release energy for more than a year of continuous charge and discharge.

  • Forensics Lab Cracks Case on Newer, “Greener” Gunshot Residue

    Discoveries by forensic scientists about how gunshot residue behaves on skin, hair and fabric will allow crime scene investigators to catch up to the proliferation of new, eco-friendly types of ammunition and make faster, more informed decisions at crime scenes and in forensic laboratories.

  • What Are the Odds of a Truly Catastrophic, Even Extinction-Causing, Disaster?

    The Forecastong Research Institute (FRI) brought together forecasters from two groups with distinctive claims to knowledge about humanity’s future — experts in various domains relevant to existential risk, and “superforecasters” with a track record of predictive accuracy over short time horizons. FRI asked tournament participants to predict the likelihood of global risks related to nuclear weapon use, biorisks, and AI, along with dozens of other related, shorter-run forecasts.

  • A Quantitative Analysis of the In-Orbit Collision Risk and Its Effects on the Earth

    Since the launch of the first satellite in 1957, the proliferation of space debris has continued unabated. The European Space Agency (ESA) estimates that over 131 million useless objects, ranging from 1 millimeter to 10 centimeters in size, currently orbit the Earth at an average speed of 36,000 kilometers per hour. “Any fragment larger than 1 centimeter poses a potentially lethal threat in the event of a collision,” says an expert.

  • Sooner Than You Might Think: Virtual Power Plants Are Coming to Save the Grid

    Networks of thousands of home-based batteries could be key to a cleaner, more reliable electricity system. After years of pilot projects, utilities and battery companies now have networks with thousands of participants in California, Utah, and Vermont, among others.

  • Researchers Devise a Way to Evaluate Cybersecurity Methods

    A savvy hacker can obtain secret information, such as a password, by observing a computer program’s behavior, like how much time that program spends accessing the computer’s memory. Security approaches that completely block these “side-channel attacks” are so computationally expensive, so engineers often apply what are known as obfuscation schemes. MIT researchers have developed a system which analyzes the likelihood that an attacker could thwart a certain security scheme to steal secret information.