Lifeboat Foundation

Large language models (LLMs), such as Open AI’s renowned conversational platform ChatGPT, have recently become increasingly widespread, with many internet users relying on them to find information quickly and produce texts for various purposes. Yet most of these models perform significantly better on computers, due to the high computational demands associated with their size and data processing capabilities.

To tackle this challenge, computer scientists have also been developing small language models (SLMs), which have a similar architecture but are smaller. These models could be easier to deploy directly on smartphones, allowing users to consult ChatGPT-like platforms more easily daily.

Researchers at Beijing University of Posts and Telecommunications (BUPT) recently introduced PhoneLM, a new SLM architecture for smartphones that could be both efficient and highly performing. Their proposed architecture, presented in a paper published on the arXiv preprint server, was designed to attain near-optimal runtime efficiency before it undergoes pre-training on text data.

Apple posts a list of U.S. wireless firms whose iPhone-using subscribers now support RCS.

Xreal is making waves in the world of mixed reality technology, offering a unique approach with its lightweight, almost portable glasses that project virtual screens directly in front of users’ eyes. The latest models, Xreal One and One Pro, come with a game-changing feature that enhances their usability—plug-and-play compatibility with nearly any device equipped with a USB-C video output.

Unlike previous models like the Air 2 Ultra, the Xreal One and One Pro are focused purely on screen mirroring. The glasses can seamlessly display content from an extensive range of devices, including iPhones, Android smartphones, Macs, PCs, and even the Steam Deck. All it takes is a quick connection via USB-C, and you’ll have a massive virtual screen in front of you—perfect for work, gaming, or watching a movie.

The technology behind these glasses relies on micro-OLED displays made by Sony, offering a resolution of 1920 × 1080 per eye. While this doesn’t quite match the ultra-high resolution of Apple’s Vision Pro, it’s worth noting that Xreal’s glasses come at a fraction of the cost—nearly ten times cheaper, in fact.

Quantum technologies are radically transforming our understanding of the universe. One emerging technology is macroscopic mechanical oscillators, devices that are vital in quartz watches, mobile phones, and lasers used in telecommunications. In the quantum realm, macroscopic oscillators could enable ultra-sensitive sensors and components for quantum computing, opening new possibilities for innovation in various industries.

Controlling mechanical oscillators at the quantum level is essential for developing future technologies in quantum computing and ultra-precise sensing. But controlling them collectively is challenging, as it requires near-perfect units, i.e., identical.

Most research in quantum optomechanics has centered on single oscillators, demonstrating quantum phenomena like ground-state cooling and quantum squeezing. But this hasn’t been the case for collective quantum behavior, where many oscillators act as one. Although these collective dynamics are key to creating more powerful quantum systems, they demand exceptionally precise control over multiple oscillators with nearly identical properties.

A groundbreaking advancement in technology is paving the way for mobile phones and other electronic devices to recharge simply by being kept in a pocket. This innovative system enables wireless charging throughout three-dimensional (3D) spaces, encompassing walls, floors, and air.

On December 12, Professor Franklin Bien and his research team in the Department of Electrical Engineering at UNIST announced the creation of a revolutionary electric resonance-based wireless power transfer (ERWPT) system, marking a significant milestone in the field. This modern technology allows devices to charge virtually anywhere within a 3D environment, addressing the longstanding challenges associated with traditional magnetic resonance wireless power transfer (MRWPT) and offering a robust solution that enables efficient power transmission without the constraints of precise device positioning.

The paper is published in the journal Advanced Science.

The BadBox Android malware botnet has grown to over 192,000 infected devices worldwide despite a recent sinkhole operation that attempted to disrupt the operation in Germany.

Researchers from BitSight warn that the malware appears to have expanded its targeting scope beyond no-name Chinese Android devices, now infecting more well-known and trusted brands like Yandex TVs and Hisense smartphones.

A new technology that can generate electricity from vibrations or even small body movements means you could charge your laptop by typing or power your smartphone’s battery on your morning run.

Researchers at the University of Waterloo have developed a tiny, wearable generator in response to the urgent need for sustainable, clean energy. It is also scalable for larger machines. Their paper, “Breaking Dielectric Dilemma: Polymer Functionalized Perovskite Piezocomposite with Large Current Density Output,” is published in the November edition of Nature Communications.

“This is a real game changer,” said Dr. Asif Khan, the project’s lead researcher and a postdoctoral fellow in the Department of Electrical and Computer Engineering at Waterloo. “We have made the first device of its kind that can power electronics at low cost and with unprecedented efficiency.”

A small team of AI researchers at Adobe Inc., working with a colleague from Auburn University and another from Georgia Tech, has developed a small language model (SLM) that they claim can be run locally on a smart phone with no access to the cloud. The group has written a paper describing their new app, which they call SlimLM, and have posted it to the arXiv preprint server.

As LLM technology continues to mature, researchers across the globe continue to find new ways to improve it. In this new effort, the research team has found a way to cut the cord for a specific type of AI application—processing documents locally.

As LLMs such as ChatGPT become more popular, users have become more worried about privacy. And it is not just individuals—companies large and small have adopted AI applications that assist with a variety of business processes, some of which require a high degree of privacy.

The Spanish police, working with colleagues in Peru, conducted a simultaneous crackdown on a large-scale voice phishing (vishing) scam ring in the two countries, arresting 83 individuals.

Thirty-five of the arrested people were located across Spain, including in Madrid, Barcelona, Mallorca, Salamanca, and Vigo, and another 48 were arrested in Peru.

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