Lifeboat Foundation

In cybersecurity, “threat data feeds” and “threat intelligence” are often used interchangeably. They are, however, quite different. To make matters worse, the term “threat intelligence” has been co-opted and watered down by vendors, making it even more difficult to define the difference between threat data feeds and threat intelligence.

An easy, and accessible, way to tell the difference is to think about weather forecasts. National TV news shows present a forecast for the entire country. You might get some useful information from this, but usually you just get an idea of what the weather is like nationwide. Local weather, however, drills down into the expected conditions for your specific area — not only temperature and weather, but also wind speed, barometric pressure, times for weather changes, and so on. You can use this information to plan out your actions for the next few days.

Using the weather forecast analogy, threat data feeds provide a high-level view of the security landscape. For example, it is useful to know that there is a vulnerability in a specific type of software, but it can be relatively trivial if that software is not in use at your organization. Likewise, knowing which threat groups are active is useful information, but how do you know if they are targeting your sector or organization and what processes and tools they are using?

I wondered when this would happen. Reminds me of the video game “The Last of Us” and there’s a TV series as well. I’m sure they’ll stop it though.

Silver leaf disease is a curse for a variety of botanicals, from pears to roses to rhododendron. Infecting their leaves and branches, the fungus Chondrostereum purpureum can be fatal for the plant if not quickly treated.

Aside from the risk of losing the occasional rose bush, the fungal disease has never been considered a problem for humans. Until this year.

Continue reading “Plant Fungus Infected a Human in First Reported Case of Its Kind” »

😗😁😘 Year 2022

Electricity can be streamed wirelessly across a room through thin air, researchers have found.

Scientists from Seoul, South Korea, have figured out how to transmit 400 milliwatts (mW) of electricity over nearly 100 feet using infrared laser light, according to research published in the journal Optics Express.

Continue reading “Laser Beam Sends Electricity Nearly 100 Feet Through the Air” »

The properties of nanoribbon edges are important for their applications in electronic devices, sensors, and catalysts. A group of scientists from Japan and China studied the mechanical response of single-layer molybdenum disulfide nanoribbons with armchair edges using in situ transmission electron microscopy.

They showed that the nanoribbon Young’s modulus varied inversely with its width below the width of 3nm, indicating a higher bond stiffness for the armchair edges. Their work, published in the journal Advanced Science, was co-authored by Associate Professor Kenta Hongo and Professor Ryo Maezono from JAIST and Lecturer Chunmeng Liu and Lecturer Jiaqi Zhang from Zhengzhou University, China.

Sensors have become ubiquitous in the modern world, with applications ranging from detecting explosives, measuring physiological spikes of glucose or cortisol non-invasively to estimating greenhouse gas levels in the atmosphere.

New method from UChicago chemists could lead to cost-effective sensors.

“Our camera uses a completely new method to achieve high-speed imaging. It has an imaging speed and spatial resolution similar to commercial high-speed cameras but uses off-the-shelf components.”

Scientists from the Institut National De La Recherche Scientifique (INRS) in Canada, in collaboration with Concordia University and Meta Platforms Inc., unveiled a game-changing camera that could revolutionize high-speed imaging.

The diffraction-gated real-time ultrahigh-speed mapping (DRUM) camera, introduced in a recent paper published in Optica, is poised to democratize ultrafast imaging, making it accessible for a wide range of applications.

When it comes to preserving profit margins, data scientists for vehicle and parts manufacturers are sitting in the driver’s seat.

Viaduct, which develops models for time-series inference, is helping enterprises harvest failure insights from the data captured on today’s connected cars. It does so by tapping into sensor data and making correlations.

The four-year-old startup, based in Menlo Park, Calif., offers a platform to detect anomalous patterns, track issues, and deploy failure predictions. This enables automakers and parts suppliers to get in front of problems with real-time data to reduce warranty claims, recalls and defects, said David Hallac, the founder and CEO of Viaduct.

Researchers at Karolinska Institute have developed a novel method using DNA nanoballs to detect pathogens, aiming to simplify nucleic acid testing and revolutionize pathogen detection. The study’s results, published in Science Advances, could pave the way for a straightforward electronic-based test capable of identifying various nucleic acids in diverse scenarios quickly and cheaply.

Principal investigator Vicent Pelechano, an associate professor at Karolinska Institute’s Department of Microbiology, Tumor and Cell Biology, is cautiously optimistic about the technology’s potential to detect an array of pathogenic agents in real world settings.

“The methodology involves combining Molecular Biology (DNA nanoball generation) and electronics (electric impedance-based quantification) to yield a pioneering detection tool,” says Vicent Pelechano.

Researchers from the California-based startup REMspace successfully transferred melodies from lucid dreams to reality using electronic sensors and specialized software. The study, which recorded melodies dreamt during lucid dreams via electromyography (EMG), opens possibilities for musicians to capture and share unique compositions directly from their dreams…