The bottleneck in a mature SOC is rarely analyst triage; rather, it is the detection-engineering team's ability to keep the ...

A Lagos-based innovation studio has spent two years quietly building something that the global creative and education ...

The right apps can do wonders.

From late April 2026 to mid-June 2026, Microsoft Defender Experts observed increased ACR Stealer activity across customer ...

For years, the enterprise AI landscape has been defined by the "black box" model: static, opaque, and fundamentally rigid. Developers have long hit a wall with these generalist systems—they are either ...

Paper 1 (empirical) Entanglement Cartography of Large Language Models: An Entropy-Compression Law for Tensor Network Compression Discovers and validates the law on 408 weight matrices across GPT-2 ...

Abstract: Existing image compression methods tend to suffer from texture distortion, structural blurring, and loss of semantic details at ultra-low bitrates. To address these issues, this paper ...

Penguin-VL is a compact vision-language model family built to study how far multimodal efficiency can be pushed by redesigning the vision encoder, rather than only scaling data or model size.

Abstract: In this work, we present a lightweight and highly efficient prediction scheme for lossless image compression based on online gradient descent with L1 loss. Our predictor maintains adaptive ...