CyberIntel ⬡ News
★ Saved ◆ Cyber Reads

// AI & Machine Learning
Intel Feed

cyberintel.kalymoon.com  ·  2828 articles  ·  updated every 4 hours · grows forever

2828Total
2785Full Text
May 19, 2026Latest
◈ Women in Cyber ◉ Threat Intelligence ◎ How-To & Tutorials ⬡ Vulnerabilities & CVEs 🔍 Digital Forensics ◍ Incident Response & DFIR ◆ Security Tools & Reviews ◇ Industry News & Leadership ✉ Email Security 🛡 Active Threats ⚠ Critical CVEs ◐ Insider Threat & DLP ◌ Quantum Computing ◬ AI & Machine Learning
🔥 Trending Topics · Last 48h
◬ AI & Machine Learning Mar 30, 2026
The Pentagon’s culture war tactic against Anthropic has backfired

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Last Thursday, a California judge temporarily blocked the Pent…

MIT Tech Review AI Read →
◬ AI & Machine Learning Mar 30, 2026
There are more AI health tools than ever—but how well do they work?

Earlier this month, Microsoft launched Copilot Health, a new space within its Copilot app where users will be able to connect their medical records and ask specific questions about their health. A cou…

MIT Tech Review AI Read →
◬ AI & Machine Learning Mar 30, 2026
datasette-llm 0.1a3

Release: datasette-llm 0.1a3 Adds the ability to configure which LLMs are available for which purpose , which means you can restrict the list of models that can be used with a specific plugin. #3 Tags…

Simon Willison Read →
◬ AI & Machine Learning Mar 30, 2026
Mr. Chatterbox is a (weak) Victorian-era ethically trained model you can run on your own computer

Trip Venturella released Mr. Chatterbox , a language model trained entirely on out-of-copyright text from the British Library. Here's how he describes it: Mr. Chatterbox is a language model trained en…

Simon Willison Read →
◬ AI & Machine Learning Mar 30, 2026
RSAC 2026 Recap: Agentic AI Hype, Cybersecurity Trends & Startup Reality Check – RSAC26 #4 - scworld.com

RSAC 2026 Recap: Agentic AI Hype, Cybersecurity Trends & Startup Reality Check – RSAC26 #4 scworld.com

scworld.com Read →
◬ AI & Machine Learning Mar 30, 2026
Dynamic LIBRAS Gesture Recognition via CNN over Spatiotemporal Matrix Representation

arXiv:2603.25863v1 Announce Type: cross Abstract: This paper proposes a method for dynamic hand gesture recognition based on the composition of two models: the MediaPipe Hand Landmarker, responsible f…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
Methods for Knowledge Graph Construction from Text Collections: Development and Applications

arXiv:2603.25862v1 Announce Type: cross Abstract: Virtually every sector of society is experiencing a dramatic growth in the volume of unstructured textual data that is generated and published, from n…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
GazeQwen: Lightweight Gaze-Conditioned LLM Modulation for Streaming Video Understanding

arXiv:2603.25841v1 Announce Type: cross Abstract: Current multimodal large language models (MLLMs) cannot effectively utilize eye-gaze information for video understanding, even when gaze cues are supp…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
A Compression Perspective on Simplicity Bias

arXiv:2603.25839v1 Announce Type: cross Abstract: Deep neural networks exhibit a simplicity bias, a well-documented tendency to favor simple functions over complex ones. In this work, we cast new ligh…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
ViGoR-Bench: How Far Are Visual Generative Models From Zero-Shot Visual Reasoners?

arXiv:2603.25823v1 Announce Type: cross Abstract: Beneath the stunning visual fidelity of modern AIGC models lies a "logical desert", where systems fail tasks that require physical, causal, or complex…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
Doctorina MedBench: End-to-End Evaluation of Agent-Based Medical AI

arXiv:2603.25821v1 Announce Type: cross Abstract: We present Doctorina MedBench, a comprehensive evaluation framework for agent-based medical AI based on the simulation of realistic physician-patient …

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
MAGNET: Autonomous Expert Model Generation via Decentralized Autoresearch and BitNet Training

arXiv:2603.25813v1 Announce Type: cross Abstract: We present MAGNET (Model Autonomously Growing Network), a decentralized system for autonomous generation, training, and serving of domain-expert langu…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
Beyond identifiability: Learning causal representations with few environments and finite samples

arXiv:2603.25796v1 Announce Type: cross Abstract: We provide explicit, finite-sample guarantees for learning causal representations from data with a sublinear number of environments. Causal representa…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations

arXiv:2603.25779v1 Announce Type: cross Abstract: Groundwater represents a key element of the water cycle, yet it exhibits intricate and context-dependent relationships that make its modeling a challe…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
Challenges and opportunities for AI to help deliver fusion energy

arXiv:2603.25777v1 Announce Type: cross Abstract: There is great potential for the application of AI tools in fusion research, and substantial worldwide benefit if fusion power is realised. However, u…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
Empowering Epidemic Response: The Role of Reinforcement Learning in Infectious Disease Control

arXiv:2603.25771v1 Announce Type: cross Abstract: Reinforcement learning (RL), owing to its adaptability to various dynamic systems in many real-world scenarios and the capability of maximizing long-t…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
ReCUBE: Evaluating Repository-Level Context Utilization in Code Generation

arXiv:2603.25770v1 Announce Type: cross Abstract: Large Language Models (LLMs) have recently emerged as capable coding assistants that operate over large codebases through either agentic exploration o…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
IncreRTL: Traceability-Guided Incremental RTL Generation under Requirement Evolution

arXiv:2603.25769v1 Announce Type: cross Abstract: Large language models (LLMs) have shown promise in generating RTL code from natural-language descriptions, but existing methods remain static and stru…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
UCAgent: An End-to-End Agent for Block-Level Functional Verification

arXiv:2603.25768v1 Announce Type: cross Abstract: Functional verification remains a critical bottleneck in modern IC development cycles, accounting for approximately 70% of total development time in m…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
Unlocking Strong Supervision: A Data-Centric Study of General-Purpose Audio Pre-Training Methods

arXiv:2603.25767v1 Announce Type: cross Abstract: Current audio pre-training seeks to learn unified representations for broad audio understanding tasks, but it remains fragmented and is fundamentally …

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
ETA-VLA: Efficient Token Adaptation via Temporal Fusion and Intra-LLM Sparsification for Vision-Language-Action Models

arXiv:2603.25766v1 Announce Type: cross Abstract: The integration of Vision-Language-Action (VLA) models into autonomous driving systems offers a unified framework for interpreting complex scenes and …

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
Consistency Amplifies: How Behavioral Variance Shapes Agent Accuracy

arXiv:2603.25764v1 Announce Type: cross Abstract: As LLM-based agents are deployed in production systems, understanding their behavioral consistency (whether they produce similar action sequences when…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning

arXiv:2603.25758v1 Announce Type: cross Abstract: Diffusion models have significantly reshaped the field of generative artificial intelligence and are now increasingly explored for their capacity in d…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models

arXiv:2603.25750v1 Announce Type: cross Abstract: As the paradigm of AI shifts from text-based LLMs to Speech Language Models (SLMs), there is a growing demand for full-duplex systems capable of real-…

arXiv AI Read →
← Prev 79 / 118 Next →