• Develop 3D Printable Robots for Search-and-Rescue Operations

    Researchers are developing a small and flexible 3D-printed robots with integrated fluidic circuits that can be rapidly fabricated for specific disasters. These robots can aid rescue efforts by exploring areas that pose potential hazards to humans or are otherwise inaccessible, including earthquake debris, flooded regions, and even nuclear accident sites.

  • Multi-Billion-Dollar Risk to Economic Activity from Climate Extremes Affecting Ports

    More than $122 billion of economic activity - $81 billion in international trade - is at risk from the impact of extreme climate events, according to new research. Systemic impacts – those risks faced due to knock-on effects within global shipping, trade and supply chains network - will hit ports and economies around the world, even if the local ports are not directly affected by extreme events.

  • Record-Warm Sea Surface Temperatures to Cause “Above Normal” Atlantic Hurricane Season

    Scientists at NOAA’s Climate Prediction Center have increased their prediction for the ongoing 2023 Atlantic hurricane season from a near-normal level of activity to an above-normal level of activity. The reason: current ocean and atmospheric conditions, such as record-warm Atlantic sea surface temperatures, are likely to counterbalance the usually limiting atmospheric conditions associated with the ongoing El Nino event.

  • New Message Encryption Scheme Inspired by the Sudoku Puzzle

    Researchers discuss a novel advance in data security in which the Japanese puzzle known as Sudoku promises a cryptographic system for text information that works even in situations where computational power is limited.

  • Freezing Out the Risk of Thermal Attacks

    Thermal attacks use heat-sensitive cameras to read the traces of fingerprints left on surfaces like smartphone screens, computer keyboards and PIN pads. Hackers can use the relative intensity of heat traces across recently touched surfaces to reconstruct users’ passwords. A team of computer security experts have developed a set of recommendations to help defend against ‘thermal attacks’ which can steal personal information.

  • Better Resources to Mitigate Explosive Threats

    Every second counts when responders encounter an explosive device, and critical decisions must be made quickly in order to neutralize the threat while also ensuring the security of civilians, property, and the responders themselves.

  • FEMA Maps Said They Weren’t in a Flood Zone. Then Came the Rain.

    The most common reference for flood risk are the flood insurance rate maps, also known as 100-year floodplain maps, that the Federal Emergency Management Agency, or FEMA, produces. They designate so-called special flood hazard areas that have a roughly 1 percent chance of inundation in any given year. Properties within those zones are subject to more stringent building codes and regulations that, among other things, require anyone with a government-backed mortgage to carry flood insurance. Flaws in federal flood maps leave millions unprepared. Some are trying to fix that.

  • The New Technology Which Is Making Cars Easier for Criminals to Steal, or Crash

    There is much talk in the automotive industry about the “internet of vehicles” (IoV). This describes a network of cars and other vehicles that could exchange data over the internet in an effort to make transportation more autonomous, safe and efficient. There are many benefits to IoV, but some of these systems might also make our vehicles prone to theft and malicious attack, as criminals identify and then exploit vulnerabilities in this new technology. In fact, this is already happening.

  • The Impending Privacy Threat of Self-Driving Cars

    With innovations often come unintended consequences—one of which is the massive collection of data required for an autonomous vehicle to function. The sheer amount of visual and other information collected by a fleet of cars traveling down public streets conjures the threat of the possibility for peoples’ movements to be tracked, aggregated, and retained by companies, law enforcement, or bad actors—including vendor employees.

  • Safeguarding U.S. Laws and Legal Information Against Cyberattacks and Malicious Actors

    NYU Tandon School of Engineering researchers will develop new technologies to secure the “digital legal supply chain” — the processes by which official laws and legal information are recorded, stored, updated and distributed electronically.

  • Randomized Data Can Improve Our Security

    Huge streams of data pass through our computers and smartphones every day. In simple terms, technical devices contain two essential units to process this data: A processor, which is a kind of control center, and a RAM, comparable to memory. Modern processors use a cache to act as a bridge between the two, since memory is much slower at providing data than the processor is at processing it. This cache often contains private data that could be an attractive target for attackers.

  • Major Update to NIST’s Widely Used Cybersecurity Framework

    The world’s leading cybersecurity guidance is getting its first complete makeover since its release nearly a decade ago. NIST has revised the framework to help benefit all sectors, not just critical infrastructure.

  • Bipartisan Texan Push in Congress to Boost Semiconductors, a Crucial Industry in the State

    Republicans like Sen. Ted Cruz and Democrats like Rep. Colin Allred — opponents in the 2024 election — propose streamlining environmental reviews to promote investment and expansion by chipmakers.

  • Beaver-Like Dams Can Enhance Existing Flood Management Strategies for At-risk Communities

    River barriers made up of natural materials like trees, branches, logs and leaves can reduce flooding in at-risk communities. Leaky barriers are effective in slowing down the flow of the river during periods of rainfall and storing up vast quantities of water which would otherwise rush through causing damage to communities downstream.

  • Humans Unable to Detect Over a Quarter of Deepfake Speech Samples

    New research has found that humans were only able to detect artificially generated speech 73% of the time, with the same accuracy in both English and Mandarin.