The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix

Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be ...

Nvidia’s AI networking moat is real – but the lock-in debate continues

Gilad Shainer explains why agentic inference turns the network into part of the computer. We believe Nvidia is materially ...
The Manila Times

AUDIENCEX Completes the Industry's First End-to-End Predictive Marketing Intelligence Suite

New AI-powered intelligence layer, developed in strategic partnership with Lift AI, completes the AXi Intelligence Suite - enabling brands to predict, simulate, prioritize, optimize and continuously ...
The Globe and Mail

Oncotelic Showcases PDAOAI™ Capability in Advancing Drug Development. Featured in Qdrant Vector Space Day 2026 Keynote

PDAOAI Platform Indexes 28 Million PubMed Abstracts on Qdrant; Introduces Manifold Folding to Solve the Infinity Problem in Biomedical Knowledge Retrieval AGOURA HILLS, CA, June 08, 2026 (GLOBE ...
CSOonline

Insider risk in an age of workforce volatility

Economic pressure, AI displacement, and organizational churn are conflating to create the conditions for heightened insider threats — with impact potentials far greater than ever before. Economic ...
Fair Observer

The Fall of Democracy Is a Markov Process

The peculiarities of classical Greece make empirical theories of political revolution much easier to imagine than in, say, the Persian Empire, which was a hereditary monarchy for pretty much its ...
The Hacker News

(Cyber) Risk = Probability of Occurrence x Damage

In late 2023, the Common Vulnerability Scoring System (CVSS) v4.0 was unveiled, succeeding the eight-year-old CVSS v3.0, with the aim to enhance vulnerability assessment for both industry and the ...
C&EN

Fortuitous Correlations in Molecular Dynamics Simulations: Their Harmful Influence on the Probability Distributions of the Main Principal Components

The Principal Component Analysis (PCA) is a procedure extensively employed in data science with diverse purposes. It has found widespread use in making sense of data collected from Molecular Dynamics ...
IEEE

Class Probability and Generalized Bell Fuzzy Twin SVM for Imbalanced Data

Abstract: The data mining community has a major challenge in classifying datasets with noise, outliers, and imbalanced classes. Twin support vector machine (TSVM) is a well-known plane-based learning ...