CyberIntel ⬡ News
★ Saved ◆ Cyber Reads

// AI & Machine Learning
Intel Feed

cyberintel.kalymoon.com  ·  4861 articles  ·  updated every 4 hours · grows forever

4861Total
4818Full Text
Jul 07, 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 Apr 29, 2026
Mizuho Upgrades CrowdStrike With a $520 Price Target: Is AI Security the Next Mega-Trade? - 24/7 Wall St.

Mizuho Upgrades CrowdStrike With a $520 Price Target: Is AI Security the Next Mega-Trade? 24/7 Wall St.

24/7 Wall St. Read →
◬ AI & Machine Learning Apr 27, 2026
Rebuilding the data stack for AI

Artificial intelligence may be dominating boardroom agendas, but many enterprises are discovering that the biggest obstacle to meaningful adoption is the state of their data. While consumer-facing AI …

MIT Tech Review AI Read →
◬ AI & Machine Learning Apr 27, 2026
How to build scalable web apps with OpenAI's Privacy Filter
Hugging Face Read →
◬ AI & Machine Learning Apr 27, 2026
Join the new AI Agents Vibe Coding Course from Google and Kaggle

Google is bringing back its 5-Day AI Agents Intensive Course with Kaggle and registration is open.

Google AI Read →
◬ AI & Machine Learning Apr 27, 2026
Top Cybersecurity Companies in India 2026 – Best AI Security Firms & TraceX Labs - First India

Top Cybersecurity Companies in India 2026 – Best AI Security Firms & TraceX Labs First India

First India Read →
◬ AI & Machine Learning Apr 27, 2026
Shared Lexical Task Representations Explain Behavioral Variability In LLMs

arXiv:2604.22027v1 Announce Type: cross Abstract: One of the most common complaints about large language models (LLMs) is their prompt sensitivity -- that is, the fact that their ability to perform a …

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
Foundation models for discovering robust biomarkers of neurological disorders from dynamic functional connectivity

arXiv:2604.22018v1 Announce Type: cross Abstract: Several brain foundation models (FM) have recently been proposed to predict brain disorders by modelling dynamic functional connectivity (FC). While t…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
Universal Transformers Need Memory: Depth-State Trade-offs in Adaptive Recursive Reasoning

arXiv:2604.21999v1 Announce Type: cross Abstract: We study learned memory tokens as computational scratchpad for a single-block Universal Transformer (UT) with Adaptive Computation Time (ACT) on Sudok…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
Multi-Task Optimization over Networks of Tasks

arXiv:2604.21991v1 Announce Type: cross Abstract: Multi-task optimization is a powerful approach for solving a large number of tasks in parallel. However, existing algorithms face distinct limitations…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
Model Predictive Control of Hybrid Dynamical Systems

arXiv:2604.21989v1 Announce Type: cross Abstract: The problem of controlling hybrid dynamical systems using model predictive control (MPC) is formulated and sufficient conditions for asymptotic stabil…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
A general optimization solver based on OP-to-MaxSAT reduction

arXiv:2604.21961v1 Announce Type: cross Abstract: Optimization problems are fundamental in diverse fields, such as engineering, economics, and scientific computing. However, current algorithms are mos…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
A systematic review of generative AI usage for IT project management

arXiv:2604.21958v1 Announce Type: cross Abstract: This paper aims to synthesize current knowledge on generative AI in IT project management using the PRISMA methodology to provide researchers with a c…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
MambaCSP: Hybrid-Attention State Space Models for Hardware-Efficient Channel State Prediction

arXiv:2604.21957v1 Announce Type: cross Abstract: Recent works have demonstrated that attention-based transformer and large language model (LLM) architectures can achieve strong channel state predicti…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models

arXiv:2604.21952v1 Announce Type: cross Abstract: This work presents a multi-layered methodology for efficiently accelerating multimodal foundation models (MFMs). It combines hardware and software co-…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation

arXiv:2604.21950v1 Announce Type: cross Abstract: Small language models (1-3B) are practical to run locally, but individually limited on harder code generation tasks. We ask whether composing them int…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
The Biggest Risk of Embodied AI is Governance Lag

arXiv:2604.21938v1 Announce Type: cross Abstract: Embodied AI is widely discussed as a job-displacement problem. The deeper risk, however, is governance lag: the inability of public institutions to ke…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions

arXiv:2601.05414v3 Announce Type: cross Abstract: As large language models (LLMs) transition from chat interfaces to integral components of stochastic pipelines and systems approaching general intelli…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond

arXiv:2604.22748v1 Announce Type: new Abstract: As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment dynamics becomes a centra…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity

arXiv:2604.22597v1 Announce Type: new Abstract: Recent advancements in large language models have led to significant improvements across various tasks, including mathematical reasoning, which is used …

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
QuantClaw: Precision Where It Matters for OpenClaw

arXiv:2604.22577v1 Announce Type: new Abstract: Autonomous agent systems such as OpenClaw introduce significant efficiency challenges due to long-context inputs and multi-turn reasoning. This results …

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
On the Hybrid Nature of ABPMS Process Frames and its Implications on Automated Process Discovery

arXiv:2604.22455v1 Announce Type: new Abstract: A core component of any AI-Augmented Business Process Management System (ABPMS) is the process frame, which gives the system process-awareness and defin…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
Superminds Test: Actively Evaluating Collective Intelligence of Agent Society via Probing Agents

arXiv:2604.22452v1 Announce Type: new Abstract: Collective intelligence refers to the ability of a group to achieve outcomes beyond what any individual member can accomplish alone. As large language m…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company

arXiv:2604.22446v1 Announce Type: new Abstract: Individual agent capabilities have advanced rapidly through modular skills and tool integrations, yet multi-agent systems remain constrained by fixed te…

arXiv AI Read →
◬ AI & Machine Learning Apr 27, 2026
AgentSearchBench: A Benchmark for AI Agent Search in the Wild

arXiv:2604.22436v1 Announce Type: new Abstract: The rapid growth of AI agent ecosystems is transforming how complex tasks are delegated and executed, creating a new challenge of identifying suitable a…

arXiv AI Read →
← Prev 107 / 203 Next →