Category: Uncategorized

If you use screens for work and play, your child probably does too. These are the best pairs we’ve bought and tested for our own kids. Read more

Artificial intelligence systems often struggle with retaining meaningful context over extended interactions. This limitation poses challenges for applications such as chatbots and virtual assistants, where maintaining a coherent conversation thread is essential. Most traditional AI models operate in a stateless manner, focusing solely on immediate inputs without considering the continuity of prior exchanges. This lack… Read more

The modular phone concept returns and it’s rather boring. Read more

Here’s why people have been willingly smearing snail slime on their faces for centuries. Read more

Tweak these settings and stop missing out on what’s being said. Read more

Your VPN doesn’t always have to run on your phone or laptop. You can guard everything in your home from prying eyes. Read more

Developments in simulating particulate flows have significantly impacted industries ranging from mining to pharmaceuticals. Particulate systems consist of granular materials interacting with each other and surrounding fluids, and their accurate modeling is critical for optimizing processes. However, traditional numerical methods like the Discrete Element Method (DEM) face substantial computational limitations. These methods track particle movements… Read more

Dijkstra’s algorithm was long thought to be the most efficient way to find a graph’s best routes. Researchers have now proven that it’s “universally optimal.” Read more

Large Language Models (LLMs) have demonstrated exceptional capabilities across diverse applications, but their widespread adoption faces significant challenges. The primary concern stems from training datasets that contain varied, unfocused, and potentially harmful content, including malicious code and cyberattack-related information. This creates a critical need to align LLM outputs with specific user requirements while preventing misuse.… Read more

Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled data, which is costly and time-consuming. Active learning helps optimize this process by selecting the most informative unlabeled samples for annotation, reducing the labeling effort. However, most… Read more