Day, Chrome Exploit, macOS Spyware, NVIDIA Toolkit RCE and More | Read more hacking news on The Hacker News cybersecurity news website and learn how to protect against cyberattacks and software ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Zero-shot LLM (out-of-the-box) had high specificity but low sensitivity, indicating that although these frameworks are useful for generic language understanding, they are lacking in terms of targeted ...

Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document or conversation, while neglecting the middle.

The US National Institute of Standards and Technology (NIST) has published new practical guidance on implementing zero trust architecture (ZTA). While previous NIST guidance on zero trust in 2020 ...

We introduce GeoVision Labeler (GVL), a strictly zero-shot classification framework: a vision Large Language Model (vLLM) generates rich, human-readable image descriptions, which are then mapped to ...

As organizations face growing threats and evolving infrastructures, the shift from perimeter-based defenses to Zero-Trust Architecture becomes essential. Backed by thorough research and practical ...

The emergence of foundation models has sparked interest in applications to single-cell biology, but when tested in zero-shot settings, they underperform compared to simpler methods. Alex Lu shares ...

DeepMind's CaMeL approach has demonstrated strong performance against prompt injection attacks in the AgentDojo benchmark by separating control/data flows.

In the rapidly evolving landscape of cybersecurity, zero-trust architecture has emerged as a critical framework for protecting digital assets and sensitive information. As organizations struggle ...