Toggle light / dark theme

Threat actors associated with the Roaming Mantis attack campaign have been observed delivering an updated variant of their patent mobile malware known as Wroba to infiltrate Wi-Fi routers and undertake Domain Name System (DNS) hijacking.

Kaspersky, which carried out an analysis of the malicious artifact, said the feature is designed to target specific Wi-Fi routers located in South Korea.

Roaming Mantis, also known as Shaoye, is a long-running financially motivated operation that singles out Android smartphone users with malware capable of stealing bank account credentials as well as harvesting other kinds of sensitive information.

Earlier this month, we reported how a program trained with the help of artificial intelligence (AI) was set to help a defendant contest his case in a U.S. court next month. Instead of addressing the court, the program, which will run on a smartphone, would supply appropriate responses through an earpiece to the defendant, who can then use them in the courtroom.

Mobile phone batteries with a lifetime up to three times longer than today’s technology could be a reality thanks to an innovation led by engineers at RMIT University.

Rather than disposing of batteries after two or three years, we could have recyclable batteries that last for up to nine years, the team says, by using high-frequency to remove rust that inhibits battery performance.

The research is published in Nature Communications.

How soon will that day arrive is the real question.

Meta’s chief product officer, Chris Cox, has said that the company believes that the metaverse will become as essential as today’s smartphone, Business Insider.

Meta is the new avatar of Mark Zuckerberg founded Facebook that is looking to build the next generation of the internet. In October 2021, Zuckerberg announced, with much fanfare, the company’s vision to build a new digital world where people will log in for work, communication, and entertainment.

It seems Google is feeling the heat from OpenAI’s ChatGPT. The artificial intelligence-powered chatbot has taken the tech world by storm over the last couple months, as it can provide users with information they’re looking for in an easy-to-understand format. Google sees ChatGPT as a threat to its search business and has shifted plans accordingly over the last several weeks, according to The New York Times.

The report claims CEO Sundar Pichai has declared a “code red” and accelerated AI development. Google is reportedly preparing to show off at least 20 AI-powered products and a chatbot for its search engine this year, with at least some set to debut at its I/O conference in May.

According to a slide deck viewed by the Times, among the AI projects Google is working on are an image generation tool, an upgraded version of AI Test Kitchen (an app used to test prototypes), a TikTok-style green screen mode for YouTube and a tool that can generate videos to summarize other clips. Also in the pipeline are a feature titled Shopping Try-on (perhaps akin to one Amazon has been developing), a wallpaper creator for Pixel phones and AI-driven tools that could make it easier for developers to create Android apps.

Frore Systems Airjet Mini and Airjet Pro are active cooling chips that are just 2.8mm thick and quietly suck cool air in from the top of the chip before pushing it out the sides with the aim to replace traditional fan-based solutions in ultrabooks, or be integrated into VR headsets and smartphones for improved cooling.

Yesterday we saw that cameras could clean themselves with micro-vibrations, and it happens that processors can be cooled with vibrations too as the Airjet chips are comprised of tiny membranes that vibrate at ultrasonic frequencies to generate a flow of air that enters through inlet vents in the top and transformed into high-velocity pulsating jets exiting from one side of the chip.

The method detects all the objects in the room and cancels out the static objects.

Researchers have been working on ways to “see” people without using cameras or expensive LiDAR hardware for years. In 2013, a team of researchers at MIT found a way to use cell phone signals to see through walls. In 2018, another MIT team used WiFi to detect people in another room and translate their movements into walking stick figures. Now, researchers at Carnegie Mellon University and the University of Waterloo are advancing our ability to see through walls using WiFi.


Sauliakas/iStock.

The technology works by sending a low-powered WiFi signal through a wall, which reverberates around the room. It detects all the objects in the room, cancels out the static objects, and when the signal bounces back, uses the reflection of moving objects to generate a radar-like image. It can work through standard drywall, wooden fences, and even concrete walls, though the range and accuracy depend on the type of wall.

For millions of years, nature has basically been getting by with just a few elements from the periodic table. Carbon, calcium, oxygen, hydrogen, nitrogen, phosphorus, silicon, sulfur, magnesium and potassium are the building blocks of almost all life on our planet (tree trunks, leaves, hairs, teeth, etc). However, to build the world of humans—including cities, health care products, railways, airplanes and their engines, computers, smartphones, and more—many more chemical elements are needed.

A recent article, published in Trends in Ecology and Evolution and written by researchers from CREAF, the Universitat Autònoma de Barcelona (UAB) and the Spanish National Research Council (CSIC), warns that the range of chemical elements humans need (something scientifically known as the human elementome) is increasingly diverging from that which nature requires (the biological elementome).

In 1900, approximately 80% of the elements humans used came from biomass (wood, plants, food, etc.). That figure had fallen to 32% by 2005, and is expected to stand at approximately 22% in 2050. We are heading for a situation in which 80% of the elements we use are from non-biological sources.

Since its launch in November last year, ChatGPT has become an extraordinary hit. Essentially a souped-up chatbot, the AI program can churn out answers to the biggest and smallest questions in life, and draw up college essays, fictional stories, haikus, and even job application letters. It does this by drawing on what it has gleaned from a staggering amount of text on the internet, with careful guidance from human experts. Ask ChatGPT a question, as millions have in recent weeks, and it will do its best to respond – unless it knows it cannot. The answers are confident and fluently written, even if they are sometimes spectacularly wrong.

The program is the latest to emerge from OpenAI, a research laboratory in California, and is based on an earlier AI from the outfit, called GPT-3. Known in the field as a large language model or LLM, the AI is fed hundreds of billions of words in the form of books, conversations and web articles, from which it builds a model, based on statistical probability, of the words and sentences that tend to follow whatever text came before. It is a bit like predictive text on a mobile phone, but scaled up massively, allowing it to produce entire responses instead of single words.