Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog – Page 2976

Imagine returning home from your evening walk or gym to the aroma of freshly cooked kadhai paneer or chicken curry, which instantly reminds you of home. Now, what if you were to know that it was no human that lovingly prepared this piping hot and delicious meal, but rather, a machine?

From booking cabs to ordering food right at your doorstep, technology makes human lives easy. So it’s about time it saves humans from having to cook after a long tiring day at work, or at times when you’re just not in the mood to enter the kitchen.

The NOSH device, developed by the Euphotic Labs, was conceived by Yatin Varachhia, co-founder of the Bengaluru-based startup. The 34-year-old says the inspiration to build a device stemmed from his struggle of having good food.

Read more | >

A legitimate Windows search feature is being exploited by unknown malicious actors to download arbitrary payloads from remote servers and compromise targeted systems with remote access trojans such as AsyncRAT and Remcos RAT.

The novel attack technique, per Trellix, takes advantage of the “search-ms:” URI protocol handler, which offers the ability for applications and HTML links to launch custom local searches on a device, and the “search:” application protocol, a mechanism for calling the desktop search application on Windows.

“Attackers are directing users to websites that exploit the ‘search-ms’ functionality using JavaScript hosted on the page,” security researchers Mathanraj Thangaraju and Sijo Jacob said in a Thursday write-up. “This technique has even been extended to HTML attachments, expanding the attack surface.”

Read more | >

Not surprisingly, the Intelligence Community (IC), Department of Defense (DoD), and first responders at the Department of Homeland Security (DHS) and other agencies are also interested in wearable electronics. With its Smart Electrically Powered and Networked Textile Systems (SMART ePANTS) program, the Intelligence Advanced Research Projects Activity (IARPA) is delivering the largest single investment ever made1 to make Advanced Smart Textiles2 (AST) a reality.

According to SMART ePANTS Program Manager, Dr. Dawson Cagle, developing clothing with sensor systems that can record audio, video, and geolocation data would significantly improve the capabilities of IC, DoD, DHS staff, and others working in dangerous or high-stress environments, such as crime scenes and arms control inspections. Dr. Cagle also asserted that ASTs could collect information one doesn’t notice, which would increase job effectiveness.

Read more | >

Researchers from the Tokyo University of Science recently published a study in the journal Artificial Life and Robotics where they explored how machine learning can help detect deception.

Machine learning is a subset of artificial intelligence (AI) that involves the use of algorithms and statistical models to enable computers to learn and improve from experience without being explicitly programmed. In other words, it is a method of teaching computers to perform specific tasks by learning from data, patterns, and examples, rather than relying on pre-defined rules.

Detecting deception can be important in various situations, like questioning crime victims or suspects and interviewing patients with mental health issues. Sometimes, human interviewers might struggle to ask the right questions or spot deception accurately.

Read more | >

Just a few years ago, Berkeley engineers showed us how they could easily turn images into a 3D navigable scene using a technology called Neural Radiance Fields, or NeRF. Now, another team of Berkeley researchers has created a development framework to help speed up NeRF projects and make this technology more accessible to others.

Led by Angjoo Kanazawa, assistant professor of electrical engineering and computer sciences, the researchers have developed Nerfstudio, a Python framework that provides plug-and-play components for implementing NeRF-based methods, making it easier to collaborate and incorporate NeRF into projects. Kanazawa and her team will present their paper on Nerfstudio at SIGGRAPH 2023, and have published it as part of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings.

“Advancements in NeRF have contributed to its growing popularity and use in applications such as computer vision, robotics, and gaming. But support for development has been lagging,” said Kanazawa. “The Nerfstudio framework is intended to simplify the development of custom NeRF methods, the processing of real-world data and interacting with reconstructions.”

Read more | >