Introducing EMO: A New Frontier in Mixture-of-Experts Models

EMO, a novel mixture-of-experts model, emerges as a solution for modularity in AI, allowing selective expert usage while maintaining performance.

EMO, a novel mixture-of-experts model, emerges as a solution for modularity in AI, allowing selective expert usage while maintaining performance.

A new Brazilian banking trojan, TCLBANKER, has been identified, capable of targeting numerous financial platforms through sophisticated propagation methods.

At its annual developer conference, Anthropic introduced 'dreaming,' a new feature for its Claude Managed Agents platform that allows AI agents to learn from past experiences, alongside two other capabilities now in public beta.

CyberSecQwen-4B emerges as a specialized AI model designed for defensive cybersecurity tasks, emphasizing local deployment to enhance security and efficiency.

After initial skepticism, a deeper exploration of Codex reveals its enhanced capabilities and value compared to other AI coding tools.

A technician's experience highlights the challenges of field support when a custom-built PC fails to connect to the network due to a simple oversight.
The latest installment in the *Mortal Kombat* franchise delivers a brutal array of Fatalities, with a mix of creativity and familiar patterns. Here's a breakdown of the most memorable kills.
Google's Pixel automation tools, known as 'Rules,' are significantly less capable than Samsung's Modes & Routines, limiting users' ability to customize their smartphone experience.
A significant landslide in Tracy Arm, Alaska, triggered a tsunami that dramatically altered the fjord's landscape, stripping vegetation and reshaping the area.

ServiceNow's recent advancements in their vLLM model highlight the importance of backend correctness in reinforcement learning systems, particularly during the transition from version V0 to V1.